Ontology Exemplification for aspocms in the Semantic Web

Size: px
Start display at page:

Download "Ontology Exemplification for aspocms in the Semantic Web"

Transcription

1 Ontology Exemplification for aspocms in the Semantic Web Anand Kumar Department of Computer Science Babasaheb Bhimrao Ambedkar University Lucknow , India Sanjay K. Dwivedi Department of Computer Science Babasaheb Bhimrao Ambedkar University Lucknow , India Abstract Explicit modeling of administrative workflow processes and their enactment in workflow systems have proved to be valuable in increasing the efficiency of work in organizations on the basis of distributed information for different parties. The Semantic Web is the provision to provide distributed information with well-defined meaning and understandability for different parties such as machine as well as human. An Agent-based Semantic Web for Paperless Office Content Management System (aspocms) intends to provide paperless environment for administrative offices of universities and institutes. In this paper, we discuss the ontologies framework with their suitable exemplification for aspocms in paperless environment with the emergence of the Semantic Web perspective and show that how the Semantic Web resource description formats and language can be utilized for paperless office content management system of hypertext structures from distributed metadata. The resources of aspocms are domain, user and observation, which are reconnoitered from ontologies and metadata. We consider a logic-based approach for administrative workflow services using TRIPLE, which facilitate the rule and query language for Semantic Web. Keywords- Workflow of Administration, Semantic Web, Web Technology, Rules, Description Logic, TRIPLE, Ontology. I. INTRODUCTION Paperless Office Content Management System has a long tradition of controlled terminologies in respect to workflow of administrative office with Semantic Web perspectives. The vision of the Semantic Web [1, 2] is capable the machines to interpret and process information in order to better support for humans in carrying out their various tasks with web based application. There are several technologies, which have been developed for shaping, constructing and developing the Semantic Web. The developed Semantic Web Technologies [3] provide us with supported tools for describing and annotating resources on the web in standardized ways, e.g. with Resource Description Framework (RDF) [4, 5], RDF Schema (RDFS) [6, 7] and Ontology Web Language (OWL) [8, 9] and its binding to XML (extensible Markup Language) [10]. The RDF provides a language to encode semantically annotated information and RDF Schema (RDF vocabulary) is a language for capturing schema information in terms of a typing system with inheritance and typed relations. Finally, OWL is a logical language that can be used to describe the constrains and possible interpretation of terms used to annotate the information. The information can be found in various resources (like RDF annotations on the documents themselves) i.e. documents, in annotation of these resources in metadata files (like RDF description) or in ontologies. We can think of functionality allowing us to derive new relation between information. In this connection, imagine a situation that a person is writing an electronic complain file (e.g. document related to financial support to a department and section of any higher educational institute and university) for the particular department in paperless environment. The claim file is complained to particular section with authorized user. Especially in the paperless environment, it is very important to overcome the one-size-fits-some approach and provide to competent authority with their individual experience. In one-size-fits-some approach the electronic complain file must be reliable for all users, which involve in the workflow of the files and documents. Now one question that emerges here is how workflow in paperless environment can be described. In order to our solution with respect to workflow in paperless environment, we envision workflow services capable of interpreting metadata-annotated claim files and documents resources understanding their annotations with respect to ontology of workflow and also with respect to top-level ontology, specific domain ontology, task-level ontology and application-level ontology. To deliver the claim files and documents resources, ontologies will be describing the metadata of files and documents and observations about the performance of staff with the user s current profile. Each aspocms [11] services possess reasoning rules for some specific adaptation purposes. These rules the query for resources and metadata, and reason over distributed data and metadata descriptions. A major step for reasoning after having queried user profile, domain ontologies and claim files or documents object is to construct a temporally valid task knowledge base as a base for applying adaptation rules. II. REPRESENTATION OF RESOURCES OF ASPOCMS Semantic Web technologies e.g. Uniform Resource Identifier (URI), Resource Description Framework (RDF), RDF Schema (RDFS) and Ontology Web Language (OWL) make available us with attractive potential. URI is a global naming scheme to identify the resources as Web identifier

2 by describing its primary access mechanism or by name in a particular namespace. RDF describes the concept of resources and their properties (metadata). The XML is the standard interchange format for RDF on the Semantic Web, although it is not the only format and RDF Schemas serve to define the relations between resources of the RDF documents. OWL represents to define the concepts of resources and relations of RDF and RDFS documents. There is no restriction on the use of different schemas together in one RDF file. The schema identification comes with attributes being used from that schema so backward dereferencing is again easily possible. We can rationalize the expectations of Semantic Web [12] over paperless office content management system in higher educational institutes and universities using Semantic Web technologies. Now, we are trying to represent the resources of Department of Computer Science of any university and institute for aspocms. These resources can be used to achieve the shared and reusability of knowledge within aspocms. The shared and reusability of knowledge provide the global linked knowledgebase to the agent-based applications as well as aspocms. As an example, we are depicted the resources of Department of Computer Science and their metadata in figure 1. We are represented office of Department of Computer Science with resource #DCS_Office_File. triples of subject-predicate-object. There is another language RDFS (RDF Schema) which uses vocabulary to define resources of RDF statements. The RDF statement is hence generated as following, which is depending on RDF graph of related file: Figure 1: Representation of Department related Files as RDF Statements. The above figure shows list of files of #DCS_Office_File such as #DCS_Dispatch_Fil e,#dcs_purchase_file,#dcs_admission_f ile,#dcs_examination_file,#dcs_lab_ma intenance_file,#dcs_imperst_money_fil e,#dcs_bill_guest_faculty_file,#dcs_u GC_Fellowship_File and #DCS_Scholarsh ip_file etc. with dcterms:haspart from Dublin Core metadata terms etc. We examine the above figure in The RDF statement of a file and document can use an attribute dc:title, dc:description, from Doblin Core Metadata Initiative [13] standard together with haspart from Dublin Core metadata terms etc. We can annotate the electronic version of the files and documents with the help of agent-based proposed system. The above RDF Schema provides a simple ontology language. The more powerful ontology language is also available, which reside on the top of RDF and RDF Schema. In order to combine reasoning mechanisms on distributed metadata and data resources, with the intention of generating link structures and to bring the interoperability ideas with an agent-based application. III. BRINGING TOGETHER RESOURCES AND REASONING In Semantic Web tower, we find the layer of rules and logic framework [14] on the top of RDF and ontology layer. In our approach, the communication between reasoning rules and the paperless office content management environment will take place by exchanging RDF annotations. The functions of reasoning is to discover potential relationship with the known relationship and acquire connotative knowledge with given knowledge by

3 certain logic and rule. The key players of university ontology reasoning is to insure that computer can interpret the information described by university ontology according to formal description of ontology and to discover unknown potential relationship and connotative information with known relationship according to the relation property in ontology of university. We carried out our reasoning by description logics in this paper. By exchanging RDF annotations, the communication between reasoning rules and the open information environment will take place. These reasoning rules are encoded in the TRIPLE rule language. Rule language especially designed for querying and transforming RDF models in TRIPLE [15, 16, 17]. TRIPLE supports namespaces, set of RDF statements reification and rules with syntax close to that of first-order logic. A namespace is a collection of names, which is identifies by a URIref and URIref denotes the common usage of a URI. A namespace declaration is an expression of the form namespaceabbreviation:=namespace. The resources can use these namespaces abbreviation. For example, DCS_Office := #CS_Office_Files. Statements are similar to F-Logic object syntax: An RDF statement (which is a TRIPLE) is written as Subject[Pr edicate Object]. Several statements with the same subject can be abbreviated in the following way: DCS_Office: index.html [rdf:type->doc:document; doc:hasdocumenttype->doc:complainfiles]; IV. DESIGN OF UNIVERSITY ONTOLOGY University ontology is the formalization of concepts sharing among workflow process field. Sharing concepts refers to the concept models of university information related to offices and workflow. We can design the workflow based University ontology to build up a paperless environment for enhanced office content management system [18]. The university ontology repository will be divided into four modules: top-level ontology, domain-level ontology, tasklevel ontology, application ontology. These levels of ontology and relationship between them are depicted in figure 2. Figure 2: Different Levels of Ontology and their Relationship A. Top-level Ontology It is generic ontology, which describe very general concepts independent of domain such that general concepts like Department, School and University etc. This ontology expresses universal concepts and the relationship among concepts. The general concepts of Departments and various Sections can be used by other University and Institute. For example, the school, department and section are the resources of a particular university. B. Domain Ontology Domain Ontology describes the vocabulary related to a generic domain e.g. the vocabulary of generic ontology is courses, faculty and student s profile of department with their courses etc. This ontology provides concepts and relationship among concepts of special domain. C. Task Ontology Task ontology describes the concepts and the relationships among concepts for special task or action (workflow). Task ontologies enable the reuse of services. If we have knowledge about processes and tasks within a specific domain then there is a higher potential for reuse of the knowledge and of the processes. In the task ontology, we can describe the various workflows of aspocms and their relationship among other workflow of files and documents. It provides the services to the users of aspocms with the authorization. D. Application Ontology The application ontology describes the concepts and relationships among concepts, which depends on special domain and task. In this level of ontology, we will describe the relationship between users and their association with various activities of aspocms with authorization. V. DOMAIN ONTOLOGIES DECLARATION The domain ontology is playing the vital important role in the proposed agent-based system, which enable with Semantic Web technologies. The domain ontologies are data schemas, which are providing a controlled vocabulary of concepts, each with an explicitly defined and machine process-able semantics. For the domain ontology declaration, first of all we need to determine domain resources. Domain ontologies comprise usually classes (which classifies objects of a domain) and relationship between them. One possible domain in paperless office content management system can be a domain of users and concepts described in and application domain. Domain ontology of users and their relationships to other components is represented in Figure 3. The class Users is used to annotate a resource. The users will be engaged on some concept roles e.g. some users are sending the electronic documents to other users for particular task as well as getting the electronic documents for further processing. These concept role is played by some special concept (actions of workflow) i.e. payment of guest faculty, new admission of student and payment of emprest bill etc. We use class Concept to annotate concepts.

4 Figure 3: Ontology of Users and their Relationship Concepts and Users are related through dc:right object property. The users can be ordered by dcterms:requires relationship. Users and concepts have a certain role in their collaboration in certain concepts. We represent these facts by instances of ConceptRole class and its two properties such that isplayedin and isplayedby. Users, concepts and concepts role can form hierarchical. We define subconceptsof and subconceptroleof properties for these properties. Figure 4: Ontology of User Types with their Classes Now, we are describing different types of users in aspocms according to services, which is classified into classes. Figure 4 depicts the ontology with several user types for paperless office content management system domain. The most top user class is Vice Chancellor. Vice Chancellor has two sub classes of users: Registrar and Finance Officer. Registrar class can be further specialized to Store & Maintenance, Estate, Administrative, Examination, Academic and Student Welfare classes. Administrative class can be further specialized to Establishment and Employee. Student Welfare class can be further specialized into Scholarship, Sport and NSS classes. Finance Officer class can be specialized as DR(Finance) sub-class and DR(Finance) can be further specialized as AR(Finance). VI. OBSERVATIONS OF USER S PERFORMANCE AND DEDICATION The users interact with a hypertext structure of aspocms during runtime. The user s interactions can be used to draw conclusions about possible user performance, about user s dedication with their responsibility etc. Ontology of observations should provide a structure of information about possible user observations. A simple ontology for observing the performance of user is depicted in figure 5. The ontology allows us to instantiate facts that a Users of the system has interacted with hasinetraction (Object Property) with a particular Document with isabout (Object Property) via an interaction of a specific InteractionType. The Interaction has taken place in a time interval between begintime and endtime and has a certain level with ObservationLevel. The users can contribute to an interaction with several workflows of files and documents. There are different kinds of InteractionType such as access, bookmark, annotate etc. and there are different OveservationLevels that a user has visited a page, worked on a project and solved some exercise etc.

5 The main element of the ontology is the Association. The Association is built from two components: Bindings and UserType. These two components are related to association through hasbindings and hasusertype properties. Bindings reference a particular Document as resource, and their Feature. A Feature can be a Direction. The UserType has a name that is a string and the UserType also point to the UserDesignation. In the rest of these, Association can have associated with events through hasevent property, and an annotation through hasannotation property. The hasevent property defines an event, which is provided within the documents. Whenever the event is generated from observation with reasoning rules to which type of event are triggered. Figure 5: Ontology for User s Performance and their Dedication VII. PRESENTATION OF ONTOLOGY In this section we show that how we will describe the ontology structure which is relevant to paperless environment for administration of a universities or institutes. We can categories the resources of aspocms in various classes. These classes may be linked with each other with their own properties. The User and their binding with document, their annotation and event are depicted in figure 6. VIII. CONCLUSION We have demonstrated an approach to develop the various levels of ontologies (e.g. Top-level Ontology, Domain Ontology, Task Ontology and Application Ontology) for aspocms (An Agent-based Semantic Web for Paperless Office Content Management System). These ontologies have been used which correspond to the components of aspocms. The top level ontology describes very general concepts independent of domain such that general concepts like Department, School and University etc. The domain ontology is representing the activities of departments and sections, the relations between them and concepts covered in the domain of the departments and sections of higher educational institutes and universities. Task ontology describes the concepts and the relationships among concepts for special task or actions of various departments and users which enable the reuse of services and the application ontology generates the concepts and relationships among concepts, which depends on special domain and task. The user s performance and their dedication have been measured according to their response time on action of workflows. ACKNOWLEDGMENT Authors are grateful to Prof. B. Hanumaiah, Vice- Chancellor, Babasaheb Bhimrao Ambedkar University (A Central University) Lucknow, India for facilitating the research environment. We are also thankful to University Grant Commission, India for providing the financial support to the research students. REFERENCES Figure 6: A part of Presentation of ontology [1] Tim Berners-Lee, James Hendler and Ora Lassila. The Semantic Web. Scientific American, May [2] Tim Berners-Lee, Semantic Web-XML xml2ktbl/slide10-0.html [3] Fensel, D., Bussler, C., Ding, Y., Kartseva, A, Klein, V., Korotkiy, M., Omelayenko, M., and Siebes R, Semantic Web Application Areas, In Proceedings of the 7th International Workshop on Applications of Natural Language to Information Systems, Stockholm, Sweden, June 2002, pp27-28.

6 [4] O. Lassila and R. R. Swick (editors). Resource description framework (rdf) model and syntax specification. Feb, [5] W3C, RDF Primer, W3C Recommendation, Retrieved from, February [6] Brickley, D. & Guha, R. eds. (2002), Resource description framework (RDF) schema specification. W3C Working Draft 30 April 2002 Cambridge, MA: W3C. [7] Resource Description Framework (RDF) Schema Specification 1.0, retrieved October 10, 2004 from [8] OWL Web Ontology Language Reference. [9] Fensel, D., van Harmelen, F., Horrocks, I., McGuinness, D. L., & Patel-Schneider, P. F. (2001). OIL: An ontology infrastructure for the semantic web. IEEE Intelligent Systems, 16(2): [10] XML (2003). XML: extensible Markup Language, retrieved October 10, 2004 from [11] Sanjay K. Dwivedi and Anand Kumar, An Agent-based Semantic Web for Paperless Office Content Management System, ICDM 2010: Proceedings of 2010 Third International Conference on Data management, pp , Ghaziabad, India, March [12] Anand Kumar, Sanjay K. Dwivedi (2011). Semantic Web Expectations and Challenges in aspocms, International Journal on Recent Trends in Engineering & Technology [IJRTET], Volume 5, Issue 1, March 2011, pp [13] Weibel, S.; Kunze, J.; Lagoze, C.; Wolf, M Dublin Core Metadata for Resource Discovery. IETF #2413. The Internet Society, September [14] DAML+OIL, retrieved October 10, 2004 from [15] Sintek, M., & Decker, S. (2002). Triple - an rdf query, inference, and transformation language. In Horrocks, I. and Hendler, J. (Eds.) Proceedings of the International Semantic Web Conference (ISWC), Berlin: Springer Verlag, [16] Stefan Decker et al. TRIPLE - an RDF Rule Language with Context and Use Cases, W3C Workshop on Rule Languages for Interoperability, April 2005, Washington, D.C., USA. [17] Michael Sintek, Stefan Decker: TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web. International Semantic Web Conference (ISWC), Sardinia, June [18] Dr. Sanjay K. Dwivedi, Anand Kumar (2011). Administrative Office Content Management via Semantic Web A Case Study, ICICES 2011: Proceedings of the 2011 International Conference on Information, Communication & Embedded Systems, pp. 60, Chennai, India, February 2011.

Development of an Ontology-Based Portal for Digital Archive Services

Development of an Ontology-Based Portal for Digital Archive Services Development of an Ontology-Based Portal for Digital Archive Services Ching-Long Yeh Department of Computer Science and Engineering Tatung University 40 Chungshan N. Rd. 3rd Sec. Taipei, 104, Taiwan chingyeh@cse.ttu.edu.tw

More information

Towards the Semantic Desktop. Dr. Øyvind Hanssen University Library of Tromsø

Towards the Semantic Desktop. Dr. Øyvind Hanssen University Library of Tromsø Towards the Semantic Desktop Dr. Øyvind Hanssen University Library of Tromsø Agenda Background Enabling trends and technologies Desktop computing and The Semantic Web Online Social Networking and P2P Computing

More information

Semantic Web Domain Knowledge Representation Using Software Engineering Modeling Technique

Semantic Web Domain Knowledge Representation Using Software Engineering Modeling Technique Semantic Web Domain Knowledge Representation Using Software Engineering Modeling Technique Minal Bhise DAIICT, Gandhinagar, Gujarat, India 382007 minal_bhise@daiict.ac.in Abstract. The semantic web offers

More information

Semantic Web: vision and reality

Semantic Web: vision and reality Semantic Web: vision and reality Mile Jovanov, Marjan Gusev Institute of Informatics, FNSM, Gazi Baba b.b., 1000 Skopje {mile, marjan}@ii.edu.mk Abstract. Semantic Web is set of technologies currently

More information

Ontology Development Tools and Languages: A Review

Ontology Development Tools and Languages: A Review Ontology Development Tools and Languages: A Review Parveen 1, Dheeraj Kumar Sahni 2, Dhiraj Khurana 3, Rainu Nandal 4 1,2 M.Tech. (CSE), UIET, MDU, Rohtak, Haryana 3,4 Asst. Professor, UIET, MDU, Rohtak,

More information

Opus: University of Bath Online Publication Store

Opus: University of Bath Online Publication Store Patel, M. (2002) Metadata vocabularies and ontologies. In: Ontologies & Communications Working Group Meeting, Agentcities Information Day 2, 2002-09-09-2002-09-10, Lisbon. Link to official URL (if available):

More information

Racer: An OWL Reasoning Agent for the Semantic Web

Racer: An OWL Reasoning Agent for the Semantic Web Racer: An OWL Reasoning Agent for the Semantic Web Volker Haarslev and Ralf Möller Concordia University, Montreal, Canada (haarslev@cs.concordia.ca) University of Applied Sciences, Wedel, Germany (rmoeller@fh-wedel.de)

More information

The Semantic Web: A Vision or a Dream?

The Semantic Web: A Vision or a Dream? The Semantic Web: A Vision or a Dream? Ben Weber Department of Computer Science California Polytechnic State University May 15, 2005 Abstract The Semantic Web strives to be a machine readable version of

More information

Semi-automatic Composition of Web Services using Semantic Descriptions

Semi-automatic Composition of Web Services using Semantic Descriptions Semi-automatic Composition of Web Services using Semantic Descriptions Evren Sirin 1, James Hendler 2, and Bijan Parsia 2 1 University of Maryland, Computer Science Department, College Park MD 20742, USA

More information

Contents. G52IWS: The Semantic Web. The Semantic Web. Semantic web elements. Semantic Web technologies. Semantic Web Services

Contents. G52IWS: The Semantic Web. The Semantic Web. Semantic web elements. Semantic Web technologies. Semantic Web Services Contents G52IWS: The Semantic Web Chris Greenhalgh 2007-11-10 Introduction to the Semantic Web Semantic Web technologies Overview RDF OWL Semantic Web Services Concluding comments 1 See Developing Semantic

More information

Ontology Servers and Metadata Vocabulary Repositories

Ontology Servers and Metadata Vocabulary Repositories Ontology Servers and Metadata Vocabulary Repositories Dr. Manjula Patel Technical Research and Development m.patel@ukoln.ac.uk http://www.ukoln.ac.uk/ Overview agentcities.net deployment grant Background

More information

Semantic Web Technologies

Semantic Web Technologies 1/57 Introduction and RDF Jos de Bruijn debruijn@inf.unibz.it KRDB Research Group Free University of Bolzano, Italy 3 October 2007 2/57 Outline Organization Semantic Web Limitations of the Web Machine-processable

More information

Semantic Web Mining and its application in Human Resource Management

Semantic Web Mining and its application in Human Resource Management International Journal of Computer Science & Management Studies, Vol. 11, Issue 02, August 2011 60 Semantic Web Mining and its application in Human Resource Management Ridhika Malik 1, Kunjana Vasudev 2

More information

An Annotation Tool for Semantic Documents

An Annotation Tool for Semantic Documents An Annotation Tool for Semantic Documents (System Description) Henrik Eriksson Dept. of Computer and Information Science Linköping University SE-581 83 Linköping, Sweden her@ida.liu.se Abstract. Document

More information

Spinning the Semantic Web

Spinning the Semantic Web Spinning the Semantic Web Bringing the World Wide Web to Its Full Potential Edited by Dieter Fensel, James Hendler, Henry Lieberman, and Wolfgang Wahlster The MIT Press Cambridge, Massachusetts London,

More information

Towards the Semantic Web

Towards the Semantic Web Towards the Semantic Web Ora Lassila Research Fellow, Nokia Research Center (Boston) Chief Scientist, Nokia Venture Partners LLP Advisory Board Member, W3C XML Finland, October 2002 1 NOKIA 10/27/02 -

More information

The Semantic Web Revisited. Nigel Shadbolt Tim Berners-Lee Wendy Hall

The Semantic Web Revisited. Nigel Shadbolt Tim Berners-Lee Wendy Hall The Semantic Web Revisited Nigel Shadbolt Tim Berners-Lee Wendy Hall Today sweb It is designed for human consumption Information retrieval is mainly supported by keyword-based search engines Some problems

More information

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 4, Jul-Aug 2015

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 4, Jul-Aug 2015 RESEARCH ARTICLE OPEN ACCESS Multi-Lingual Ontology Server (MOS) For Discovering Web Services Abdelrahman Abbas Ibrahim [1], Dr. Nael Salman [2] Department of Software Engineering [1] Sudan University

More information

Semantic Web Knowledge Representation in the Web Context. CS 431 March 24, 2008 Carl Lagoze Cornell University

Semantic Web Knowledge Representation in the Web Context. CS 431 March 24, 2008 Carl Lagoze Cornell University Semantic Web Knowledge Representation in the Web Context CS 431 March 24, 2008 Carl Lagoze Cornell University Acknowledgements for various slides and ideas Ian Horrocks (Manchester U.K.) Eric Miller (W3C)

More information

RDF /RDF-S Providing Framework Support to OWL Ontologies

RDF /RDF-S Providing Framework Support to OWL Ontologies RDF /RDF-S Providing Framework Support to OWL Ontologies Rajiv Pandey #, Dr.Sanjay Dwivedi * # Amity Institute of information Technology, Amity University Lucknow,India * Dept.Of Computer Science,BBA University

More information

A Knowledge-Based System for the Specification of Variables in Clinical Trials

A Knowledge-Based System for the Specification of Variables in Clinical Trials A Knowledge-Based System for the Specification of Variables in Clinical Trials Matthias Löbe, Barbara Strotmann, Kai-Uwe Hoop, Roland Mücke Institute for Medical Informatics, Statistics and Epidemiology

More information

The 2 nd Generation Web - Opportunities and Problems

The 2 nd Generation Web - Opportunities and Problems The 2 nd Generation Web - Opportunities and Problems Dr. Uwe Aßmann Research Center for Integrational Software Engineering (RISE) Swedish Semantic Web Initiative (SWEB) Linköpings Universitet Contents

More information

Using RDF to Model the Structure and Process of Systems

Using RDF to Model the Structure and Process of Systems Using RDF to Model the Structure and Process of Systems Marko A. Rodriguez Jennifer H. Watkins Johan Bollen Los Alamos National Laboratory {marko,jhw,jbollen}@lanl.gov Carlos Gershenson New England Complex

More information

Towards a Data Consistency Modeling and Testing Framework for MOF Defined Languages

Towards a Data Consistency Modeling and Testing Framework for MOF Defined Languages Towards a Data Consistency Modeling and Testing Framework for MOF Defined Languages Jan Pettersen Nytun,2 Christian S. Jensen,3 Vladimir A. Oleshchuk Faculty of Engineering and Science, Agder University

More information

Semantic web. Tapas Kumar Mishra 11CS60R32

Semantic web. Tapas Kumar Mishra 11CS60R32 Semantic web Tapas Kumar Mishra 11CS60R32 1 Agenda Introduction What is semantic web Issues with traditional web search The Technology Stack Architecture of semantic web Meta Data Main Tasks Knowledge

More information

a paradigm for the Introduction to Semantic Web Semantic Web Angelica Lo Duca IIT-CNR Linked Open Data:

a paradigm for the Introduction to Semantic Web Semantic Web Angelica Lo Duca IIT-CNR Linked Open Data: Introduction to Semantic Web Angelica Lo Duca IIT-CNR angelica.loduca@iit.cnr.it Linked Open Data: a paradigm for the Semantic Web Course Outline Introduction to SW Give a structure to data (RDF Data Model)

More information

State of the Art of Semantic Web

State of the Art of Semantic Web State of the Art of Semantic Web Ali Alqazzaz Computer Science and Engineering Department Oakland University Rochester Hills, MI 48307, USA gazzaz86@gmail.com Abstract Semantic web is an attempt to provide

More information

Information Retrieval (IR) through Semantic Web (SW): An Overview

Information Retrieval (IR) through Semantic Web (SW): An Overview Information Retrieval (IR) through Semantic Web (SW): An Overview Gagandeep Singh 1, Vishal Jain 2 1 B.Tech (CSE) VI Sem, GuruTegh Bahadur Institute of Technology, GGS Indraprastha University, Delhi 2

More information

Description Logic Systems with Concrete Domains: Applications for the Semantic Web

Description Logic Systems with Concrete Domains: Applications for the Semantic Web Description Logic Systems with Concrete Domains: Applications for the Semantic Web Volker Haarslev and Ralf Möller Concordia University, Montreal University of Applied Sciences, Wedel Abstract The Semantic

More information

SEMANTIC WEB AND COMPARATIVE ANALYSIS OF INFERENCE ENGINES

SEMANTIC WEB AND COMPARATIVE ANALYSIS OF INFERENCE ENGINES SEMANTIC WEB AND COMPARATIVE ANALYSIS OF INFERENCE ENGINES Ms. Neha Dalwadi 1, Prof. Bhaumik Nagar 2, Prof. Ashwin Makwana 1 1 Computer Engineering, Chandubhai S Patel Institute of Technology Changa, Dist.

More information

Adaptable and Adaptive Web Information Systems. Lecture 1: Introduction

Adaptable and Adaptive Web Information Systems. Lecture 1: Introduction Adaptable and Adaptive Web Information Systems School of Computer Science and Information Systems Birkbeck College University of London Lecture 1: Introduction George Magoulas gmagoulas@dcs.bbk.ac.uk October

More information

OntoXpl Exploration of OWL Ontologies

OntoXpl Exploration of OWL Ontologies OntoXpl Exploration of OWL Ontologies Volker Haarslev and Ying Lu and Nematollah Shiri Computer Science Department Concordia University, Montreal, Canada haarslev@cs.concordia.ca ying lu@cs.concordia.ca

More information

Development of University Ontology for aspocms

Development of University Ontology for aspocms JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, VOL. 5, NO. 3, AUGUST 2013 213 Development of University Ontology for aspocms Sanjay K. Dwivedi Babasaheb Bhimrao Ambedkar University, Lucknow, India

More information

An Evaluation of Geo-Ontology Representation Languages for Supporting Web Retrieval of Geographical Information

An Evaluation of Geo-Ontology Representation Languages for Supporting Web Retrieval of Geographical Information An Evaluation of Geo-Ontology Representation Languages for Supporting Web Retrieval of Geographical Information P. Smart, A.I. Abdelmoty and C.B. Jones School of Computer Science, Cardiff University, Cardiff,

More information

International Journal of Scientific & Engineering Research, Volume 7, Issue 2, February ISSN

International Journal of Scientific & Engineering Research, Volume 7, Issue 2, February ISSN International Journal of Scientific & Engineering Research, Volume 7, Issue 2, February-2016 1402 An Application Programming Interface Based Architectural Design for Information Retrieval in Semantic Organization

More information

An RDF Model for Multi-Level Hypertext in Digital Libraries

An RDF Model for Multi-Level Hypertext in Digital Libraries An RDF Model for Multi-Level Hypertext in Digital Libraries Gudrun Fischer, Norbert Fuhr University of Dortmund, Germany 1 Multi-level hypertext in digital libraries A core concept of the Semantic Web

More information

New Tools for the Semantic Web

New Tools for the Semantic Web New Tools for the Semantic Web Jennifer Golbeck 1, Michael Grove 1, Bijan Parsia 1, Adtiya Kalyanpur 1, and James Hendler 1 1 Maryland Information and Network Dynamics Laboratory University of Maryland,

More information

Knowledge Representation, Ontologies, and the Semantic Web

Knowledge Representation, Ontologies, and the Semantic Web Knowledge Representation, Ontologies, and the Semantic Web Evimaria Terzi 1, Athena Vakali 1, and Mohand-Saïd Hacid 2 1 Informatics Dpt., Aristotle University, 54006 Thessaloniki, Greece evimaria,avakali@csd.auth.gr

More information

Formalizing Dublin Core Application Profiles Description Set Profiles and Graph Constraints

Formalizing Dublin Core Application Profiles Description Set Profiles and Graph Constraints Formalizing Dublin Core Application Profiles Description Set Profiles and Graph Constraints Mikael Nilsson, Alistair J. Miles, Pete Johnston, Fredrik Enoksson mikael@nilsson.name, A.J.Miles@rl.ac.uk, Pete.Johnston@eduserv.org.uk,

More information

From XML to Semantic Web

From XML to Semantic Web From XML to Semantic Web Changqing Li and Tok Wang Ling Department of Computer Science, National University of Singapore {lichangq, lingtw}@comp.nus.edu.sg Abstract. The present web is existing in the

More information

Chinese-European Workshop on Digital Preservation. Beijing (China), July 14 16, 2004

Chinese-European Workshop on Digital Preservation. Beijing (China), July 14 16, 2004 Chinese-European Workshop on Digital Preservation Beijing (China), July 14 16, 2004 Metadata-Registries Dr. Heike Neuroth Research & Development Göttingen State and University Library (SUB) neuroth@mail.sub.uni-goettingen.de

More information

SEMANTIC WEB LANGUAGES - STRENGTHS AND WEAKNESS

SEMANTIC WEB LANGUAGES - STRENGTHS AND WEAKNESS SEMANTIC WEB LANGUAGES - STRENGTHS AND WEAKNESS Sinuhé Arroyo Ying Ding Rubén Lara Universität Innsbruck Universität Innsbruck Universität Innsbruck Institut für Informatik Institut für Informatik Institut

More information

Knowledge and Ontological Engineering: Directions for the Semantic Web

Knowledge and Ontological Engineering: Directions for the Semantic Web Knowledge and Ontological Engineering: Directions for the Semantic Web Dana Vaughn and David J. Russomanno Department of Electrical and Computer Engineering The University of Memphis Memphis, TN 38152

More information

COMP6217 Social Networking Technologies Web evolution and the Social Semantic Web. Dr Thanassis Tiropanis

COMP6217 Social Networking Technologies Web evolution and the Social Semantic Web. Dr Thanassis Tiropanis COMP6217 Social Networking Technologies Web evolution and the Social Semantic Web Dr Thanassis Tiropanis t.tiropanis@southampton.ac.uk The narrative Semantic Web Technologies The Web of data and the semantic

More information

POMELo: A PML Online Editor

POMELo: A PML Online Editor POMELo: A PML Online Editor Alvaro Graves Tetherless World Constellation Department of Cognitive Sciences Rensselaer Polytechnic Institute Troy, NY 12180 gravea3@rpi.edu Abstract. This paper introduces

More information

Mapping between Digital Identity Ontologies through SISM

Mapping between Digital Identity Ontologies through SISM Mapping between Digital Identity Ontologies through SISM Matthew Rowe The OAK Group, Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK m.rowe@dcs.shef.ac.uk

More information

The Semantic Planetary Data System

The Semantic Planetary Data System The Semantic Planetary Data System J. Steven Hughes 1, Daniel J. Crichton 1, Sean Kelly 1, and Chris Mattmann 1 1 Jet Propulsion Laboratory 4800 Oak Grove Drive Pasadena, CA 91109 USA {steve.hughes, dan.crichton,

More information

SEMANTIC SUPPORT FOR MEDICAL IMAGE SEARCH AND RETRIEVAL

SEMANTIC SUPPORT FOR MEDICAL IMAGE SEARCH AND RETRIEVAL SEMANTIC SUPPORT FOR MEDICAL IMAGE SEARCH AND RETRIEVAL Wang Wei, Payam M. Barnaghi School of Computer Science and Information Technology The University of Nottingham Malaysia Campus {Kcy3ww, payam.barnaghi}@nottingham.edu.my

More information

The Semantic Web & Ontologies

The Semantic Web & Ontologies The Semantic Web & Ontologies Kwenton Bellette The semantic web is an extension of the current web that will allow users to find, share and combine information more easily (Berners-Lee, 2001, p.34) This

More information

Domain Specific Semantic Web Search Engine

Domain Specific Semantic Web Search Engine Domain Specific Semantic Web Search Engine KONIDENA KRUPA MANI BALA 1, MADDUKURI SUSMITHA 2, GARRE SOWMYA 3, GARIKIPATI SIRISHA 4, PUPPALA POTHU RAJU 5 1,2,3,4 B.Tech, Computer Science, Vasireddy Venkatadri

More information

Annotation for the Semantic Web During Website Development

Annotation for the Semantic Web During Website Development Annotation for the Semantic Web During Website Development Peter Plessers and Olga De Troyer Vrije Universiteit Brussel, Department of Computer Science, WISE, Pleinlaan 2, 1050 Brussel, Belgium {Peter.Plessers,

More information

Introduction. October 5, Petr Křemen Introduction October 5, / 31

Introduction. October 5, Petr Křemen Introduction October 5, / 31 Introduction Petr Křemen petr.kremen@fel.cvut.cz October 5, 2017 Petr Křemen (petr.kremen@fel.cvut.cz) Introduction October 5, 2017 1 / 31 Outline 1 About Knowledge Management 2 Overview of Ontologies

More information

Proposal for Implementing Linked Open Data on Libraries Catalogue

Proposal for Implementing Linked Open Data on Libraries Catalogue Submitted on: 16.07.2018 Proposal for Implementing Linked Open Data on Libraries Catalogue Esraa Elsayed Abdelaziz Computer Science, Arab Academy for Science and Technology, Alexandria, Egypt. E-mail address:

More information

Use and Analysis of Expected Similarity of Semantic Web Ontological Annotations

Use and Analysis of Expected Similarity of Semantic Web Ontological Annotations Nova Southeastern University NSUWorks CEC Theses and Dissertations College of Engineering and Computing 2008 Use and Analysis of Expected Similarity of Semantic Web Ontological Annotations Joe Lynn Look

More information

Extracting knowledge from Ontology using Jena for Semantic Web

Extracting knowledge from Ontology using Jena for Semantic Web Extracting knowledge from Ontology using Jena for Semantic Web Ayesha Ameen I.T Department Deccan College of Engineering and Technology Hyderabad A.P, India ameenayesha@gmail.com Khaleel Ur Rahman Khan

More information

An RDF NetAPI. Andy Seaborne. Hewlett-Packard Laboratories, Bristol

An RDF NetAPI. Andy Seaborne. Hewlett-Packard Laboratories, Bristol An RDF NetAPI Andy Seaborne Hewlett-Packard Laboratories, Bristol andy_seaborne@hp.com Abstract. This paper describes some initial work on a NetAPI for accessing and updating RDF data over the web. The

More information

Helmi Ben Hmida Hannover University, Germany

Helmi Ben Hmida Hannover University, Germany Helmi Ben Hmida Hannover University, Germany 1 Summarizing the Problem: Computers don t understand Meaning My mouse is broken. I need a new one 2 The Semantic Web Vision the idea of having data on the

More information

On Querying Ontologies with Contextual Logic Programming

On Querying Ontologies with Contextual Logic Programming On Querying Ontologies with Contextual Logic Programming Cláudio Fernandes, Nuno Lopes, and Salvador Abreu Universidade de Évora Abstract. We describe a system in which Contextual Logic Programming is

More information

Inferring Metadata for a Semantic Web Peer-to-Peer Environment

Inferring Metadata for a Semantic Web Peer-to-Peer Environment Brase, J., and Painter, M. (2004). Inferring Metadata for a Semantic Web Peer-to-Peer Environment. Educational Technology & Society, 7 (2), 61-67. Inferring Metadata for a Semantic Web Peer-to-Peer Environment

More information

Lecture Telecooperation. D. Fensel Leopold-Franzens- Universität Innsbruck

Lecture Telecooperation. D. Fensel Leopold-Franzens- Universität Innsbruck Lecture Telecooperation D. Fensel Leopold-Franzens- Universität Innsbruck First Lecture: Introduction: Semantic Web & Ontology Introduction Semantic Web and Ontology Part I Introduction into the subject

More information

Semantic Web Systems Introduction Jacques Fleuriot School of Informatics

Semantic Web Systems Introduction Jacques Fleuriot School of Informatics Semantic Web Systems Introduction Jacques Fleuriot School of Informatics 11 th January 2015 Semantic Web Systems: Introduction The World Wide Web 2 Requirements of the WWW l The internet already there

More information

Adding formal semantics to the Web

Adding formal semantics to the Web Adding formal semantics to the Web building on top of RDF Schema Jeen Broekstra On-To-Knowledge project Context On-To-Knowledge IST project about content-driven knowledge management through evolving ontologies

More information

New Approach to Graph Databases

New Approach to Graph Databases Paper PP05 New Approach to Graph Databases Anna Berg, Capish, Malmö, Sweden Henrik Drews, Capish, Malmö, Sweden Catharina Dahlbo, Capish, Malmö, Sweden ABSTRACT Graph databases have, during the past few

More information

An RDF Storage and Query Framework with Flexible Inference Strategy

An RDF Storage and Query Framework with Flexible Inference Strategy An RDF Storage and Query Framework with Flexible Inference Strategy Wennan Shen and Yuzhong Qu Department of Computer Science and Engineering, Southeast University, Nanjing 210096, P.R. China {wnshen,

More information

CHAPTER 1 INTRODUCTION

CHAPTER 1 INTRODUCTION 1 CHAPTER 1 INTRODUCTION Most of today s Web content is intended for the use of humans rather than machines. While searching documents on the Web using computers, human interpretation is required before

More information

Standardization of Ontologies

Standardization of Ontologies Standardization of Ontologies Kore Nordmann TU Dortmund March 17, 2009 Outline History Related technologies Ontology development General history HTML UNTANGLE HTML 2.0 XML rec. XHTML RDF(S)

More information

Logical reconstruction of RDF and ontology languages

Logical reconstruction of RDF and ontology languages Logical reconstruction of RDF and ontology languages Jos de Bruijn 1, Enrico Franconi 2, and Sergio Tessaris 2 1 Digital Enterprise Research Institute, University of Innsbruck, Austria jos.debruijn@deri.org

More information

Falcon-AO: Aligning Ontologies with Falcon

Falcon-AO: Aligning Ontologies with Falcon Falcon-AO: Aligning Ontologies with Falcon Ningsheng Jian, Wei Hu, Gong Cheng, Yuzhong Qu Department of Computer Science and Engineering Southeast University Nanjing 210096, P. R. China {nsjian, whu, gcheng,

More information

Introduction to the Semantic Web

Introduction to the Semantic Web Introduction to the Semantic Web Charlie Abela Department of Artificial Intelligence charlie.abela@um.edu.mt Lecture Outline Course organisation Today s Web limitations Machine-processable data The Semantic

More information

Business Rules in the Semantic Web, are there any or are they different?

Business Rules in the Semantic Web, are there any or are they different? Business Rules in the Semantic Web, are there any or are they different? Silvie Spreeuwenberg, Rik Gerrits LibRT, Silodam 364, 1013 AW Amsterdam, Netherlands {silvie@librt.com, Rik@LibRT.com} http://www.librt.com

More information

Bridging the Gap between Semantic Web and Networked Sensors: A Position Paper

Bridging the Gap between Semantic Web and Networked Sensors: A Position Paper Bridging the Gap between Semantic Web and Networked Sensors: A Position Paper Xiang Su and Jukka Riekki Intelligent Systems Group and Infotech Oulu, FIN-90014, University of Oulu, Finland {Xiang.Su,Jukka.Riekki}@ee.oulu.fi

More information

Semantic-Based Web Mining Under the Framework of Agent

Semantic-Based Web Mining Under the Framework of Agent Semantic-Based Web Mining Under the Framework of Agent Usha Venna K Syama Sundara Rao Abstract To make automatic service discovery possible, we need to add semantics to the Web service. A semantic-based

More information

SEMANTIC WEB LANGUAGES STRENGTHS AND WEAKNESS

SEMANTIC WEB LANGUAGES STRENGTHS AND WEAKNESS SEMANTIC WEB LANGUAGES STRENGTHS AND WEAKNESS Sinuhé Arroyo, Rubén Lara, Ying Ding, Michael Stollberg, Dieter Fensel Universität Innsbruck Institut für Informatik Technikerstraße 13 6020 Innsbruck, Austria

More information

Semantic Exploitation of Engineering Models: An Application to Oilfield Models

Semantic Exploitation of Engineering Models: An Application to Oilfield Models Semantic Exploitation of Engineering Models: An Application to Oilfield Models Laura Silveira Mastella 1,YamineAït-Ameur 2,Stéphane Jean 2, Michel Perrin 1, and Jean-François Rainaud 3 1 Ecole des Mines

More information

Reasoning on Business Processes and Ontologies in a Logic Programming Environment

Reasoning on Business Processes and Ontologies in a Logic Programming Environment Reasoning on Business Processes and Ontologies in a Logic Programming Environment Michele Missikoff 1, Maurizio Proietti 1, Fabrizio Smith 1,2 1 IASI-CNR, Viale Manzoni 30, 00185, Rome, Italy 2 DIEI, Università

More information

CEN MetaLex. Facilitating Interchange in E- Government. Alexander Boer

CEN MetaLex. Facilitating Interchange in E- Government. Alexander Boer CEN MetaLex Facilitating Interchange in E- Government Alexander Boer aboer@uva.nl MetaLex Initiative taken by us in 2002 Workshop on an open XML interchange format for legal and legislative resources www.metalex.eu

More information

Web Technologies Present and Future of XML

Web Technologies Present and Future of XML Web Technologies Present and Future of XML Faculty of Computer Science A.I.Cuza University of Iasi, Romania busaco@infoiasi.ro http://www.infoiasi.ro/~busaco Ph.D. Student: Multimedia Object Manipulation

More information

Performance Evaluation of National Knowledge Network Connectivity

Performance Evaluation of National Knowledge Network Connectivity International Journal of Computer Applications (975 888) Performance Evaluation of National Knowledge Network Connectivity Vipin Saxena, PhD. Department of Computer Science B.B. Ambedkar University (A

More information

Semantic agents for location-aware service provisioning in mobile networks

Semantic agents for location-aware service provisioning in mobile networks Semantic agents for location-aware service provisioning in mobile networks Alisa Devlić University of Zagreb visiting doctoral student at Wireless@KTH September 9 th 2005. 1 Agenda Research motivation

More information

Ontology-Based Schema Integration

Ontology-Based Schema Integration Ontology-Based Schema Integration Zdeňka Linková Institute of Computer Science, Academy of Sciences of the Czech Republic Pod Vodárenskou věží 2, 182 07 Prague 8, Czech Republic linkova@cs.cas.cz Department

More information

ONTOPARK: ONTOLOGY BASED PAGE RANKING FRAMEWORK USING RESOURCE DESCRIPTION FRAMEWORK

ONTOPARK: ONTOLOGY BASED PAGE RANKING FRAMEWORK USING RESOURCE DESCRIPTION FRAMEWORK Journal of Computer Science 10 (9): 1776-1781, 2014 ISSN: 1549-3636 2014 doi:10.3844/jcssp.2014.1776.1781 Published Online 10 (9) 2014 (http://www.thescipub.com/jcs.toc) ONTOPARK: ONTOLOGY BASED PAGE RANKING

More information

Ontological Modeling: Part 2

Ontological Modeling: Part 2 Ontological Modeling: Part 2 Terry Halpin LogicBlox This is the second in a series of articles on ontology-based approaches to modeling. The main focus is on popular ontology languages proposed for the

More information

Enhancing Security Exchange Commission Data Sets Querying by Using Ontology Web Language

Enhancing Security Exchange Commission Data Sets Querying by Using Ontology Web Language MPRA Munich Personal RePEc Archive Enhancing Security Exchange Commission Data Sets Querying by Using Ontology Web Language sabina-cristiana necula Alexandru Ioan Cuza University of Iasi September 2011

More information

Collaborative Ontology Construction using Template-based Wiki for Semantic Web Applications

Collaborative Ontology Construction using Template-based Wiki for Semantic Web Applications 2009 International Conference on Computer Engineering and Technology Collaborative Ontology Construction using Template-based Wiki for Semantic Web Applications Sung-Kooc Lim Information and Communications

More information

Rethinking Semantic Interoperability through Collaboration

Rethinking Semantic Interoperability through Collaboration E-GOV 2011 10 th Conference on Electronic Government Delft, August 28 September 2, 2011 Rue Froissart 36, Brussels - 1040, Belgium Rethinking Semantic Interoperability through Collaboration Stijn Goedertier

More information

Semantic Web and Electronic Information Resources Danica Radovanović

Semantic Web and Electronic Information Resources Danica Radovanović D.Radovanovic: Semantic Web and Electronic Information Resources 1, Infotheca journal 4(2003)2, p. 157-163 UDC 004.738.5:004.451.53:004.22 Semantic Web and Electronic Information Resources Danica Radovanović

More information

Multi-agent Semantic Web Systems: RDF Models

Multi-agent Semantic Web Systems: RDF Models ... Multi-agent Semantic Web Systems: RDF Models Ewan Klein School of Informatics January 30, 2012 Ewan Klein (School of Informatics) Multi-agent Semantic Web Systems: RDF Models January 30, 2012 1 / 33

More information

XML ALONE IS NOT SUFFICIENT FOR EFFECTIVE WEBEDI

XML ALONE IS NOT SUFFICIENT FOR EFFECTIVE WEBEDI Chapter 18 XML ALONE IS NOT SUFFICIENT FOR EFFECTIVE WEBEDI Fábio Ghignatti Beckenkamp and Wolfgang Pree Abstract: Key words: WebEDI relies on the Internet infrastructure for exchanging documents among

More information

Semantic Knowledge Management: The Marriage Of Semantic Web And Knowledge Management

Semantic Knowledge Management: The Marriage Of Semantic Web And Knowledge Management Semantic Knowledge Management: The Marriage Of Semantic Web And Knowledge Management Edi Department of Computer Science STMIK TIME Jalan Merbabu No. 32 AA-BB, Medan, North Sumatra 20212, Indonesia Telp.

More information

Automation of Semantic Web based Digital Library using Unified Modeling Language Minal Bhise 1 1

Automation of Semantic Web based Digital Library using Unified Modeling Language Minal Bhise 1 1 Automation of Semantic Web based Digital Library using Unified Modeling Language Minal Bhise 1 1 Dhirubhai Ambani Institute for Information and Communication Technology, Gandhinagar, Gujarat, India Email:

More information

Google indexed 3,3 billion of pages. Google s index contains 8,1 billion of websites

Google indexed 3,3 billion of pages. Google s index contains 8,1 billion of websites Access IT Training 2003 Google indexed 3,3 billion of pages http://searchenginewatch.com/3071371 2005 Google s index contains 8,1 billion of websites http://blog.searchenginewatch.com/050517-075657 Estimated

More information

A Planning-Based Approach for the Automated Configuration of the Enterprise Service Bus

A Planning-Based Approach for the Automated Configuration of the Enterprise Service Bus A Planning-Based Approach for the Automated Configuration of the Enterprise Service Bus Zhen Liu, Anand Ranganathan, and Anton Riabov IBM T.J. Watson Research Center {zhenl,arangana,riabov}@us.ibm.com

More information

Semantic Web and Python Concepts to Application development

Semantic Web and Python Concepts to Application development PyCon 2009 IISc, Bangalore, India Semantic Web and Python Concepts to Application development Vinay Modi Voice Pitara Technologies Private Limited Outline Web Need better web for the future Knowledge Representation

More information

Probabilistic Information Integration and Retrieval in the Semantic Web

Probabilistic Information Integration and Retrieval in the Semantic Web Probabilistic Information Integration and Retrieval in the Semantic Web Livia Predoiu Institute of Computer Science, University of Mannheim, A5,6, 68159 Mannheim, Germany livia@informatik.uni-mannheim.de

More information

Labelling & Classification using emerging protocols

Labelling & Classification using emerging protocols Labelling & Classification using emerging protocols "wheels you don't have to reinvent & bandwagons you can jump on" Stephen McGibbon Lotus Development Assumptions The business rationale and benefits of

More information

Library of Congress BIBFRAME Pilot. NOTSL Fall Meeting October 30, 2015

Library of Congress BIBFRAME Pilot. NOTSL Fall Meeting October 30, 2015 Library of Congress BIBFRAME Pilot NOTSL Fall Meeting October 30, 2015 THE BIBFRAME EDITOR AND THE LC PILOT The Semantic Web and Linked Data : a Recap of the Key Concepts Learning Objectives Describe the

More information

Abstract: In this paper we propose research on how the

Abstract: In this paper we propose research on how the The Semantic Web Converting the Current Web Services Imran Alam Shoeb Ahad Siddiqui Nida Khan Deptt Of CS Deptt Of CSE Deptt Of CSE Jamia Hamdard, Delhi Integral University, Lucknow Integral University,

More information

Exloring Semantic Web using Ontologies. Digivjay Singh *, R. K. Mishra **, Dehradun, Chandrashekhar ***

Exloring Semantic Web using Ontologies. Digivjay Singh *, R. K. Mishra **, Dehradun, Chandrashekhar *** Exloring Semantic Web using Ontologies Digivjay Singh *, R. K. Mishra **, Dehradun, Chandrashekhar *** * M.ech-CSE, Moradabad, ** Associate Professor, Department of CSE, DBGI *** Assistant Professor, Department

More information

SPARQL Back-end for Contextual Logic Agents

SPARQL Back-end for Contextual Logic Agents SPARQL Back-end for Contextual Logic Agents Cláudio Fernandes and Salvador Abreu Universidade de Évora Abstract. XPTO is a contextual logic system that can represent and query OWL ontologies from a contextual

More information

A GML SCHEMA MAPPING APPROACH TO OVERCOME SEMANTIC HETEROGENEITY IN GIS

A GML SCHEMA MAPPING APPROACH TO OVERCOME SEMANTIC HETEROGENEITY IN GIS A GML SCHEMA MAPPING APPROACH TO OVERCOME SEMANTIC HETEROGENEITY IN GIS Manoj Paul, S. K. Ghosh School of Information Technology, Indian Institute of Technology, Kharagpur 721302, India - (mpaul, skg)@sit.iitkgp.ernet.in

More information