<is web> Information Systems & Semantic Web University of Koblenz Landau, Germany
|
|
- Deborah Martin
- 6 years ago
- Views:
Transcription
1 Information Systems University of Koblenz Landau, Germany Semantic Multimedia Management - Multimedia on the - Thomas Franz,, Richard Arndt
2 A Common Scenario... Do you have any recent paper about semantic desktop developments? K-Cap B I attached a paper about a new ontology and integration approach... A C, this paper might be interesting for you C x-cosim.pdf x-cosim.pdf 2
3 Contextualized Information B x-cosim.pdf K-Cap I attached a paper about a new ontology and integration approach... 3
4 Classifying Information K-Cap A 4
5 Communicating B A VoIP 5
6 Goal Definition Integration Automation Information linkage based on RDF No shared semantics for information dealt with across desktop applications Cross-tool information exchange by 1:1 mappings only Scalable solution for mapping application-dependent data models Extensibility and reuseability to new applications Interoperability, rich axiomatization, clear defined meaning Modularization X-COSIM Locked down information that cannot easily be shared and linked across applications Redundant information management Inconsistent data High cognitive effort Legacy Desktops Semantic Desktops This talk This talk Legacy Desktops Prototypes Future/Desired Situation 6
7 Implicit Models and Data Formats Semantics of data hidden in applications` source code Data formats do not define the semantics of what is expressed by them???? 7
8 Narrow Conceptualizations Attachment == Page? Bookmark == Folder? == File? Folder User File Page Attachment Form Bookmark Access Sender Recipient Dir Image 8
9 Narrow Conceptualizations One-to-one conversion of data models to RDF does not resolve issues of conflicting conceptualizations 9
10 X-COSIMO: X-COSIM Ontology High quality reference model that describes information dealt with across desktop applications Uses RDF as flexible data structure that enables information linkage Formulated in OWL 10
11 How to Design a High Quality Ontology? Approach from [Oberle, 2005], [Oberle et al., 2006]: Use a well designed foundational ontology as a modelling basis to avoid shortcomings Foundational ontologies provide Formal precision Domain independence Broad scope Building upon foundational ontologies Prevents easy inclusion of modeling artefacts Reduces conceptual ambiguity Inherit rich axiomatization DOLCE + Ontology of Information Objects (OIO) 11
12 Methodology X-COSIM Narrow Conceptualizations Missing Semantics Legacy Desktops Semantic Data Model + Foundational Ontology Legend Challenge Building Block 12
13 Capturing Contextualized Information Foundational Ontology Context- Dependent Model Folder Sender Recipient Attachment 13
14 X-COSIMO Approach: Representing Aspects Identify core notion of context-dependent concepts Represent them by (sub-)concepts of the foundational ontology Represent domain-dependent conceptualizations wrt context Descriptions & Situations (D&S): Formalization of Descriptions which represent Context 14
15 X-COSIMO Approach Foundational Ontology Communication Context- Dependent Model Attachment Information Object Sender Recipient Agent 15
16 X-COSIMO Walkthrough Communication-Description defines satisfies Addresser Addressee Attachment plays plays Communication-Situation Agent setting Information-Object Semantic-Annotation satisfies setting Particular/Thing plays Semantic-Label-Role plays Annotated-Data-Role Method defines 16
17 Methodology X-COSIM Contextualized Information Representation of Context Narrow Conceptualizations Missing Semantics Legacy Desktops Semantic Data Model + Foundational Ontology Legend Challenge Building Block 17
18 Communication Module Classification of DOLCE ground entities, mainly by roleconcepts defined in a description Concepts: Addresser, Addressee, Message, Ground Entities: Agent, Information Object, Description Role Course Description IM Description Communication Description satisfies DispatchTime Address Communication Role defines Addresser Addressee Contact Message Communication Course modaltarget sequences defines Body Attachment Protocol defines Instant Message Transferred File IM Protocol played-by played-by played-by played-by Information Object Agent Description Information Object Communication Event realizes Communication Situation setting participant-in participant-in Digital Realization 18
19 Realization Module Describing the realization of information objects Distinction between Access-Protocol (e.g. IMAP, File System, HTTP) Identification (e.g. DB-Key, URL, File Path) Serialization (e.g. CSV, PDF, JPEG) Description Role Information Object realizes Realization Description Information Realization satisfies defines Protocol played-by Protocol Description Identifier Particular played-by Realizer Text Format Format played-by Format Description Binary Format Digital Realization LDAP ODBC XML CSV JPEG PDF Executable setting IMAP HTTP Posix MBOX RTF ODF 19
20 Aspects Supported by X-COSIM Modules Filing, Downloading, Modifying, Converting Descriptions and Situations Descriptions and Situations Sharing, Arguing, Explaining Descriptions and Situations Structuring, Summarizing, User-defined Ontologies Descriptions and Situations Creating, Reusing, Copy & Paste 20
21 DOLCE for Developers of Clients? X-COSIM Architecture Map between contextualized representations and the reference model Apps, Domain Models Data Access, Mapping Reference Model, Storage File Manager, Browser, Mail Client, Task Manager, Text Processor,... Dublin Core, Calendar, Foaf,... RDF API X-COSIMA X-COSIMO RDF Store SPARQL Particular Perdurant Abstract Quality Endurant Description Situation 21
22 The X-COSIM API (X-COSIMA) // Create a conversation Conversation conversation = new Conversation(); // bikeimage transferred as attachment between thomas and // Carsten within the created conversation = new (conversation, persona, addressofa, personb, addressofb); .setbodytext("hi B, I attached a paper about "); 22
23 Methodology X-COSIM Intuitive, context aware development interface Conceptual Architecture Contextualized Information Representation of Context Narrow Conceptualizations Missing Semantics Legacy Desktops Semantic Data Model + Foundational Ontology Legend Challenge Building Block 23
24 Resulting Meta Data Communication Aspect B A Realization Aspects Classification Aspect K-Cap 24
25 Example: From File to Conversation 25
26 State of Work Tools: Instant Messenger Thunderbird Plugin (in progress) Extensions for the Konqueror (KDE) File Manager Viewer (LENA) Extension for Tasks, Goals, Plans in progress X-COSIM to be applied in the EU integrated project X-COSIMO and X-COSIMA can be downloaded from 26
27 Thank You. This work was funded by the X-Media project ( sponsored by the European Commission as part of the Information Society Technologies (IST) programme under EC grant number IST-FP
28 Ontology of Information Objects ( OIO ) social-object information-encoding-system interpretedby information-object about realized-by ordered-by expressedby description satisfies agent particular information-realization situation setting 28
29 Methodology X-COSIM Missing Semantics Legacy Desktops Semantic Data Model Barrier Legend Resolution 29
30 Capturing Contextualized Information Contextual information, e.g. the fact that some information can be considered as a person can occur as sender of an should be captured within the reference model Descriptions & Situations (D&S): Formalization of Descriptions which represent Context Descriptions classify DOLCE ground entities within a Situation 30
31 Descriptions and Situations Formalization of descriptions which represent context. Descriptions define Parameters, Roles, and Courses that are used to classify DOLCE ground entities within a Situation defines Parameter Region expressed-by Description Information Object valued-by satisfies Concept Role Endurant Situation Social Object Course played-by sequences Perdurant setting requires 31
32 X-COSIMO Modules Modularized, distinguishing between core aspects of information relevant for PIM Communication (Sharing, Arguing, Explaining) Information Realization (Filing, Retrieving, Modifying) Classification (Structuring, Summarizing) (De)composition (Creating, Reusing) 32
33 X-COSIM Architecture Apps, Domain Models File Manager, Browser, Mail Client, Task Manager, Text Processor,... Dublin Core, Calendar, Foaf,... Applications that build upon contextualized information representations Data Access, Mapping RDF API X-COSIMA SPARQL Mapping between contextualized representations and the reference model Reference Model, Storage X-COSIMO RDF Store Abstract information representation (reference model) and storage 33
34 Methodology 34
35 Realization Pattern e.g. playing the role of an attachment c:\pics\bikeimage.jpg 35
36 Communication Pattern 36
37 Sample Scenario Thomas Carsten c:\my pics\bikeimage.jpg file:/home/carsten/pics/bikeimage.jp g RedBike 2-cylinderengine 37
38 Code Sample... // Create some addresses and agents carsten and thomas Address addresscarsten = new Address("saathoff@uni-koblenz.de"); Agent carsten = new Agent(addressCarsten); Address addressthomas = new Address("franz@uni-koblenz.de"); Agent thomas = new Agent(addressThomas); // Create an information object representing the information given by some image InformationObject bikeimage = new InformationObject("bikeImage"); // Create realization metadata for bikeimage: // Storage on harddisk, Format jpeg FileSystemRealization bikeimagerealization = new FileSystemRealization( bikeimage, new File(new URI("file:/myPics/bikeImage.jpg")), RealModule.I_jpeg); // Create a conversation Conversation conversation = new Conversation(); // bikeimage was transferred as attachment between thomas and // Carsten within the created conversation = new (conversation, thomas, addressthomas, carsten, addresscarsten); .addattachment(bikeimagerealization); .setbodytext("hi Carsten, I attached some image of my new bike :)");... 38
39 Code Sample... // Create a COMMLite content object from the so that it can be annotated using COMMLite ASCIIContent messagetext = new ASCIIContent( carstenreply.getmessageio().getresource().getjavauri(), messagecontentlocation); // Create an ASCIILocalization starting at char 21 and ending at // character This should locate the string "nice bike" in the body ASCIILocalization nicebike=new ASCIILocalization(21, 9, messagecontentlocation); // annotate the part of text specified by the nicebike localization with the bikeimage messagetext.addannotation( bikeimage.getresource().getjavauri(), nicebike); // Carsten annotates the image itself () ImageContent(carstensRealization.getRealizedInformation ImageContent ic = new.getresource().getjavauri(), carstensrealization.tocontentlocalization()); // Carsten annotates the image as a whole with 'SportsBike' ic.addannotation(new URI(" // Carsten annotates a particular polygon with '4-cylinder-engine' ic.addannotation(new URI(" new StillRegionLocalization( new Rectangle(140, 120), carstensrealization.tocontentlocalization()));... 39
40 Requirements Reusability Design a core ontology for any desktop application Extensibility Enable inclusion of further tools contexts Separation of Concerns Clear separation of domain knowledge and knowledge about structure Modularity Enable customization High degree of axiomatization Ensure interoperability through machine accessible semantics Task Manager Photo Manager Semantic Annotation Text Processor Text Descriptor Music Manager Compound Document 40
41 DOLCE Design Patterns: OIO DOLCE is a library of foundational ontologies that provides 2 design patterns (extensions) that are especially important for MPEG-7: Ontology of Information objects (OIO): Formalization of information exchange ( message ) Information object represents pure abstract information Relevance for X-COSIMO: Desktop applications deal with information objects, e.g. messages, files, web pages 41
42 Example Information Object Graz Tourist Guide Information Realization Booklet Information Encoding: English German ( Tower About: Places, Buildings (e.g. Clock Agent: 1. imedia Visitor / 2. Tourist Officer / 3. Graphics Designer Expresses: 1. Walking Path through Graz 2. Small-Size Tourist Guide 3. Arrangement of Illustrations 42
43 Based on DOLCE-Lite-Plus ( OIO ) Ontology of Information Objects ( DnS ) Descriptions and Situations provide a broad conceptual scope and a methodological approach to ontology engineering Modularized, distinguishing between core aspects of information relevant for PIM ( Modifying Information Realization (Filing, Retrieving, ( Explaining Communication (Sharing, Arguing, ( Summarizing Classification (Structuring, ( Reusing (De)composition (Creating, 43
44 Prototypes Current s solve problems partially: Use of RDF + Schema/Ontology language to add semantics to data formats Enable cross-data classifications Task Description Owner Due Date Input Output File Owner Access Rights Mime Type File Size Create Date label:taskx Sender Recipient Body Attachment Date label:eventx Event Tit le Moder at or Par t icipant Locat ion Tim e Topics 44
45 Prototypes Do not support information reuse across applications, only cross-information classification (based on translation of application models to RDF) Lack a methodology for mapping between (semantically) augmented data formats one-to-one mappings that do not scale employed reference models lack a development methodology that enables context representation and extensibility 45
Increasing information fluence in knowledge work
Increasing information fluence in knowledge work Steffen Staab Institute for Web Science & Technologies - WeST Motivation I have bought myself a 30 screen, because half of my work is re-typing existing
More information<is web> 1 st Face to Face Meeting of the W3C XG Multimedia Semantics XG MMSEM. Thomas Franz. ISWeb - Information Systems & Semantic Web
University of Koblenz-Landau, Germany 1 st Face to Face Meeting of the W3C XG Multimedia Semantics ISWeb @ XG MMSEM ISWeb Interests by Books Ontologies Text & Multimedia P2P Webservices Projects Ontologies
More informationReport from the W3C Semantic Web Best Practices Working Group
Report from the W3C Semantic Web Best Practices Working Group Semantic Web Best Practices and Deployment Thomas Baker, Göttingen State and University Library Cashmere-int Workshop Standardisation and Transmission
More informationThe NEPOMUK project. Dr. Ansgar Bernardi DFKI GmbH Kaiserslautern, Germany
The NEPOMUK project Dr. Ansgar Bernardi DFKI GmbH Kaiserslautern, Germany ansgar.bernardi@dfki.de Integrated Project n 27705 Priority 2.4.7 Semantic knowledge based systems NEPOMUK is a three-year Integrated
More informationCOMM: Designing a Well-Founded Multimedia Ontology for the Web
COMM: Designing a Well-Founded Multimedia Ontology for the Web Richard Arndt 1, Raphaël Troncy 2, and Steffen Staab 1, Lynda Hardman 2,, and Miroslav Vacura 3 1 ISWeb, University of Koblenz-Landau, Germany
More informationcase study The Asset Description Metadata Schema (ADMS) A common vocabulary to publish semantic interoperability assets on the Web July 2011
case study July 2011 The Asset Description Metadata Schema (ADMS) A common vocabulary to publish semantic interoperability assets on the Web DISCLAIMER The views expressed in this document are purely those
More informationWeb Architecture Part 3
Web Science & Technologies University of Koblenz Landau, Germany Web Architecture Part 3 http://www.w3.org/tr/2004/rec-webarch-20041215/ 1 Web Architecture so far Collection of details of how technology
More informationTowards a simplification of COMM-based multimedia annotations
Towards a simplification of COMM-based multimedia annotations Miroslav VACURA a, Raphaël TRONCY b a University of Economics, W. Churchill Sq.4, 13067, Prague 3, Czech Republic b CWI, Kruislaan 413, 1098
More informationSemantic Web. Ontology Pattern. Gerd Gröner, Matthias Thimm. Institute for Web Science and Technologies (WeST) University of Koblenz-Landau
Semantic Web Ontology Pattern Gerd Gröner, Matthias Thimm {groener,thimm}@uni-koblenz.de Institute for Web Science and Technologies (WeST) University of Koblenz-Landau July 18, 2013 Gerd Gröner, Matthias
More informationAn Entity Name Systems (ENS) for the [Semantic] Web
An Entity Name Systems (ENS) for the [Semantic] Web Paolo Bouquet University of Trento (Italy) Coordinator of the FP7 OKKAM IP LDOW @ WWW2008 Beijing, 22 April 2008 An ordinary day on the [Semantic] Web
More informationOntology driven voice-based interaction in mobile environment
Ontology driven voice-based interaction in mobile environment Jiri Kopsa 1, Zdenek Mikovec 1, Pavel Slavik 1 1 Czech Technical University in Prague Karlovo namesti 13, Prague 2, Czech Republic j.kopsa@fee.ctup.cz,
More information<is web> Information Systems & Semantic Web University of Koblenz Landau, Germany
Information Systems & University of Koblenz Landau, Germany Semantic Search examples: Swoogle and Watson Steffen Staad credit: Tim Finin (swoogle), Mathieu d Aquin (watson) and their groups 2009-07-17
More informationReducing Consumer Uncertainty
Spatial Analytics Reducing Consumer Uncertainty Towards an Ontology for Geospatial User-centric Metadata Introduction Cooperative Research Centre for Spatial Information (CRCSI) in Australia Communicate
More informationUniversity of Bath. Publication date: Document Version Publisher's PDF, also known as Version of record. Link to publication
Citation for published version: Patel, M & Duke, M 2004, 'Knowledge Discovery in an Agents Environment' Paper presented at European Semantic Web Symposium 2004, Heraklion, Crete, UK United Kingdom, 9/05/04-11/05/04,.
More informationA Formal Definition of RESTful Semantic Web Services. Antonio Garrote Hernández María N. Moreno García
A Formal Definition of RESTful Semantic Web Services Antonio Garrote Hernández María N. Moreno García Outline Motivation Resources and Triple Spaces Resources and Processes RESTful Semantic Resources Example
More informationNetworked Ontologies
Networked Ontologies Information Systems & Semantic Web Universität Koblenz-Landau Koblenz, Germany With acknowledgements to S. Schenk, M. Aquin, E. Motta and the NeOn project team http://www.neon-project.org/
More informationCOMM: A Core Ontology for Multimedia Annotation
COMM: A Core Ontology for Multimedia Annotation Richard Arndt 1, Raphaël Troncy 2, Steffen Staab 1, and Lynda Hardman 2 1 ISWeb, University of Koblenz-Landau, Germany, {rarndt staab}@uni-koblenz.de 2 CWI,
More informationOpus: University of Bath Online Publication Store
Patel, M. (2004) Semantic Interoperability in Digital Library Systems. In: WP5 Forum Workshop: Semantic Interoperability in Digital Library Systems, DELOS Network of Excellence in Digital Libraries, 2004-09-16-2004-09-16,
More informationThe Semantic Web DEFINITIONS & APPLICATIONS
The Semantic Web DEFINITIONS & APPLICATIONS Data on the Web There are more an more data on the Web Government data, health related data, general knowledge, company information, flight information, restaurants,
More informationLinked Data: Fast, low cost semantic interoperability for health care?
Linked Data: Fast, low cost semantic interoperability for health care? About the presentation Part I: Motivation Why we need semantic operability in health care Why enhancing existing systems to increase
More informationSemantic Multimedia.
Semantic Multimedia Steffen Staab 1, Ansgar Scherp 1, Richard Arndt 1, Raphael Troncy 2, Marcin Grzegorzek 1, Carsten Saathoff 1, Simon Schenk 1, and Lynda Hardman 2 1 ISWeb Research Group, University
More informationManaging Learning Objects in Large Scale Courseware Authoring Studio 1
Managing Learning Objects in Large Scale Courseware Authoring Studio 1 Ivo Marinchev, Ivo Hristov Institute of Information Technologies Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Block 29A, Sofia
More informationCOMM: A Core Ontology for Multimedia Annotation
COMM: A Core Ontology for Multimedia Annotation Richard Arndt 1, Raphaël Troncy 2, Steffen Staab 1, and Lynda Hardman 2 1 ISWeb, University of Koblenz-Landau, Germany, rarndt@uni-koblenz.de, staab@uni-koblenz.de
More informationPROJECT PERIODIC REPORT
PROJECT PERIODIC REPORT Grant Agreement number: 257403 Project acronym: CUBIST Project title: Combining and Uniting Business Intelligence and Semantic Technologies Funding Scheme: STREP Date of latest
More informationDurchblick - A Conference Assistance System for Augmented Reality Devices
Durchblick - A Conference Assistance System for Augmented Reality Devices Anas Alzoghbi 1, Peter M. Fischer 1, Anna Gossen 2, Peter Haase 2, Thomas Hornung 1, Beibei Hu 2, Georg Lausen 1, Christoph Pinkel
More informationMetadata harmonization for fun and profit
Metadata harmonization for fun and profit Keynote, DC 2011 Mikael Nilsson 1 About me Who am I? PhD thesis on metadata harmonization. Worked on metadata interop for ten years Former co-author/co-chair of
More informationBuilding the NNEW Weather Ontology
Building the NNEW Weather Ontology Kelly Moran Kajal Claypool 5 May 2010 1 Outline Introduction Ontology Development Methods & Tools NNEW Weather Ontology Design Application: Semantic Search Summary 2
More informationSpringer Science+ Business, LLC
Chapter 11. Towards OpenTagging Platform using Semantic Web Technologies Hak Lae Kim DERI, National University of Ireland, Galway, Ireland John G. Breslin DERI, National University of Ireland, Galway,
More informationInformation Retrieval and Knowledge Organisation
Information Retrieval and Knowledge Organisation Knut Hinkelmann Content Information Retrieval Indexing (string search and computer-linguistic aproach) Classical Information Retrieval: Boolean, vector
More informationD WSMO Data Grounding Component
Project Number: 215219 Project Acronym: SOA4All Project Title: Instrument: Thematic Priority: Service Oriented Architectures for All Integrated Project Information and Communication Technologies Activity
More informationarxiv: v1 [cs.lo] 23 Apr 2012
The Distributed Ontology Language (DOL): Ontology Integration and Interoperability Applied to Mathematical Formalization Christoph Lange 1,2, Oliver Kutz 1, Till Mossakowski 1,3, and Michael Grüninger
More informationVISO: A Shared, Formal Knowledge Base as a Foundation for Semi-automatic InfoVis Systems
VISO: A Shared, Formal Knowledge Base as a Foundation for Semi-automatic InfoVis Systems Jan Polowinski Martin Voigt Technische Universität DresdenTechnische Universität Dresden 01062 Dresden, Germany
More informationAnnotation Component in KiWi
Annotation Component in KiWi Marek Schmidt and Pavel Smrž Faculty of Information Technology Brno University of Technology Božetěchova 2, 612 66 Brno, Czech Republic E-mail: {ischmidt,smrz}@fit.vutbr.cz
More informationISO/IEC INTERNATIONAL STANDARD. Information technology Multimedia content description interface Part 5: Multimedia description schemes
INTERNATIONAL STANDARD ISO/IEC 15938-5 First edition 2003-05-15 Information technology Multimedia content description interface Part 5: Multimedia description schemes Technologies de l'information Interface
More informationMetadata in the Driver's Seat: The Nokia Metia Framework
Metadata in the Driver's Seat: The Nokia Metia Framework Abstract Patrick Stickler The Metia Framework defines a set of standard, open and portable models, interfaces, and
More informationOntology 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 informationTagFS Tag Semantics for Hierarchical File Systems
TagFS Tag Semantics for Hierarchical File Systems Stephan Bloehdorn, Olaf Görlitz, Simon Schenk, Max Völkel Institute AIFB, University of Karlsruhe, Germany {bloehdorn}@aifb.uni-karlsruhe.de ISWeb, University
More informationLogical 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 informationSemantic 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 informationNatural Language Processing with PoolParty
Natural Language Processing with PoolParty Table of Content Introduction to PoolParty 2 Resolving Language Problems 4 Key Features 5 Entity Extraction and Term Extraction 5 Shadow Concepts 6 Word Sense
More informationUtilizing Open Data for interactive knowledge transfer
Utilizing Open Data for interactive knowledge transfer qkai (qualifying Knowledge Acquisition and Inquiry) PhD research project at the Leibniz University of Hanover Faculty of Electrical Engineering and
More informationThe Use of Search Engines for Massively Scalable Forensic Repositories
The Use of Search Engines for Massively Scalable Forensic Repositories www.cybertapllc.com/ John H. Ricketson jricketson@cybertapllc.com jricketson@dejavutechnologies.com +1-978-692-7229 Who Is cybertap?
More informationXETA: extensible metadata System
XETA: extensible metadata System Abstract: This paper presents an extensible metadata system (XETA System) which makes it possible for the user to organize and extend the structure of metadata. We discuss
More informationPrototype D10.2: Project Web-site
EC Project 257859 Risk and Opportunity management of huge-scale BUSiness community cooperation Prototype D10.2: Project Web-site 29 Dec 2010 Version: 1.0 Thomas Gottron gottron@uni-koblenz.de Institute
More informationAn 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 informationThe Personal Knowledge Workbench of the NEPOMUK Semantic Desktop
The Personal Knowledge Workbench of the NEPOMUK Semantic Desktop Gunnar Aastrand Grimnes, Leo Sauermann, and Ansgar Bernardi DFKI GmbH, Kaiserslautern, Germany gunnar.grimnes@dfki.de, leo.sauermann@dfki.de,
More informationEC-TEL Community Hypermedia in Collaborative Marc Spaniol. and Self-reflective E-learning Applications. Marc Spaniol
First European Conference on Technology Enhanced Learning Community Hypermedia in Collaborative and Self-reflective E-learning Applications Hersonissou, Greece, 2 nd of October 2006 I5-Spa1006-1/12 Agenda
More informationE-Commerce Integration Meta-Framework General Methodology (ECIMF-GM) CEN/ISSS/WS-EC/ECIMF. Draft, version 0.2 July 11, 2001
1 1 1 1 1 0 30 3 3 3 E-Commerce Integration Meta-Framework General Methodology (ECIMF-GM) 1. The methodology CEN/ISSS/WS-EC/ECIMF Draft, version 0. July 11, 001 The proposed methodology for analysis and
More informationAN INFORMATION SYSTEM FOR RESEARCH DATA IN MATERIAL SCIENCE
10.06.2013 Open Access Workshop DESY AN INFORMATION SYSTEM FOR RESEARCH DATA IN MATERIAL SCIENCE THORSTEN WUEST Page 1 Agenda 1. Introduction 2. Challenges and project goals 3. Use case and data model
More informationThe MUSING Approach for Combining XBRL and Semantic Web Data. ~ Position Paper ~
The MUSING Approach for Combining XBRL and Semantic Web Data ~ Position Paper ~ Christian F. Leibold 1, Dumitru Roman 1, Marcus Spies 2 1 STI Innsbruck, Technikerstr. 21a, 6020 Innsbruck, Austria {Christian.Leibold,
More information<is web> Information Systems & Semantic Web University of Koblenz Landau, Germany
Information Systems University of Koblenz Landau, Germany Joint Metamodels for UML and OWL Ontologies & Software Tech: Starting Point @Koblenz IST Institute for Software Technology @Koblenz OWL Model theory
More informationMeta-Bridge: A Development of Metadata Information Infrastructure in Japan
Proc. Int l Conf. on Dublin Core and Applications 2011 Meta-Bridge: A Development of Information Infrastructure in Japan Mitsuharu Nagamori Graduate School of Library, Information and Media Studies, University
More informationLinDA: A Service Infrastructure for Linked Data Analysis and Provision of Data Statistics
LinDA: A Service Infrastructure for Linked Data Analysis and Provision of Data Statistics Nicolas Beck, Stefan Scheglmann, and Thomas Gottron WeST Institute for Web Science and Technologies University
More informationThe NEPOMUK project. Dr. Ansgar Bernardi DFKI GmbH Kaiserslautern, Germany
The NEPOMUK project Dr. Ansgar Bernardi DFKI GmbH Kaiserslautern, Germany ansgar.bernardi@dfki.de Integrated Project n 27705 Priority 2.4.7 Semantic knowledge based systems NEPOMUK supports personal knowledge
More informationRethinking 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 informationData integration perspectives from the LTB project
Data integration perspectives from the LTB project Michele Pasin Centre for Computing in the Humanities Kings College, London michele.pasin@ kcl.ac.uk SDH-SEMI-2010 Montreal, Canada, June 2010 Summary
More informationWays for a Machine-actionable Processing Chain for Identifier, Metadata, and Data
Ways for a Machine-actionable Processing Chain for Identifier, Metadata, and Data Workshop on Metadata and Persistent Identifiers for Social and Economic Data May 7-8 2012, Berlin Joachim Wackerow GESIS
More informationEmbedding Metadata and Other Semantics In Word-Processing Documents
Embedding Metadata and Other Semantics In Word-Processing Documents Peter Sefton (University Southern Queensland) Ian Barnes (Australian National University) Ron Ward (University Southern Queensland) Jim
More informationWeb Portal : Complete ontology and portal
Web Portal : Complete ontology and portal Mustafa Jarrar, Ben Majer, Robert Meersman, Peter Spyns VUB STARLab, Pleinlaan 2 1050 Brussel {Ben.Majer,Mjarrar,Robert.Meersman,Peter.Spyns}@vub.ac.be, www.starlab.vub.ac.be
More informationEuropeana update: aspects of the data
Europeana update: aspects of the data Robina Clayphan, Europeana Foundation European Film Gateway Workshop, 30 May 2011, Frankfurt/Main Overview The Europeana Data Model (EDM) Data enrichment activity
More informationRealising the first prototype of the Semantic Interoperability Logical Framework
Realising the first prototype of the Semantic Interoperability Logical Framework Vahid Mojtahed, Vahid.Mojtahed@foi.se Mika Cohen, Mika.Cohen@foi.se Thomas Jansson, Thomas.Jansson@foi.se Martin Eklöf,
More informationLinked Open Data: a short introduction
International Workshop Linked Open Data & the Jewish Cultural Heritage Rome, 20 th January 2015 Linked Open Data: a short introduction Oreste Signore (W3C Italy) Slides at: http://www.w3c.it/talks/2015/lodjch/
More information0.1 Upper ontologies and ontology matching
0.1 Upper ontologies and ontology matching 0.1.1 Upper ontologies Basics What are upper ontologies? 0.1 Upper ontologies and ontology matching Upper ontologies (sometimes also called top-level or foundational
More informationThe MEG Metadata Schemas Registry Schemas and Ontologies: building a Semantic Infrastructure for GRIDs and digital libraries Edinburgh, 16 May 2003
The MEG Metadata Schemas Registry Schemas and Ontologies: building a Semantic Infrastructure for GRIDs and digital libraries Edinburgh, 16 May 2003 Pete Johnston UKOLN, University of Bath Bath, BA2 7AY
More informationSemantic Web. CS-E4410 Semantic Web, Eero Hyvönen Aalto University, Semantic Computing Research Group (SeCo)
Semantic Web CS-E4410 Semantic Web, 10.1.2018 Eero Hyvönen Aalto University, Semantic Computing Research Group (SeCo) http://seco.cs.aalto.fi University of Helsinki, HELDIG http://heldig.fi eero.hyvonen@aalto.fi
More informationTOWARDS ONTOLOGY DEVELOPMENT BASED ON RELATIONAL DATABASE
TOWARDS ONTOLOGY DEVELOPMENT BASED ON RELATIONAL DATABASE L. Ravi, N.Sivaranjini Department of Computer Science, Sacred Heart College (Autonomous), Tirupattur. { raviatshc@yahoo.com, ssk.siva4@gmail.com
More informationSemantic Web Fundamentals
Semantic Web Fundamentals Web Technologies (706.704) 3SSt VU WS 2018/19 with acknowledgements to P. Höfler, V. Pammer, W. Kienreich ISDS, TU Graz January 7 th 2019 Overview What is Semantic Web? Technology
More informationAn Archiving System for Managing Evolution in the Data Web
An Archiving System for Managing Evolution in the Web Marios Meimaris *, George Papastefanatos and Christos Pateritsas * Institute for the Management of Information Systems, Research Center Athena, Greece
More informationAutomation 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 informationReducing Consumer Uncertainty Towards a Vocabulary for User-centric Geospatial Metadata
Meeting Host Supporting Partner Meeting Sponsors Reducing Consumer Uncertainty Towards a Vocabulary for User-centric Geospatial Metadata 105th OGC Technical Committee Palmerston North, New Zealand Dr.
More informationSEMANTIC SOLUTIONS FOR OIL & GAS: ROLES AND RESPONSIBILITIES
SEMANTIC SOLUTIONS FOR OIL & GAS: ROLES AND RESPONSIBILITIES Jeremy Carroll, Ralph Hodgson, {jeremy,ralph}@topquadrant.com This paper is submitted to The W3C Workshop on Semantic Web in Energy Industries
More informationFrom Open Data to Data- Intensive Science through CERIF
From Open Data to Data- Intensive Science through CERIF Keith G Jeffery a, Anne Asserson b, Nikos Houssos c, Valerie Brasse d, Brigitte Jörg e a Keith G Jeffery Consultants, Shrivenham, SN6 8AH, U, b University
More informationSemantic 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 informationSemantic Web and Natural Language Processing
Semantic Web and Natural Language Processing Wiltrud Kessler Institut für Maschinelle Sprachverarbeitung Universität Stuttgart Semantic Web Winter 2014/2015 This work is licensed under a Creative Commons
More informationPorting Social Media Contributions with SIOC
Porting Social Media Contributions with SIOC Uldis Bojars, John G. Breslin, and Stefan Decker DERI, National University of Ireland, Galway, Ireland firstname.lastname@deri.org Abstract. Social media sites,
More informationData is the new Oil (Ann Winblad)
Data is the new Oil (Ann Winblad) Keith G Jeffery keith.jeffery@keithgjefferyconsultants.co.uk 20140415-16 JRC Workshop Big Open Data Keith G Jeffery 1 Data is the New Oil Like oil has been, data is Abundant
More informationUsing the Semantic Web in Ubiquitous and Mobile Computing
Using the Semantic Web in Ubiquitous and Mobile Computing Ora Lassila Research Fellow, Software & Applications Laboratory, Nokia Research Center Elected Member of Advisory Board, World Wide Web Consortium
More informationOntology Links in the Distributed Ontology Language (DOL)
Ontology Links in the Distributed Ontology Language (DOL) Oliver Kutz 1, Christoph Lange 1, Till Mossakowski 1,2 1 SFB/TR 8 Spatial cognition, University of Bremen, Germany 2 DFKI GmbH, Bremen, Germany
More informationKnowledge-Driven Video Information Retrieval with LOD
Knowledge-Driven Video Information Retrieval with LOD Leslie F. Sikos, Ph.D., Flinders University ESAIR 15, 23 October 2015 Melbourne, VIC, Australia Knowledge-Driven Video IR Outline Video Retrieval Challenges
More informationBenefits and Challenges of Architecture Frameworks
Benefits and Challenges of Architecture Frameworks Daniel Ota Michael Gerz {daniel.ota michael.gerz}@fkie.fraunhofer.de Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE
More informationDesktop and Mobile Guide Utility Telecom Accession Meeting
Desktop and Mobile Guide Utility Telecom Accession Meeting This guide is intended to help you navigate through Accession Meeting on your desktop and mobile phone. If you have any questions, call us at
More informationInformation mining and information retrieval : methods and applications
Information mining and information retrieval : methods and applications J. Mothe, C. Chrisment Institut de Recherche en Informatique de Toulouse Université Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse
More informationGoogle 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 informationA common metadata approach to support egovernment interoperability
ISWC 2011 10 th International Semantic Web Conference October, 2011 Rue Froissart 36, Brussels - 1040, Belgium A common metadata approach to support egovernment interoperability Makx Dekkers makx@makxdekkers.com
More informationDesigning a System Engineering Environment in a structured way
Designing a System Engineering Environment in a structured way Anna Todino Ivo Viglietti Bruno Tranchero Leonardo-Finmeccanica Aircraft Division Torino, Italy Copyright held by the authors. Rubén de Juan
More informationOracle Beehive. Webmail Help and Release Notes Release 2 ( )
Oracle Beehive Webmail Help and Release Notes Release 2 (2.0.1.7) E20318-01 July 2012 Document updated July 2012 Oracle Beehive Webmail is a Web-based e-mail application that provides instant anytime access
More informationWeb Semantic Annotation Using Data-Extraction Ontologies
Web Semantic Annotation Using Data-Extraction Ontologies A Dissertation Proposal Presented to the Department of Computer Science Brigham Young University In Partial Fulfillment of the Requirements for
More informationWorkshop W14 - Audio Gets Smart: Semantic Audio Analysis & Metadata Standards
Workshop W14 - Audio Gets Smart: Semantic Audio Analysis & Metadata Standards Jürgen Herre for Integrated Circuits (FhG-IIS) Erlangen, Germany Jürgen Herre, hrr@iis.fhg.de Page 1 Overview Extracting meaning
More informationManagement of Complex Product Ontologies Using a Web-Based Natural Language Processing Interface
Management of Complex Product Ontologies Using a Web-Based Natural Language Processing Interface Master Thesis Final Presentation A B M Junaed, 11.07.2016 Software Engineering for Business Information
More informationSemantic Web Methoden, Werkzeuge und Anwendungen
Semantic Web Methoden, Werkzeuge und Anwendungen Rudi Studer & Peter Haase Institut, Universität t Karlsruhe (TH) & FZI Forschungszentrum Informatik & Ontoprise GmbH Universität t Kassel 26. Januar 2006
More informationTaxonomy Tools: Collaboration, Creation & Integration. Dow Jones & Company
Taxonomy Tools: Collaboration, Creation & Integration Dave Clarke Global Taxonomy Director dave.clarke@dowjones.com Dow Jones & Company Introduction Software Tools for Taxonomy 1. Collaboration 2. Creation
More informationYiannis Kompatsiaris Multimedia Knowledge Laboratory CERTH - Informatics and Telematics Institute
Convergence of multimedia and knowledge technologies acemedia, Aim@Shape, BOEMIE, MESH, X-Media, K-Space, VITALAS and VICTORY Practitioner Day CIVR 2007 Yiannis Kompatsiaris CERTH - Introduction Content
More informationResearch Data Repository Interoperability Primer
Research Data Repository Interoperability Primer The Research Data Repository Interoperability Working Group will establish standards for interoperability between different research data repository platforms
More informationSTS Infrastructural considerations. Christian Chiarcos
STS Infrastructural considerations Christian Chiarcos chiarcos@uni-potsdam.de Infrastructure Requirements Candidates standoff-based architecture (Stede et al. 2006, 2010) UiMA (Ferrucci and Lally 2004)
More informationDevelopment of Contents Management System Based on Light-Weight Ontology
Development of Contents Management System Based on Light-Weight Ontology Kouji Kozaki, Yoshinobu Kitamura, and Riichiro Mizoguchi Abstract In the Structuring Nanotechnology Knowledge project, a material-independent
More informationIt Is What It Does: The Pragmatics of Ontology for Knowledge Sharing
It Is What It Does: The Pragmatics of Ontology for Knowledge Sharing Tom Gruber Founder and CTO, Intraspect Software Formerly at Stanford University tomgruber.org What is this talk about? What are ontologies?
More informationTool Support for Tradespace Exploration and Analysis
Tool Support for Tradespace Exploration and Analysis JAKUB J. MOSKAL, MITCH M. KOKAR PAUL R. WORK, THOMAS E. WOOD OCTOBER 29, 2014 Background and Motivation SBIR Phase I: OSD12-ER2 MOCOP : Functional Allocation
More informationHow to Build a Digital Library
How to Build a Digital Library Ian H. Witten & David Bainbridge Contents Preface Acknowledgements i iv 1. Orientation: The world of digital libraries 1 One: Supporting human development 1 Two: Pushing
More informationTerminologies, Knowledge Organization Systems, Ontologies
Terminologies, Knowledge Organization Systems, Ontologies Gerhard Budin University of Vienna TSS July 2012, Vienna Motivation and Purpose Knowledge Organization Systems In this unit of TSS 12, we focus
More informationB.H.GARDI COLLEGE OF MASTER OF COMPUTER APPLICATION. Ch. 1 :- Introduction Database Management System - 1
Basic Concepts :- 1. What is Data? Data is a collection of facts from which conclusion may be drawn. In computer science, data is anything in a form suitable for use with a computer. Data is often distinguished
More information