Semantic Cloud Generation based on Linked Data for Efficient Semantic Annotation
|
|
- Doris Hodge
- 5 years ago
- Views:
Transcription
1 Semantic Cloud Generation based on Linked Data for Efficient Semantic Annotation - Korea-Germany Joint Workshop for LOD Han-Gyu Ko Dept. of Computer Science, KAIST Korea Advanced Institute of Science and Technology
2 Table Contents 2 Introduction Motivation & Objective Requirements for Semantic Cloud Semantic Annotation Scheme Semantic Cloud Generation Approach Locating Spotting Points Selecting Relations to Traverse Identifying Similarity & Clustering A Case Study Analysis of Generated Semantic Clouds Implementation in the Web-based IPTV Environment Conclusion
3 Motivation 3 To provide semantic annotation as an alternative method for user-generated metadata To overcome the problem of semantic ambiguity of tags with plain texts e.g., Apple the fruit and Apple the company To fulfill the requirements of scalability and usability Problems of previous efforts on semantic annotation [5, 6] Use terms from ontologies created by domain experts Do not provide sufficient options to cover various kinds of semantics Do not necessarily reflect newly created knowledge in an up-to-date manner
4 Objectives 4 To provide a semantic-cloud-based annotation scheme Use semantic clouds as the primary interface Easy to add semantic annotation in resource-constrained environments (e.g., smart phones and IPTVs) To propose the framework of generating efficient semantic clouds To allow users to intuitively recognize candidate concepts with resolving semantic ambiguity To utilize Linked Data to generate semantic clouds
5 Semantic-Cloud-based Annotation Scheme 5
6 Semantic Cloud Generation Framework 6 Linked Data is large-scale & heterogeneous Semantic Web data More than 2.5 billions RDFs from over 200 different datasets [14] The proposed approach need to be incremental and iterative Three phases in the semantic cloud generation:
7 Phase 1: Locating Spotting Points 7 Traversing and finding relevant RDF nodes starting from more important and densely connected RDF nodes is more efficient Basic Principles More abstract nodes have higher degree of connections Relative concept hierarchy can be browsed by using SKOS relationships (skos:broader, skos:narrower)
8 8 Phase 2: Selecting Relations to Traverse Computational complexity for traversing RDF nodes can be reduced by considering relevant relations only Basic Principles Semantically relevant relations can be found by considering user contexts such as interests and preferences User interests interlink with specific relation terms e.g., In case of Movie - relation terms : actor, cinematographer, country, director, music_director, content_rating, story, etc. W3C Recommendations Traverse well-defined and popular terms e.g.) FOAF, DC, SIOC, and SKOS
9 Phase 3: Identifying Similarity & Clustering 9 Semantic similarity between RDF nodes is measured to decide whether to include a visited node into a cloud Basic Principles As the number of common terms becomes larger, the similarity increases As the number of hops from the spotting point becomes larger, the similarity decreases Similarity Formulas TermFreq(l 1, l 2 ) = n(l 1, l 2 ) / n(l 1 ) + n(l 1, l 2 ) / n(l 2 ) l 1 and l 2 : the labels of RDF nodes to compare n(l) : the number of query responses for l n(l 1, l 2 ) : the number of query responses for both l 1, l 2 SemSim(l 1, l 2 ) = TermFreq(l 1, l 2 ) / w h h : the number of hops to traverse w : a weight value
10 A Case Study (1/2) 10 To compare our approach with the traditional approaches of using rdf:type and SKOS relationships Data Preparation RDF triples from Sindice Search API for keyword apple ( Separation of terms despite there is semantic relevance e.g.) Apple Inc. separates from Apple I, Apple IIGS Terms that contain keyword only Balance of contents is not satisfactory (a cloud with only one term) Additional relevant terms that don t contain keyword (Itunes, Macintosh in the pink cloud) Each cloud is more richer than other results (a) rdf:type (b) SKOS parsing (c) Proposed Approach
11 A Case Study (2/2) 11 Implementation in the Web-based IPTV Environment Semantic Cloud Selected Linked Data 4 Annotation Timing Keyword (User input) 2 Cloud Generation Cloud Generation 3 5 Start Button 1
12 12 Finding Spotting Points in Linked Data Manipulating Linked Data in Dataset Level
13 Finding Spotting Points in Linked Data 13 How to Obtain RDF triples from Linked Data Using SPARQL Endpoints Also has problems Some datasets don t provide their endpoints (108 / 221 only) Slow response time (more than 90 seconds in some cases) Using BTC 2010 Data Provided by Falcon-S, Sindice, Swoogle, SWSE, and Watson using the MultiCrawler/SWSE framework!(btc 2010 Linked Data datasets) Didn t work! Using a Collection of Datasets Provide access to a set of copies of datasets via SPARQL endpoint Example For Each Dataset Subject Predicate Object Context Subject Predicate Object Context Duplicate quadruples deletion Namespace-based table classification
14 14 Finding Spotting Points in Linked Data Which one covers the concepts for keyword most? (Coverage) Keyword Apple Domain: 2/9 (22%) Dataset: 7/20 (35%) Triples: 23,747/144,549 (16.4%) Domain: 6/9 (67%) Dataset: 10/20 (50%) Triples: 24,690/144,549 (17.1%) Domain: 3/9 (33%) Dataset: 4/20 (20%) Triples: 25,830/144,549 (17.9%) Domain: 7/9 (78%) Dataset: 11/20 (55%) Triples: 25,015/144,549 (17.3%)
15 Finding Spotting Points in Linked Data 15 Examples of Ambiguous Tag from Del.icio.us Tags apple tiger opera Categories mac, apple, computers, osx, technology, IT food, health, apple, nutrition, fruit, green Photos, nature, animal, tiger, cute, animals Sports, video, tiger, woods, golf, games music, art, opera, culture, design, download software, browser, opera, web, tools, internet Experimental Results (a) Domain (b) Dataset (c) Triple
16 Summary 16 Define the requirements for well-organized semantic clouds Small number of clouds Balance of contents in the cloud No ambiguity among clouds Propose a Semantic Cloud Generation Framework based on Linked Data Locating spotting points Selecting relations to traverse Identifying Similarity & Clustering Show that the proposed approach provides high quality of clouds via a case study
17 Conclusion 17 Contributions Efficient handling of large-scale Semantic Web data (Linked Data) Generating semantic clouds that enable users to Specify semantics by using simply keywords Intuitively recognize semantic options Easily resolve semantic ambiguity Future Works Empirical studies to decide followings Optimal number of spotting point Maximum number of hops to traverse Threshold value to decide whether a RDF is merged in the same cloud Quantitative evaluation in terms of improved accuracy Discussion about graph traverse performance Measure the usability of the proposed approach June 20, 2011
18 References 18 [1] Christian B., Tom H., Berners-Lee T.: Linked Data The Story So Far. International Journal on Semantic Web and Information Systems, vol. 5, issue 3, 1-22 (2009) [2] Bayerl P.S., Lungen H., Gut U., Paul K.I.: Methodology for reliable schema development and evaluation of manual annotations. Knowledge Markup and Semantic Annotation at the International Conference on Knowledge Capture 2003 (2003) [3] Vehvilaiinen A., Hyvonen E., Alm O.: A Semi-Automatic Semantic Annotation and Authoring Tool for a Library Help Desk Service. In Proceedings of the 1st Semantic Authoring and Annotation Conference 2006 (2006) [4] Kiryakov A., Popov B., Ognyanoff Dl., Manov D., Kirilov A., Goranov M.: Semantic Annotation, Indexing, and Retrieval. In ELSEVIER Journal of Web Semantics 2004 (2004) [5] Reeve L., Han H.: Survey of Semantic Annotation Platforms. In ACM Symposium on Applied Computing (2005) [6] Uren V., Cimiano P., Iria J., Handschuh S., Vargas-Vera M., Motta E., Ciravegna F.: Semantic annotation for knowledge management: Requirements and a survey of the state of the art. In ELSEVIER Journal of Web Semantics (2005) [7] In-Young Ko, Sang-Ho Choi, Han-Gyu Ko.: A Blog-centered IPTV Environment for Enhancing Contents Provision, Consumption, and Evolution. In Proceedings of the 10th International Conference on Web Engineering 2010 LNCS, vol. 6189, (2010) [8] Lord F.M.: Optimal Number of Choices per Item A Comparison of Four Approaches. In Journal of Educational Measurement, vol. 14, no. 1, (1977) [9] Ding L., Finin T., Joshi A., Pank R., Cost S.R., Peng Y., Reddivari P., Doshi V., Sachs J.: Swoogle: a search and metadata eigine for the semantic web. In Proceedings of the CIMK 2004 (2004) [10] Lord F.M.: Optimal Number of Choices per Item A Comparison of Four Approaches. In Journal of Educational Measurement, vol. 14, no. 1, (1977) [11] Tummarello, G., Delbru, R., Oren, E.: Sindice.com: Weaving the Open Linked Data. In Proceedings of the 6th International Semantic Web and 2nd Asian Conference on Asian Semantic Web Conference. LNCS, vol. 4825, (2007) [12] Delbru R., Rakhmawati N.A., Tummarello G.: Sindice at SemSearch In Proceedings of the 19th International World Wide Web Conference, Raleigh, North Carolina, USA, April (2010) [13] W3C SWEO Community Project Linking Open Data [14] Linking Open Data Statistics [15] Faviki [16] Roberto M., Azzurra R., Tommaso D. N., Eugenio D.: Semantic tag cloud generation via Dbpedia, In Proceedings of the 11 th International Conference, EC-Web 2010, Bilbao, Spain, September (2010) August
19 19 Questions?
Generation of Semantic Clouds Based on Linked Data for Efficient Multimedia Semantic Annotation
Generation of Semantic Clouds Based on Linked Data for Efficient Multimedia Semantic Annotation Han-Gyu Ko and In-Young Ko Department of Computer Science, Korea Advanced Institute of Science and Technology,
More informationSWSE: Objects before documents!
Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Title SWSE: Objects before documents! Author(s) Harth, Andreas; Hogan,
More informationLODatio: A Schema-Based Retrieval System forlinkedopendataatweb-scale
LODatio: A Schema-Based Retrieval System forlinkedopendataatweb-scale Thomas Gottron 1, Ansgar Scherp 2,1, Bastian Krayer 1, and Arne Peters 1 1 Institute for Web Science and Technologies, University of
More informationGoNTogle: A Tool for Semantic Annotation and Search
GoNTogle: A Tool for Semantic Annotation and Search Giorgos Giannopoulos 1,2, Nikos Bikakis 1,2, Theodore Dalamagas 2, and Timos Sellis 1,2 1 KDBSL Lab, School of ECE, Nat. Tech. Univ. of Athens, Greece
More informationA service based on Linked Data to classify Web resources using a Knowledge Organisation System
A service based on Linked Data to classify Web resources using a Knowledge Organisation System A proof of concept in the Open Educational Resources domain Abstract One of the reasons why Web resources
More informationLinked Data. Department of Software Enginnering Faculty of Information Technology Czech Technical University in Prague Ivo Lašek, 2011
Linked Data Department of Software Enginnering Faculty of Information Technology Czech Technical University in Prague Ivo Lašek, 2011 Semantic Web, MI-SWE, 11/2011, Lecture 9 Evropský sociální fond Praha
More informationW3C Workshop on the Future of Social Networking, January 2009, Barcelona
1 of 6 06/01/2010 20:19 W3C Workshop on the Future of Social Networking, 15-16 January 2009, Barcelona John G. Breslin 1,2, Uldis Bojārs 1, Alexandre Passant, Sergio Fernández 3, Stefan Decker 1 1 Digital
More informationExploring and Using the Semantic Web
Exploring and Using the Semantic Web Mathieu d Aquin KMi, The Open University m.daquin@open.ac.uk What?? Exploring the Semantic Web Vocabularies Ontologies Linked Data RDF documents Example: Exploring
More informationORES-2010 Ontology Repositories and Editors for the Semantic Web
Vol-596 urn:nbn:de:0074-596-3 Copyright 2010 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its
More informationLinked Data Evolving the Web into a Global Data Space
Linked Data Evolving the Web into a Global Data Space Anja Jentzsch, Freie Universität Berlin 05 October 2011 EuropeanaTech 2011, Vienna 1 Architecture of the classic Web Single global document space Web
More informationGoNTogle: A Tool for Semantic Annotation and Search
GoNTogle: A Tool for Semantic Annotation and Search Giorgos Giannopoulos 1,2, Nikos Bikakis 1, Theodore Dalamagas 2 and Timos Sellis 1,2 1 KDBS Lab, School of ECE, NTU Athens, Greece. {giann@dblab.ntua.gr,
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 informationEfficient approximate SPARQL querying of Web of Linked Data
Efficient approximate SPARQL querying of Web of Linked Data B.R.Kuldeep Reddy and P.Sreenivasa Kumar Indian Institute of Technology Madras, Chennai, India {brkreddy,psk}@cse.iitm.ac.in Abstract. The web
More informationWho s Who A Linked Data Visualisation Tool for Mobile Environments
Who s Who A Linked Data Visualisation Tool for Mobile Environments A. Elizabeth Cano 1,, Aba-Sah Dadzie 1, and Melanie Hartmann 2 1 OAK Group, Dept. of Computer Science, The University of Sheffield, UK
More informationCreating Large-scale Training and Test Corpora for Extracting Structured Data from the Web
Creating Large-scale Training and Test Corpora for Extracting Structured Data from the Web Robert Meusel and Heiko Paulheim University of Mannheim, Germany Data and Web Science Group {robert,heiko}@informatik.uni-mannheim.de
More informationMapping 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 informationDBpedia Extracting structured data from Wikipedia
DBpedia Extracting structured data from Wikipedia Anja Jentzsch, Freie Universität Berlin Köln. 24. November 2009 DBpedia DBpedia is a community effort to extract structured information from Wikipedia
More informationOn Measuring the Lattice of Commonalities Among Several Linked Datasets
On Measuring the Lattice of Commonalities Among Several Linked Datasets Michalis Mountantonakis and Yannis Tzitzikas FORTH-ICS Information Systems Laboratory University of Crete Computer Science Department
More informationAccessing information about Linked Data vocabularies with vocab.cc
Accessing information about Linked Data vocabularies with vocab.cc Steffen Stadtmüller 1, Andreas Harth 1, and Marko Grobelnik 2 1 Institute AIFB, Karlsruhe Institute of Technology (KIT), Germany {steffen.stadtmueller,andreas.harth}@kit.edu
More informationWill Linked Data Benefit from Inverse Link Traversal?
Will Linked Data Benefit from Inverse Link Traversal? Position Paper Stefan Scheglmann University of Koblenz-Landau, Germany Institute for Web Science and Techologies schegi@uni-koblenz.de Ansgar Scherp
More informationTHE GETTY VOCABULARIES TECHNICAL UPDATE
AAT TGN ULAN CONA THE GETTY VOCABULARIES TECHNICAL UPDATE International Working Group Meetings January 7-10, 2013 Joan Cobb Gregg Garcia Information Technology Services J. Paul Getty Trust International
More informationRole of Social Media and Semantic WEB in Libraries
Role of Social Media and Semantic WEB in Libraries By Dr. Anwar us Saeed Email: anwarussaeed@yahoo.com Layout Plan Where Library streams merge the WEB Recent Evolution of the WEB Social WEB Semantic WEB
More informationAvailable online at ScienceDirect. Procedia Computer Science 52 (2015 )
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 52 (2015 ) 1071 1076 The 5 th International Symposium on Frontiers in Ambient and Mobile Systems (FAMS-2015) Health, Food
More informationDBpedia-An Advancement Towards Content Extraction From Wikipedia
DBpedia-An Advancement Towards Content Extraction From Wikipedia Neha Jain Government Degree College R.S Pura, Jammu, J&K Abstract: DBpedia is the research product of the efforts made towards extracting
More informationSemantiska webben DFS/Gbg
1 Semantiska webben 2010 DFS/Gbg 100112 Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) With thanks to Ivan for many slides 2 Trends and forces: Technology Internet
More informationSRI International, Artificial Intelligence Center Menlo Park, USA, 24 July 2009
SRI International, Artificial Intelligence Center Menlo Park, USA, 24 July 2009 The Emerging Web of Linked Data Chris Bizer, Freie Universität Berlin Outline 1. From a Web of Documents to a Web of Data
More informationThe Emerging Web of Linked Data
4th Berlin Semantic Web Meetup 26. February 2010 The Emerging Web of Linked Data Prof. Dr. Christian Bizer Freie Universität Berlin Outline 1. From a Web of Documents to a Web of Data Web APIs and Linked
More informationSPARQL Protocol And RDF Query Language
SPARQL Protocol And RDF Query Language WS 2011/12: XML Technologies John Julian Carstens Department of Computer Science Communication Systems Group Christian-Albrechts-Universität zu Kiel March 1, 2012
More informationSemantic Web Company. PoolParty - Server. PoolParty - Technical White Paper.
Semantic Web Company PoolParty - Server PoolParty - Technical White Paper http://www.poolparty.biz Table of Contents Introduction... 3 PoolParty Technical Overview... 3 PoolParty Components Overview...
More informationWATSON: SUPPORTING NEXT GENERATION SEMANTIC WEB APPLICATIONS 1
WATSON: SUPPORTING NEXT GENERATION SEMANTIC WEB APPLICATIONS 1 Mathieu d Aquin, Claudio Baldassarre, Laurian Gridinoc, Marta Sabou, Sofia Angeletou, Enrico Motta Knowledge Media Institute, the Open University
More informationSemantic Web Fundamentals
Semantic Web Fundamentals Web Technologies (706.704) 3SSt VU WS 2017/18 Vedran Sabol with acknowledgements to P. Höfler, V. Pammer, W. Kienreich ISDS, TU Graz December 11 th 2017 Overview What is Semantic
More informationA Storage, Retrieval, and Application Platform for Ultra-Large-Scale Linked Data
A Storage, Retrieval, and Application Platform for Ultra-Large-Scale Linked Data Yongju Lee School of Computer Science and Engineering Kyungpook National University, Daegu, Korea Jeonghong Kim School of
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 informationDetection of Related Semantic Datasets Based on Frequent Subgraph Mining
Detection of Related Semantic Datasets Based on Frequent Subgraph Mining Mikel Emaldi 1, Oscar Corcho 2, and Diego López-de-Ipiña 1 1 Deusto Institute of Technology - DeustoTech, University of Deusto,
More informationThe Web of Linked Data
The Web of Linked Data A logical next evolution step Christian Bizer Freie Universität Berlin Barcelona. May 22, 2008 Overview 1. From a Web of Documents to a Web of Data Web APIs, Microformats, Linked
More informationA service based on Linked Data to classify Web resources using a Knowledge Organisation System
A service based on Linked Data to classify Web resources using a Knowledge Organisation System A implementation to classify Open Educational Resources Janneth Chicaiza, Nelson Piedra and Jorge López Universidad
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 informationUnderstanding Billions of Triples with Usage Summaries
Understanding Billions of Triples with Usage Summaries Shahan Khatchadourian and Mariano P. Consens University of Toronto shahan@cs.toronto.edu, consens@cs.toronto.edu Abstract. Linked Data is a way to
More informationWeaving SIOC into the Web of Linked Data
Weaving SIOC into the Web of Linked Data Uldis Bojārs uldis.bojars@deri.org Richard Cyganiak richard@cyganiak.de ABSTRACT Social media sites can act as a rich source of large amounts of data by letting
More informationThe role of vocabularies for estimating carbon footprint for food recipies using Linked Open Data
The role of vocabularies for estimating carbon footprint for food recipies using Linked Open Data Ahsan Morshed Intelligent Sensing and Systems Laboratory, CSIRO, Hobart, Australia {ahsan.morshed, ritaban.dutta}@csiro.au
More informationArchitecture and Applications
webinale 2010 31.05.2010 The Web of Linked Data Architecture and Applications Prof. Dr. Christian Bizer Freie Universität Berlin Outline 1. From a Web of Documents to a Web of Data Web APIs and Linked
More informationEnterprise Multimedia Integration and Search
Enterprise Multimedia Integration and Search José-Manuel López-Cobo 1 and Katharina Siorpaes 1,2 1 playence, Austria, 2 STI Innsbruck, University of Innsbruck, Austria {ozelin.lopez, katharina.siorpaes}@playence.com
More informationIJCSC Volume 5 Number 1 March-Sep 2014 pp ISSN
Movie Related Information Retrieval Using Ontology Based Semantic Search Tarjni Vyas, Hetali Tank, Kinjal Shah Nirma University, Ahmedabad tarjni.vyas@nirmauni.ac.in, tank92@gmail.com, shahkinjal92@gmail.com
More informationCollaborative 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 informationKnowledge Representation in Social Context. CS227 Spring 2011
7. Knowledge Representation in Social Context CS227 Spring 2011 Outline Vision for Social Machines From Web to Semantic Web Two Use Cases Summary The Beginning g of Social Machines Image credit: http://www.lifehack.org
More informationUsing Hash based Bucket Algorithm to Select Online Ontologies for Ontology Engineering through Reuse
Using Hash based Bucket Algorithm to Select Online Ontologies for Ontology Engineering through Reuse Nadia Imdadi Dept. of Computer Science Jamia Millia Islamia a Central University, New Delhi India Dr.
More informationLinked Data in the Clouds : a Sindice.com perspective
Linked Data in the Clouds : a Sindice.com perspective Giovanni Tummarello, FBK - DERI Copyright 2008. All rights reserved. Some definitions Linked Open Data: Official Definition The data that is available
More informationCreating and Publishing Metadata of Linked Data Providing Shoes for the Cobbler s Children
Creating and Publishing Metadata of Linked Data Providing Shoes for the Cobbler s Children Matias Frosterus and Eero Hyvönen Semantic Computing Research Group (SeCo) Aalto University and University of
More informationConstructing Virtual Documents for Keyword Based Concept Search in Web Ontology
Constructing Virtual Documents for Keyword Based Concept Search in Web Ontology Sapna Paliwal 1,Priya.M 2 1 School of Information Technology and Engineering, VIT University, Vellore-632014,TamilNadu, India
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 informationIntegrating Web 2.0 Data into Linked Open Data Cloud via Clustering
Integrating Web 2.0 Data into Linked Open Data Cloud via Clustering Eirini Giannakidou and Athena Vakali Aristotle University of Thessaloniki Department of Informatics, Greece {eirgiann,avakali}@csd.auth.gr
More informationIdentifying Relevant Sources for Data Linking using a Semantic Web Index
Identifying Relevant Sources for Data Linking using a Semantic Web Index Andriy Nikolov a.nikolov@open.ac.uk Knowledge Media Institute Open University Milton Keynes, UK Mathieu d Aquin m.daquin@open.ac.uk
More informationLinked Data Practices for the Geospatial Community
Linked Data Practices for the Geospatial Community Talk subtitle Presented at GEOSS Workshop on Climate Boulder Colorado, 23 September 2011 Stephan Zednik, zednis@rpi.edu RPI / Tetherless World Constellation
More informationA Tagging Approach to Ontology Mapping
A Tagging Approach to Ontology Mapping Colm Conroy 1, Declan O'Sullivan 1, Dave Lewis 1 1 Knowledge and Data Engineering Group, Trinity College Dublin {coconroy,declan.osullivan,dave.lewis}@cs.tcd.ie Abstract.
More informationSemantic 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 informationKeyword Search over RDF Graphs. Elisa Menendez
Elisa Menendez emenendez@inf.puc-rio.br Summary Motivation Keyword Search over RDF Process Challenges Example QUIOW System Next Steps Motivation Motivation Keyword search is an easy way to retrieve information
More informationBUILDING THE SEMANTIC WEB
BUILDING THE SEMANTIC WEB You might have come across the term Semantic Web Applications often, during talks about the future of Web apps. Check out what this is all about There are two aspects to the possible
More informationSemantic Integration with Apache Jena and Apache Stanbol
Semantic Integration with Apache Jena and Apache Stanbol All Things Open Raleigh, NC Oct. 22, 2014 Overview Theory (~10 mins) Application Examples (~10 mins) Technical Details (~25 mins) What do we mean
More informationSurvey of Semantic Annotation Platforms
Survey of Semantic Annotation Platforms Lawrence Reeve College of Information Science and Technology Drexel University Philadelphia, PA 19104 USA larry.reeve@drexel.edu Hyoil Han College of Information
More informationProLD: Propagate Linked Data
ProLD: Propagate Linked Data Peter Kalchgruber University of Vienna, Faculty of Computer Science, Liebiggasse 4/3-4, A-1010 Vienna peter.kalchgruber@univie.ac.at Abstract. Since the Web of Data consists
More informationTowards Semantic Data Mining
Towards Semantic Data Mining Haishan Liu Department of Computer and Information Science, University of Oregon, Eugene, OR, 97401, USA ahoyleo@cs.uoregon.edu Abstract. Incorporating domain knowledge is
More informationSindice Widgets: Lightweight embedding of Semantic Web capabilities into existing user applications.
Sindice Widgets: Lightweight embedding of Semantic Web capabilities into existing user applications. Adam Westerski, Aftab Iqbal, and Giovanni Tummarello Digital Enterprise Research Institute, NUI Galway,Ireland
More informationA General Approach to Query the Web of Data
A General Approach to Query the Web of Data Xin Liu 1 Department of Information Science and Engineering, University of Trento, Trento, Italy liu@disi.unitn.it Abstract. With the development of the Semantic
More informationAugust 2012 Daejeon, South Korea
Building a Web of Linked Entities (Part I: Overview) Pablo N. Mendes Free University of Berlin August 2012 Daejeon, South Korea Outline Part I A Web of Linked Entities Challenges Progress towards solutions
More informationSemSearch: Refining Semantic Search
SemSearch: Refining Semantic Search Victoria Uren, Yuangui Lei, and Enrico Motta Knowledge Media Institute, The Open University, Milton Keynes, MK7 6AA, UK {y.lei,e.motta,v.s.uren}@ open.ac.uk Abstract.
More informationUsing linked data to extract geo-knowledge
Using linked data to extract geo-knowledge Matheus Silva Mota 1, João Sávio Ceregatti Longo 1 Daniel Cintra Cugler 1, Claudia Bauzer Medeiros 1 1 Institute of Computing UNICAMP Campinas, SP Brazil {matheus,joaosavio}@lis.ic.unicamp.br,
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 informationInteracting with Linked Data Part I: General Introduction
Interacting with Linked Data Part I: General Introduction Agenda Part 0: Welcome Part I: General Introduction to Semantic Technologies Part II: Advanced Concepts Part III: OWLIM Part IV: Information Workbench-
More informationHierarchical Link Analysis for Ranking Web Data
Hierarchical Link Analysis for Ranking Web Data Renaud Delbru, Nickolai Toupikov, Michele Catasta, Giovanni Tummarello, and Stefan Decker Digital Enterprise Research Institute, Galway June 1, 2010 Introduction
More informationOntology-based Multimedia Contents Retrieval Framework in Smart TV Environment
1 Ontology-based Multimedia Contents Retrieval Framework in Smart TV Environment Moohun LEE*, Joonmyun CHO*, Jeongju Yoo*, Jinwoo Hong* *Next Generation SmartTV Research Department, ETRI (Electronics and
More informationInformation 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 informationProf. Dr. Christian Bizer
STI Summit July 6 th, 2011, Riga, Latvia Global Data Integration and Global Data Mining Prof. Dr. Christian Bizer Freie Universität ität Berlin Germany Outline 1. Topology of the Web of Data What data
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 informationA Semantic Web-Based Approach for Harvesting Multilingual Textual. definitions from Wikipedia to support ICD-11 revision
A Semantic Web-Based Approach for Harvesting Multilingual Textual Definitions from Wikipedia to Support ICD-11 Revision Guoqian Jiang 1,* Harold R. Solbrig 1 and Christopher G. Chute 1 1 Department of
More informationSindice.com: Weaving the open linked data. Tummarello, Giovanni; Delbru, Renaud; Oren, Eyal
Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Title Sindice.com: Weaving the open linked data Author(s) Tummarello, Giovanni;
More informationSemantic Annotation and Linking of Medical Educational Resources
5 th European IFMBE MBEC, Budapest, September 14-18, 2011 Semantic Annotation and Linking of Medical Educational Resources N. Dovrolis 1, T. Stefanut 2, S. Dietze 3, H.Q. Yu 3, C. Valentine 3 & E. Kaldoudi
More informationA Study of Future Internet Applications based on Semantic Web Technology Configuration Model
Indian Journal of Science and Technology, Vol 8(20), DOI:10.17485/ijst/2015/v8i20/79311, August 2015 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 A Study of Future Internet Applications based on
More informationThe Emerging Web of Linked Data
The Emerging Web of Linked Data Christian Bizer, Freie Universität Berlin The classic World Wide Web is built upon the idea to set hyperlinks between Web documents. Hyperlinks are the basis for navigating
More informationLinking Distributed Data across the Web
Linking Distributed Data across the Web Dr Tom Heath Researcher, Platform Division Talis Information Ltd tom.heath@talis.com http://tomheath.com/ Overview Background From a Web of Documents to a Web of
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 informationOntoBlog: Informal Knowledge Management by Semantic Blogging
1 OntoBlog: Informal Knowledge Management by Semantic Blogging Aman Shakya, Vilas Wuwongse, Hideaki Takeda and Ikki Ohmukai Abstract Blogs collect abundant information by providing easy and dynamic publishing
More informationIMPROVING EFFICIENCY OF ONTOLOGY MAPPING IN SEMANTIC WEB USING CUT ARC ALGORITHM
International Journal of Scientific & Engineering Research Volume 4, Issue 1, January-2013 1 IMPROVING EFFICIENCY OF ONTOLOGY MAPPING IN SEMANTIC WEB USING CUT ARC ALGORITHM S.Raja Ranganathan 1 Dr.M.Marikkannan
More informationStudy of Design Issues on an Automated Semantic Annotation System
Abstract Study of Design Issues on an Automated Semantic Annotation System Yihong Ding Departments of Computer Science Brigham Young University ding@cs.byu.edu Reference to this article should be made
More informationCOMP6217 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 informationITARC Stockholm Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS)
2 ITARC 2010 Stockholm 100420 Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) 3 Contents Trends in information / data Critical factors... growing importance Needs
More informationITARC Stockholm Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS)
2 ITARC 2010 Stockholm 100420 Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) 3 Contents Trends in information / data Critical factors... growing importance Needs
More information4) DAVE CLARKE. OASIS: Constructing knowledgebases around high resolution images using ontologies and Linked Data
require a change in development culture and thus training. 5. Impact and Benefits The project was delivered on time and on budget unusual for a project of this scale and the project was hailed as a great
More informationA SURVEY OF DIFFERENT SEMANTIC AND ONTOLOGY BASED QUESTION ANSWERING SYSTEM
A SURVEY OF DIFFERENT SEMANTIC AND ONTOLOGY BASED QUESTION ANSWERING SYSTEM 1 SHIKHA DONGRE, 2 SWATI SINGH LODHI 1,2 Computer Science and Engineering, Sanghvi Innovative Academy, Indore, India E-mail:
More informationEFFICIENT INTEGRATION OF SEMANTIC TECHNOLOGIES FOR PROFESSIONAL IMAGE ANNOTATION AND SEARCH
EFFICIENT INTEGRATION OF SEMANTIC TECHNOLOGIES FOR PROFESSIONAL IMAGE ANNOTATION AND SEARCH Andreas Walter FZI Forschungszentrum Informatik, Haid-und-Neu-Straße 10-14, 76131 Karlsruhe, Germany, awalter@fzi.de
More informationOWLIM Reasoning over FactForge
OWLIM Reasoning over FactForge Barry Bishop, Atanas Kiryakov, Zdravko Tashev, Mariana Damova, Kiril Simov Ontotext AD, 135 Tsarigradsko Chaussee, Sofia 1784, Bulgaria Abstract. In this paper we present
More informationDomain 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 informationRelevant Pages in semantic Web Search Engines using Ontology
International Journal of Electronics and Computer Science Engineering 578 Available Online at www.ijecse.org ISSN: 2277-1956 Relevant Pages in semantic Web Search Engines using Ontology Jemimah Simon 1,
More informationA Study on Metadata Extraction, Retrieval and 3D Visualization Technologies for Multimedia Data and Its Application to e-learning
A Study on Metadata Extraction, Retrieval and 3D Visualization Technologies for Multimedia Data and Its Application to e-learning Naofumi YOSHIDA In this paper we discuss on multimedia database technologies
More informationA Community-Driven Approach to Development of an Ontology-Based Application Management Framework
A Community-Driven Approach to Development of an Ontology-Based Application Management Framework Marut Buranarach, Ye Myat Thein, and Thepchai Supnithi Language and Semantic Technology Laboratory National
More informationSemantic Web. Tahani Aljehani
Semantic Web Tahani Aljehani Motivation: Example 1 You are interested in SOAP Web architecture Use your favorite search engine to find the articles about SOAP Keywords-based search You'll get lots of information,
More informationPayola: Collaborative Linked Data Analysis and Visualization Framework
Payola: Collaborative Linked Data Analysis and Visualization Framework Jakub Klímek 1,2,Jiří Helmich 1, and Martin Nečaský 1 1 Charles University in Prague, Faculty of Mathematics and Physics Malostranské
More informationSemantic Web and Linked Data
Semantic Web and Linked Data Petr Křemen December 2012 Contents Semantic Web Technologies Overview Linked Data Semantic Web Technologies Overview Semantic Web Technology Stack from Wikipedia. http://wikipedia.org/wiki/semantic_web,
More informationUtilizing, creating and publishing Linked Open Data with the Thesaurus Management Tool PoolParty
Utilizing, creating and publishing Linked Open Data with the Thesaurus Management Tool PoolParty Thomas Schandl, Andreas Blumauer punkt. NetServices GmbH, Lerchenfelder Gürtel 43, 1160 Vienna, Austria
More informationCHAPTER 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 informationRe-using Cool URIs: Entity Reconciliation Against LOD Hubs
Re-using Cool URIs: Entity Reconciliation Against LOD Hubs Fadi Maali, Richard Cyganiak, Vassilios Peristeras LDOW 2011 Copyright 2009. All rights reserved. The Web of Data The Web of Data The Web of Data
More information