Article

Media Meets Semantic Web --- How the BBC Uses DBpedia and Linked Data to Make Connections

Authors:

Georgi Kobilarov,

Chris Sizemore,

Michael Smethurst,

Christian Bizer,

Robert LeeAuthors Info & Claims

ESWC 2009 Heraklion: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications

Pages 723 - 737

https://doi.org/10.1007/978-3-642-02121-3_53

Published: 31 May 2009 Publication History

Abstract

In this paper, we describe how the BBC is working to integrate data and linking documents across BBC domains by using Semantic Web technology, in particular Linked Data, MusicBrainz and DBpedia. We cover the work of BBC Programmes and BBC Music building Linked Data sites for all music and programmes related brands, and we describe existing projects, ongoing development, and further research we are doing in a joint collaboration between the BBC, Freie Universität Berlin and Rattle Research in order to use DBpedia as the controlled vocabulary and semantic backbone for the whole BBC.

References

[1]

Auchard, E.: Flickr to map the world's latest photo hotspots. Reuters.com (2007).

[2]

Vander, T.: Folksonomy Coinage and Definition (2007), http://www.vanderwal.net/folksonomy.html

[3]

Euzenat, J., Shvaiko, P.: Ontology matching. Springer, Heidelberg (2007).

Digital Library

[4]

Wikipedia: Tag cloud. Wikipedia, The Free Encyclopedia (2009).

[5]

Suchanek, F.M., Vojnovic, M., Gunawardena, D.: Social tags: Meaning and Suggestions. In: ACM Conference on Information and Knowledge Management (CIKM 2008), pp. 223-232. ACM, Napa (2008).

Digital Library

[6]

Mathes, A.: Folksonomies-Cooperative Classification and Communication Through Shared Metadata. Computer Mediated Communication, LIS590CMC (2004).

[7]

Stuckenschmidt, H., Harmelen, F.V.: Information Sharing on the Semantic Web. Springer, Heidelberg (2005).

Digital Library

[8]

A1-Khalifa, S., Davis, C.: Measuring the Semantic Value of Folksonomies. Innovations in Information Technology (2006).

[9]

Mika, P.: Ontologies are us: A unified model of social networks and semantics. Web Semantics 5, 5-15 (2007).

Digital Library

[10]

Heymann, P., Garcia-Molina, H.: Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems. Stanford InfoLab Technical Report (2006).

[11]

Schmitz, C., Hotho, A., Jäschke, R., Stumme, G.: Mining Association Rules in Folksonomies. In: Proceedings of the 10th IFCS Conference, Studies in Classification, Data Analysis, and Knowledge Organization (2006).

[12]

Schwarzkopf, E., Heckmann, D., Dengler, D., Kroner, A.: Mining the Structure of Tag Spaces for User Modeling. In: Workshop on Data Mining for User Modeling (ICUM 2007) (2007).

[13]

Specia, L., Motta, E.: Integrating Folksonomies with the Semantic Web. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 624-639. Springer, Heidelberg (2007).

Digital Library

[14]

Damme, C.V., Hepp, M., Siorpaes, K.: FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies. In: Proc. of the ESWC Workshop Bridging the Gap between Semantic Web and Web (2007).

[15]

An, Y.J., Geller, J., Wu, Y.-T., Chun, S.A.: Automatic Generation of Ontology from the Deep Web. Database and Expert Systems IEEE 2007 (2007).

Digital Library

[16]

Laniado, D., Eynard, D., Colombetti, M.: Using WordNet to turn a folksonomy into a hierarchy of concepts. In: Proc. of 4th Italian Semantic Web Workshop, Italy (2007).

[17]

Schreiber, A.T.G., Dubbeldam, B., Wielemaker, J., Wielinga, B.: Ontology-Based Photo Annotation. IEEE Intelligent Systems (2001).

Digital Library

[18]

Schmitz, P.: Inducing Ontology from Flickr Tags. In: Proceedings of the Collaborative Web Tagging Workshop (WWW 2006), Edinburgh, UK (2006).

[19]

Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules between Sets of Items in Large Databases. In: Proceedings of the 1993 ACM SIGMOD international conference on Management of data (1993).

Digital Library

[20]

Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the 20th International Conference on Very Large Data Bases (1994).

Digital Library

[21]

Cohen, E., Datar, M., Fujiwara, S., Gionis, A., Indyk, P., Motwani, R., Ullman, J., Yang, C.: Finding interesting associations without support pruning. Transactions on Knowledge and Data Engineering 13, 64-78 (2001).

Digital Library

[22]

Spertus, E., Sahami, M., Buyukkokten, O.: Evaluating similarity measures: a large-scale study in the orkut social network. In: Proceedings of the 11th ACM SIGKDD intl. conference on Knowledge Discovery in Data mining, Chicago, USA (2005).

Digital Library

[23]

Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, Inc., New York (1986).

Digital Library

[24]

Giunchiglia, F., Shvaiko, P., Yatskevich, M.: S-Match: an Algorithm and an Implementation of Semantic Matching. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds.) ESWS 2004. LNCS, vol. 3053, pp. 61-75. Springer, Heidelberg (2004).

[25]

Wallace, M.: Jawbone (2007), http://mfwallace.googlepages.com/jawbone.html

[26]

Dellschaft, K., Staab, S.: Strategies for the evaluation of ontology learning. In: Buitelaar, P., Cimiano, P. (eds.) Ontology learning and population: Bridging the gap between text and knowledge. IOS Press, Amsterdam (2008).

Digital Library

Cited By

Gallofré Ocaña MOpdahl A(2023)A Software Reference Architecture for Journalistic Knowledge PlatformsKnowledge-Based Systems10.1016/j.knosys.2023.110750276:COnline publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1016/j.knosys.2023.110750
Blanco-Fernández YGil-Solla APazos-Arias JRamos-Cabrer MDaif ALópez-Nores M(2020)Distracting users as per their knowledgeExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.113051143:COnline publication date: 1-Apr-2020
https://dl.acm.org/doi/10.1016/j.eswa.2019.113051
Alpizar-Chacon ISosnovsky SAtzenbeck CRubart JMillard D(2019)Expanding the Web of KnowledgeProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3343671(9-18)Online publication date: 12-Sep-2019
https://dl.acm.org/doi/10.1145/3342220.3343671
Show More Cited By

Recommendations

Exploring the Geospatial Semantic Web with DBpedia Mobile

The Geospatial Semantic Web makes locations first-class citizens of the Web by representing them as original Web resources. This allows locations to be described in an open and distributed manner using the Resource Description Framework and provides for ...
Semantic Annotation for Web Services Based on DBpedia
SOSE '13: Proceedings of the 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering

The vast majority of Web services on the Internet lack explicit and sufficient semantic information. As a result, we cannot provide all the relevant services during service discovery, and have difficulty in service composition. In this paper, we propose ...
A domain independent framework for extracting linked semantic data from tables
Search Computing

Vast amounts of information is encoded in tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning and making it explicit in a semantic ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings

ESWC 2009 Heraklion: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications

May 2009

958 pages

ISBN:9783642021206

Editors:
Lora Aroyo
VU University Amsterdam, The Netherlands
,
Paolo Traverso
Fondazione Bruno Kessler (FBK) - IRST Center for Information Technology, Trento, Italy 38100
,
Fabio Ciravegna
University of Sheffield, United Kingdom
,
Philipp Cimiano
TU Delft, The Netherlands
,
Tom Heath
Talis Information Ltd., United Kingdom
,
Eero Hyvönen
Semantic Computing Research Group (SeCo), Helsinki University of Technology, and University of Helsinki,, Finland
,
Riichiro Mizoguchi
The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan 567-0047
,
Eyal Oren
VU University Amsterdam, The Netherlands
,
Marta Sabou
Knowledge Media Institute, The Open University, UK
,
Elena Simperl
STI Innsbruck, University of Innsbruck, Innsbruck, Austria 6020

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 31 May 2009

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

53
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 14 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Gallofré Ocaña MOpdahl A(2023)A Software Reference Architecture for Journalistic Knowledge PlatformsKnowledge-Based Systems10.1016/j.knosys.2023.110750276:COnline publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1016/j.knosys.2023.110750
Blanco-Fernández YGil-Solla APazos-Arias JRamos-Cabrer MDaif ALópez-Nores M(2020)Distracting users as per their knowledgeExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.113051143:COnline publication date: 1-Apr-2020
https://dl.acm.org/doi/10.1016/j.eswa.2019.113051
Alpizar-Chacon ISosnovsky SAtzenbeck CRubart JMillard D(2019)Expanding the Web of KnowledgeProceedings of the 30th ACM Conference on Hypertext and Social Media10.1145/3342220.3343671(9-18)Online publication date: 12-Sep-2019
https://dl.acm.org/doi/10.1145/3342220.3343671
Färber MBartscherer FMenne CRettinger AZaveri AKontokostas DHellmann SUmbrich J(2018)Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGOSemantic Web10.3233/SW-1702759:1(77-129)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/SW-170275
Daga EGangemi AMotta Ed’Aquin MKirrane SVillata S(2018)Reasoning with data flows and policy propagation rulesSemantic Web10.3233/SW-1702669:2(163-183)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/SW-170266
Ledvinka MBlaško MKřemen P(2018)Factors of Efficient Semantic Web Application DevelopmentOn the Move to Meaningful Internet Systems. OTM 2018 Conferences10.1007/978-3-030-02671-4_35(565-572)Online publication date: 22-Oct-2018
https://dl.acm.org/doi/10.1007/978-3-030-02671-4_35
Husevåg ANordlie RPharo NFreund LLarsen BRussel D(2017)Exploring the Role of Named Entities in Automatic IndexingProceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval10.1145/3020165.3022166(393-394)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3020165.3022166
Lopes GVidal VOliveira Mde Jesus Lima Gomes Fde Andrade Lira Rabelo Rde Salles Soares Neto CWillrich RCamillo Teixeira Cde Almeida Jde Carvalho W(2016)A Framework for Creation of Linked Data MashupsProceedings of the 22nd Brazilian Symposium on Multimedia and the Web10.1145/2976796.2988213(327-330)Online publication date: 8-Nov-2016
https://dl.acm.org/doi/10.1145/2976796.2988213
De Boer VOrdelman RSchuurman J(2016)Evaluating unsupervised thesaurus-based labeling of audiovisual content in an archive production environmentInternational Journal on Digital Libraries10.1007/s00799-016-0182-617:3(189-201)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s00799-016-0182-6
Baratè AHaus GLudovico LKalliris GDimoulas C(2015)Multilayer Formats and the Semantic WebProceedings of the Audio Mostly 2015 on Interaction With Sound10.1145/2814895.2814910(1-8)Online publication date: 7-Oct-2015
https://dl.acm.org/doi/10.1145/2814895.2814910
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents