Linked Open Vocabulary Recommendation Based on Ranking and Linked Open Data | SpringerLink
Skip to main content
Springer Nature Link
Log in

Linked Open Vocabulary Recommendation Based on Ranking and Linked Open Data

  • Conference paper
  • First Online:
Semantic Technology (JIST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9544))

Included in the following conference series:

Abstract

The vocabulary space of the Semantic Web includes more than 500 vocabularies according to the Linked Open Vocabularies (LOV) initiative that maintains the directory list and provides search functionality on top of the curated data. Domain experts and researchers have populated it to facilitate the interpretation and exchange of information in the Web of Data. The abundance of vocabularies and terms available in the LOV space, on one hand aims to cover the major knowledge management needs, but on the other hand it could be cumbersome for a non-expert or even a vocabulary expert to find the correct way through the collection. To address this problem, we present an approach that helps to identify the most appropriate set of LOV vocabulary terms for a given Web content context by leveraging the existing dynamics within the LOV graph and the usage patterns in the LOD cloud. The paper describes the framework architecture that enables the discovery of vocabularies; it focuses on the corresponding metrics and algorithm, and discusses the outcomes of the applied experiments.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    http://www.webdatacommons.org/structureddata/.

  2. 2.

    E.g. the schema.org profile is available under the URL: http://lov.okfn.org/dataset/lov/vocabs/schema.

  3. 3.

    http://swoogle.umbc.edu/.

  4. 4.

    http://lov.okfn.org/dataset/lov/sparql.

  5. 5.

    By notifying the server that the client accepts content in the application/rdf+xml format.

  6. 6.

    http://allrecipes.com/Recipe/Veggie-Pizza.

  7. 7.

    http://www.alchemyapi.com/.

References

  1. Atemezing, G.A., Troncy, R.: Information content based ranking metric for linked open vocabularies. In: Proceedings of the 10th International Conference on Semantic Systems, pp. 53–56. ACM (2014)

    Google Scholar 

  2. Auer, S., Demter, J., Martin, M., Lehmann, J.: LODstats – an extensible framework for high-performance dataset analytics. In: ten Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS, vol. 7603, pp. 353–362. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Bizer, C., Eckert, K., Meusel, R., Mühleisen, H., Schuhmacher, M., Völker, J.: Deployment of RDFa, microdata, and microformats on the web – a quantitative analysis. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 17–32. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  4. Butt, A.S.: Ontology search: finding the right ontologies on the web. In: Proceedings of the 24th International Conference on World Wide Web Companion, pp. 487–491. International World Wide Web Conferences Steering Committee (2015)

    Google Scholar 

  5. Sahar Butt, A., Haller, A., Xie, L.: Relationship-based top-k concept retrieval for ontology search. In: Janowicz, K., Schlobach, S., Lambrix, P., Hyvönen, E. (eds.) EKAW 2014. LNCS, vol. 8876, pp. 485–502. Springer, Heidelberg (2014)

    Google Scholar 

  6. Guha, R.: Introducing schema.org: search engines come together for a richer web (2011). http://insidesearch.blogspot.com/2011/06/introducing-schemaorg-search-engines.html

  7. Heath, T., Bizer, C.: Linked data: evolving the web into a global data space. Synth. Lect. Semant. Web: Theory Technol. 1(1), 1–136 (2011)

    Google Scholar 

  8. Hogan, A., Harth, A., Passant, A., Decker, S., Polleres, A.: Weaving the Pedantic Web (2010)

    Google Scholar 

  9. Käfer, T., Harth, A.: Billion Triples Challenge data set (2014). Downloaded from http://km.aifb.kit.edu/projects/btc-2014/

  10. Meusel, R., Paulheim, H.: Heuristics for fixing common errors in deployed schema.org microdata. In: Gandon, F., Sabou, M., Sack, H., d’Amato, C., Cudré-Mauroux, P., Zimmermann, A. (eds.) ESWC 2015. LNCS, vol. 9088, pp. 152–168. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  11. Meusel, R., Petrovski, P., Bizer, C.: The WebDataCommons microdata, RDFa and microformat dataset series. In: Mika, P., Tudorache, T., Bernstein, A., Welty, C., Knoblock, C., Vrandečić, D., Groth, P., Noy, N., Janowicz, K., Goble, C. (eds.) ISWC 2014, Part I. LNCS, vol. 8796, pp. 277–292. Springer, Heidelberg (2014)

    Google Scholar 

  12. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: bringing order to the web. Technical report 1999–66, Stanford InfoLab, November 1999

    Google Scholar 

  13. Schaible, J., Gottron, T., Scheglmann, S., Scherp, A.: Lover: support for modeling data using linked open vocabularies. In: Proceedings of the Joint EDBT/ICDT Workshops, pp. 89–92. ACM (2013)

    Google Scholar 

  14. Schaible, J., Gottron, T., Scherp, A.: Survey on common strategies of vocabulary reuse in linked open data modeling. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 457–472. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  15. Stadtmüller, S., Harth, A., Grobelnik, M.: Accessing information about linked data vocabularies with vocab. cc. In: Li, J., Qi, G., Zhao, D., Nejdl, W., Zheng, H.-T. (eds.) Semantic Web and Web Science, pp. 391–396. Springer, New York (2013)

    Chapter  Google Scholar 

  16. Stavrakantonakis, I., Fensel, A., Fensel, D.: Matching web entities with potential actions. In: SEMANTICS (2014)

    Google Scholar 

  17. Stavrakantonakis, I., Toma, I., Fensel, A., Fensel, D.: Hotel websites, web 2.0, web 3.0 and online direct marketing: the case of Austria. In: Xiang, Z., Tussyadiah, L. (eds.) Information and Communication Technologies in Tourism, pp. 665–677. Springer, Switzerland (2014)

    Google Scholar 

  18. Vandenbussche, P.-Y., Vatant, B.: Linked open vocabularies. ERCIM News 96, 21–22 (2014)

    Google Scholar 

Download references

Acknowledgments

This work has been partially supported by the EU projects BYTE, ENTROPY, EUTravel, FWF project OntoHealth, as well as FFG projects OpenFridge and TourPack.

Author information

Authors and Affiliations

  1. University of Innsbruck, STI Innsbruck, Technikerstr. 21a, 6020, Innsbruck, Austria

    Ioannis Stavrakantonakis, Anna Fensel & Dieter Fensel

Authors
  1. Ioannis Stavrakantonakis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anna Fensel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dieter Fensel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ioannis Stavrakantonakis .

Editor information

Editors and Affiliations

  1. Southeast University, Nanjing, China

    Guilin Qi

  2. Osaka University, Ibaraki, Japan

    Kouji Kozaki

  3. The University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

  4. Zhongnan Hospital of Wuhan University, Wuhan, China

    Siwei Yu

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Stavrakantonakis, I., Fensel, A., Fensel, D. (2016). Linked Open Vocabulary Recommendation Based on Ranking and Linked Open Data. In: Qi, G., Kozaki, K., Pan, J., Yu, S. (eds) Semantic Technology. JIST 2015. Lecture Notes in Computer Science(), vol 9544. Springer, Cham. https://doi.org/10.1007/978-3-319-31676-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31676-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31675-8

  • Online ISBN: 978-3-319-31676-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation