Skip to main content

Relationship-Based Top-K Concept Retrieval for Ontology Search

  • Conference paper
Knowledge Engineering and Knowledge Management (EKAW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8876))

Abstract

With the recent growth of Linked Data on the Web there is an increased need for knowledge engineers to find ontologies to describe their data. Only limited work exists that addresses the problem of searching and ranking ontologies based on a given query term. In this paper we introduce DWRank, a two-staged bi-directional graph walk ranking algorithm for concepts in ontologies. We apply this algorithm on the task of searching and ranking concepts in ontologies and compare it with state-of-the-art ontology ranking models and traditional information retrieval algorithms such as PageRank and tf-idf. Our evaluation shows that DWRank significantly outperforms the best ranking models on a benchmark ontology collection for the majority of the sample queries defined in the benchmark.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alani, H., Brewster, C., Shadbolt, N.: Ranking Ontologies with AKTiveRank. In: Proceedings of the International Semantic Web Conference (ISWC), pp. 5–9 (2006)

    Google Scholar 

  2. Butt, A.S., Haller, A., Xie, L.: Ontology search: An empirical evaluation. In: Proceedings of the International Semantic Web Conference, Riva del Gara, Italy, pp. 130–147 (2014)

    Google Scholar 

  3. Cheng, G., Ge, W., Qu, Y.: Falcons: searching and browsing entities on the semantic web. In: Proceedings of the 17th International Conference on World Wide Web, pp. 1101–1102. ACM (2008)

    Google Scholar 

  4. d’Aquin, M., Lewen, H.: Cupboard — A Place to Expose Your Ontologies to Applications and the Community. In: Proceedings of the 6th European Semantic Web Conference, Berlin, Heidelberg, pp. 913–918 (2009)

    Google Scholar 

  5. d’Aquin, M., Motta, E.: Watson, More Than a Semantic Web Search Engine. Semantic Web 2(1), 55–63 (2011)

    Google Scholar 

  6. Ding, L., Finin, T., Joshi, A., Pan, R., Cost, R.S., Peng, Y., Reddivari, P., Doshi, V., Sachs, J.: Swoogle: A Search and Metadata Engine for the Semantic Web. In: Proceedings of the 13th ACM International Conference on Information and Knowledge Management, pp. 652–659. ACM, New York (2004)

    Google Scholar 

  7. Ding, L., Pan, R., Finin, T.W., Joshi, A., Peng, Y., Kolari, P.: Finding and ranking knowledge on the semantic web. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 156–170. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Fernandez, M., Lopez, V., Sabou, M., Uren, V., Vallet, D., Motta, E., Castells, P.: Semantic Search Meets the Web. In: Proceedings of the 2008 IEEE International Conference on Semantic Computing, Washington, DC, USA, pp. 253–260 (2008)

    Google Scholar 

  9. Fogaras, D.: Where to start browsing the web? In: Innovative Internet Community Systems, pp. 65–79 (2003)

    Google Scholar 

  10. Harth, A., Umbrich, J., Hogan, A., Decker, S.: YARS2: A Federated Repository for Querying Graph Structured Data from the Web. In: Aberer, K., et al. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 211–224. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Hogan, A., Harth, A., Decker, S.: Reconrank: A scalable ranking method for semantic web data with context. In: Proceedings of the 2nd Workshop on Scalable Semantic Web Knowledge Base Systems (2006)

    Google Scholar 

  12. Hogan, A., Harth, A., Umbrich, J., Kinsella, S., Polleres, A., Decker, S.: Searching and browsing Linked Data with SWSE: The Semantic Web Search Engine. Web Semantics: Science, Services and Agents on the World Wide Web 9(4), 365–401 (2011)

    Article  Google Scholar 

  13. Noy, N.F., d’Aquin, M.: Where to Publish and Find Ontologies? A Survey of Ontology Libraries. Web Semantics: Science, Services and Agents on the World Wide Web 11(0) (2012)

    Google Scholar 

  14. Noy, N.F., Shah, N.H., Whetzel, P.L., Dai, B., Dorf, M., Griffith, N., Jonquet, C., Rubin, D.L., Storey, M.-A., Chute, C.G., Musen, M.A.: BioPortal: ontologies and integrated data resources at the click of a mouse. Nucleic Acids Research (2009)

    Google Scholar 

  15. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the Web. In: Proceedings of the 7th International World Wide Web Conference, Brisbane, Australia, pp. 161–172 (1998)

    Google Scholar 

  16. Robertson, S.E., Walker, S., Jones, S., Hancock-Beaulieu, M.M., Gatford, M.: Okapi at trec-3. NIST SPECIAL PUBLICATION SP, 109–109 (1995)

    Google Scholar 

  17. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing & Management 24(5), 513–523 (1988)

    Article  Google Scholar 

  18. Salton, G., Wong, A., Yang, C.-S.: A vector space model for automatic indexing. Communications of the ACM 18(11), 613–620 (1975)

    Article  MATH  Google Scholar 

  19. Thomas, E., Pan, J.Z., Sleeman, D.: Ontosearch2: Searching ontologies semantically. In: Proceedings of the OWLED 2007 Workshop on OWL: Experiences and Directions. CEUR Workshop Proceedings, vol. 258 (2007)

    Google Scholar 

  20. Tummarello, G., Delbru, R., Oren, E.: Sindice.com: Weaving the Open Linked Data. In: Aberer, K., et al. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 552–565. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  21. Vandenbussche, P.-Y., Vatant, B.: Linked Open Vocabularies. ERCIM News 96, 21–22 (2014)

    Google Scholar 

  22. Wu, G., Li, J., Feng, L., Wang, K.-H.: Identifying potentially important concepts and relations in an ontology. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 33–49. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Sahar Butt, A., Haller, A., Xie, L. (2014). Relationship-Based Top-K Concept Retrieval for Ontology Search. In: Janowicz, K., Schlobach, S., Lambrix, P., Hyvönen, E. (eds) Knowledge Engineering and Knowledge Management. EKAW 2014. Lecture Notes in Computer Science(), vol 8876. Springer, Cham. https://doi.org/10.1007/978-3-319-13704-9_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13704-9_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13703-2

  • Online ISBN: 978-3-319-13704-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics