Skip to main content
SpringerLink
Log in
Book cover

European Conference on Information Retrieval

ECIR 2019: Advances in Information Retrieval pp 332–336Cite as

Keyword Search on RDF Datasets

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11438))

Abstract

In the last years, the Resource Description Framework (RDF) has gained popularity as the de-facto representation format for heterogeneous structured data on the Web. RDF datasets are interrogated via the SPARQL language, which is often not intuitive for a user since it requires the knowledge of the syntax, the underlying structure of the dataset and the IRIs. On the other hand, today users are accustomed to Web-based search facilities that propose simple keyword-based interfaces to interrogate data. Hence, in order to ease the access to the data to users, we aim to develop of an effective and efficient system for keyword search over RDF graphs. Furthermore, we propose a methodology to properly evaluate these systems. Finally, we aim to address the problem of the explainability of the information contained in the answers to non-expert users.

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

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 EPUB and 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

Learn about institutional subscriptions

Notes

  1. 1.

    https://datasets.imdbws.com/.

References

  1. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76298-0_52

    Chapter  Google Scholar 

  2. Bast, H., Buchhold, B., Haussmann, H.: Semantic search on text and knowledge bases. Found. Trends Inf. Retr. 10(2–3), 119–271 (2016)

    Article  Google Scholar 

  3. Bergamaschi, S., Ferro, N., Guerra, F., Silvello, G.: Keyword-based search over databases: a roadmap for a reference architecture paired with an evaluation framework. In: Nguyen, N.T., Kowalczyk, R., Rupino da Cunha, P. (eds.) Transactions on Computational Collective Intelligence XXI. LNCS, vol. 9630, pp. 1–20. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49521-6_1

    Chapter  Google Scholar 

  4. Coffman, J., Weaver, A.C.: A framework for evaluating database keyword search strategies. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 729–738. ACM Press (2010)

    Google Scholar 

  5. Coffman, J., Weaver, A.C.: An empirical performance evaluation of relational keyword search systems. IEEE Trans. Knowl. Data Eng. 26(1), 30–42 (2014)

    Article  Google Scholar 

  6. Doan, A., Ramakrishnan, R., Vaithyanathan, S.: Managing information extraction: state of the art and research directions. In: Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data, pp. 799–800. ACM (2006)

    Google Scholar 

  7. Elbassuoni, S., Blanco, R.: Keyword search over RDF graphs. In: Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, pp. 237–242. ACM Press, New York (2011)

    Google Scholar 

  8. Feigenbaum, L., Herman, I., Hongsermeier, T., Neumann, E., Stephens, S.: The semantic web in action. Sci. Am. 297(6), 90–97 (2007)

    Article  Google Scholar 

  9. Mass, Y., Sagiv, Y.: Virtual documents and answer priors in keyword search over data graphs. In: Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, CEUR Workshop Proceedings, vol. 1558. CEUR-WS.org (2016)

    Google Scholar 

  10. Paschke, A., Burger, A., Romano, P., Marshall, M.S., Splendiani., A. (eds.) Proceedings of the 6th International Workshop on Semantic Web Applications and Tools for Life Sciences, Edinburgh, UK, 10 December 2013, CEUR Workshop Proceedings, vol. 1114. CEUR-WS.org (2014)

    Google Scholar 

  11. Petras, V., Hill, T., Stiller, J., Gäde, M.: Europeana - a search engine for digitised cultural heritage material. Datenbank-Spektrum 17(1), 41–46 (2017)

    Article  Google Scholar 

  12. Pound, J., Mika, P., Zaragoza, H.: Ad-hoc object retrieval in the web of data. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010. pp. 771–780. ACM Press, New York (2010)

    Google Scholar 

  13. Torniai, C., Bourges-Waldegg, D., Hoffmann, S.: eagle-i: biomedical research resource datasets. Semant. Web 6(2), 139–146 (2015)

    Google Scholar 

  14. Wang, H., Aggarwal, C.C.: A survey of algorithms for keyword search on graph data. In: Aggarwal, C., Wang, H. (eds.) Managing and Mining Graph Data. ADBS, vol. 40, pp. 249–273. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-6045-0_8

    Chapter  MATH  Google Scholar 

  15. Yu, J.X., Qin, L., Chang, L.: Keyword search in relational databases: a survey. IEEE Data Eng. Bull. 33(1), 67–78 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Engineering, University of Padua, Padua, Italy

    Dennis Dosso

Authors
  1. Dennis Dosso
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dennis Dosso .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Leif Azzopardi

  2. Bauhaus Universität Weimar, Weimar, Germany

    Benno Stein

  3. Universität Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  4. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

    Philipp Mayr

  5. Delft University of Technology, Delft, The Netherlands

    Claudia Hauff

  6. University of Twente, Enschede, The Netherlands

    Djoerd Hiemstra

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dosso, D. (2019). Keyword Search on RDF Datasets. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science(), vol 11438. Springer, Cham. https://doi.org/10.1007/978-3-030-15719-7_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-15719-7_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15718-0

  • Online ISBN: 978-3-030-15719-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation