Skip to main content

Searching the Web of Data

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7814))

Abstract

Search is currently undergoing a major paradigm shift away from the traditional document-centric “10 blue links” towards more explicit and actionable information. Recent advances in this area are Google’s Knowledge Graph, Virtual Personal Assistants such as Siri and Google Now, as well as the now ubiquitous entity-oriented vertical search results for places, products, etc. Apart from novel query understanding methods, these developments are largely driven by structured data that is blended into the Web Search experience. We discuss efficient indexing and query processing techniques to work with large amounts of structured data. Finally, we present query interpretation and understanding methods to map user queries to these structured data sources.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   129.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pound, J., Mika, P., Zaragoza, H.: Ad-hoc object retrieval in the web of data. In: WWW 2010, pp. 771–780 (2010)

    Google Scholar 

  2. Kamps, J., Karlgren, J., Mika, P., Murdock, V.: Workshop on exploiting semantic annotations in information retrieval (ESAIR 2012). In: CIKM (2012)

    Google Scholar 

  3. Word Wide Web Consortium: RDF Primer (W3C Recommendation February 10, 2004) (2004), http://www.w3.org/TR/rdf-primer/

  4. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: DBpedia: A Nucleus for a Web of Open Data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  5. Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: WWW (2007)

    Google Scholar 

  6. Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The Story So Far. Int. Journal on Semantic Web and Information Systems 5(3), 1–22 (2009)

    Article  Google Scholar 

  7. Hose, K., Schenkel, R., Theobald, M., Weikum, G.: Database Foundations for Scalable RDF Processing. In: Polleres, A., d’Amato, C., Arenas, M., Handschuh, S., Kroner, P., Ossowski, S., Patel-Schneider, P. (eds.) Reasoning Web 2011. LNCS, vol. 6848, pp. 202–249. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  8. Neumann, T., Weikum, G.: x-RDF-3X: Fast querying, high update rates, and consistency for RDF databases. PVLDB 3(1), 256–263 (2010)

    Google Scholar 

  9. Abadi, D.J., Marcus, A., Madden, S., Hollenbach, K.: SW-Store: a vertically partitioned DBMS for Semantic Web data management. VLDB J. 18(2), 385–406 (2009)

    Article  Google Scholar 

  10. Sidirourgos, L., Goncalves, R., Kersten, M.L., Nes, N., Manegold, S.: Column-store support for RDF data management: not all swans are white. PVLDB 1(2) (2008)

    Google Scholar 

  11. Wilkinson, K., Sayers, C., Kuno, H.A., Reynolds, D.: Efficient RDF storage and retrieval in Jena2. In: SWDB, pp. 131–150 (2003)

    Google Scholar 

  12. Levandoski, J.J., Mokbel, M.F.: RDF data-centric storage. In: ICWS (2009)

    Google Scholar 

  13. Huang, J., Abadi, D.J., Ren, K.: Scalable SPARQL querying of large RDF graphs. PVLDB 4(11), 1123–1134 (2011)

    Google Scholar 

  14. Schwarte, A., Haase, P., Hose, K., Schenkel, R., Schmidt, M.: FedX: A Federation Layer for Distributed Query Processing on Linked Open Data. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part II. LNCS, vol. 6644, pp. 481–486. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. World Wide Web Consortium: SPARQL Query Language for RDF (W3C Recommendation January 15, 2008), http://www.w3.org/TR/rdf-sparql-query/

  16. Tonon, A., Demartini, G., Cudré-Mauroux, P.: Combining inverted indices and structured search for ad-hoc object retrieval. In: SIGIR, pp. 125–134 (2012)

    Google Scholar 

  17. Delbru, R., Campinas, S., Tummarello, G.: Searching web data: An entity retrieval and high-performance indexing model. J. Web Sem. 10, 33–58 (2012)

    Article  Google Scholar 

  18. Demartini, G., Iofciu, T., de Vries, A.P.: Overview of the INEX 2009 Entity Ranking Track. In: Geva, S., Kamps, J., Trotman, A. (eds.) INEX 2009. LNCS, vol. 6203, pp. 254–264. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  19. Balog, K., Serdyukov, P., de Vries, A.P.: Overview of the TREC 2011 entity track. In: Proceedings of TREC 2011, NIST (2011)

    Google Scholar 

  20. Robertson, S., Zaragoza, H., Taylor, M.: Simple BM25 extension to multiple weighted fields. In: CIKM (2004)

    Google Scholar 

  21. Kim, J.Y., Croft, W.B.: A Field Relevance Model for Structured Document Retrieval. In: Baeza-Yates, R., de Vries, A.P., Zaragoza, H., Cambazoglu, B.B., Murdock, V., Lempel, R., Silvestri, F. (eds.) ECIR 2012. LNCS, vol. 7224, pp. 97–108. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  22. Guo, J., Xu, G., Cheng, X., Li, H.: Named entity recognition in query. In: SIGIR 2009 (2009)

    Google Scholar 

  23. Tummarello, G., Cyganiak, R., Catasta, M., Danielczyk, S., Delbru, R., Decker, S.: Sig.ma: Live views on the web of data. J. Web Sem. 8(4), 355–364 (2010)

    Article  Google Scholar 

  24. Elbassuoni, S., Blanco, R.: Keyword search over RDF graphs. In: CIKM (2011)

    Google Scholar 

  25. Yahya, M., Berberich, K., Elbassuoni, S., Ramanath, M., Tresp, V., Weikum, G.: Deep answers for naturally asked questions on the web of data. In: WWW (2012)

    Google Scholar 

  26. Unger, C., Bühmann, L., Lehmann, J., Ngonga Ngomo, A.C., Gerber, D., Cimiano, P.: Template-based question answering over RDF data. In: WWW (2012)

    Google Scholar 

  27. Ferrucci, D.A., Brown, E.W., Chu-Carroll, J., Fan, J., Gondek, D., Kalyanpur, A., Lally, A., Murdock, J.W., Nyberg, E., Prager, J.M., Schlaefer, N., Welty, C.A.: Building Watson: An overview of the DeepQA project. AI Magazine 31(3) (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

de Melo, G., Hose, K. (2013). Searching the Web of Data. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_105

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36973-5_105

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics