Skip to main content

Path-Oriented Keyword Search Query over RDF

  • Chapter
  • First Online:
Semantic Search over the Web

Part of the book series: Data-Centric Systems and Applications ((DCSA))

Abstract

We are witnessing a smooth evolution of the Web from a worldwide information space of linked documents to a global knowledge base, where resources are identified by means of uniform resource identifiers (URIs, essentially string identifiers) and are semantically described and correlated through resource description framework (RDF, a metadata data model) statements.

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 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
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    We do not explore further the notion of semantic query expansion and refer here to standard IR techniques.

  2. 2.

    The geometric mean of a dataset \(\{{a}_{1},{a}_{2},\ldots,{a}_{n}\}\)is given by \(\root{n}\of{{a}_{1} \cdot {a}_{2}\cdots {a}_{n}}\).

  3. 3.

    http://knoesis.wright.edu/library/ontologies/swetodblp/

  4. 4.

    http://www.linkedmdb.org/

  5. 5.

    http://docs.google.com/View?id=ddgw7sjp_54fgj9kg

References

  1. Bhalotia, G., Hulgeri, A., Nakhe, C., Chakrabarti, S., Sudarshan, S.: Keyword searching and browsing in databases using banks. ICDE, pp. 431–440 (2002)

    Google Scholar 

  2. Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Comput. Networks 30(1–7), 107–117 (1998)

    Google Scholar 

  3. Cappellari, P., Virgilio, R.D., Miscione, M., Roantree, M.: A path-oriented rdf index for keyword search query processing. DEXA (2011)

    Google Scholar 

  4. Dalvi, B.B., Kshirsagar, M., Sudarshan, S.: Keyword search on external memory data graphs. Proc. VLDB 1(1), 1189–1204 (2008)

    Article  Google Scholar 

  5. Fagin, R., Lotem, A., Naor, M.: Optimal aggregation algorithms for middleware. PODS, pp. 102–113 (2001)

    Google Scholar 

  6. Fellbaum, C. (ed.): WordNet an Electronic Lexical Database. MIT, Cambridge, MA (1998)

    Google Scholar 

  7. Garey, M.R., Graham, R.L., Johnson, D.S.: The complexity of computing Steiner minimal trees. SIAM J. Appl. Math. 32(4), 835–859 (1977)

    Article  MathSciNet  Google Scholar 

  8. Golenberg, K., Kimelfeld, B., Sagiv, Y.: Keyword proximity search in complex data graphs. SIGMOD, pp. 927–940 (2008)

    Google Scholar 

  9. Guo, Y., Pan, Z., Heflin, J.: Lubm: a benchmark for owl knowledge base systems. J. Web Sem. 3(2-3), 158–182 (2005)

    Article  Google Scholar 

  10. He, H., Wang, H., Yang, J., Yu, P.S.: Blinks: ranked keyword searches on graphs. SIGMOD (2007)

    Google Scholar 

  11. Hristidis, V., Gravano, L., Papakonstantinou, Y.: Efficient ir-style keyword search over relational databases. VLDB, pp. 850–861 (2003)

    Google Scholar 

  12. Hristidis, V., Koudas, N., Papakonstantinou, Y., Srivastava, D.: Keyword proximity search in xml trees. IEEE Trans. Knowl. Data Eng. 18(4), 525–539 (2006)

    Article  Google Scholar 

  13. Kacholia, V., Pandit, S., Chakrabarti, S., Sudarshan, S., Desai, R., Karambelkar, H.: Bidirectional expansion for keyword search on graph databases. VLDB (2005)

    Google Scholar 

  14. Kimelfeld, B., Sagiv, Y.: Finding and approximating top-k answers in keyword proximity search. PODS, pp. 173–182 (2006)

    Google Scholar 

  15. Li, G., Ooi, B.C., Feng, J., Wang, J., Zhou, L.: Ease: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data. SIGMOD (2008)

    Google Scholar 

  16. Liu, F., Yu, C.T., Meng, W., Chowdhury, A.: Effective keyword search in relational databases. SIGMOD (2006)

    Google Scholar 

  17. Luo, Y., Lin, X., Wang, W., Zhou, X.: Spark: top-k keyword query in relational databases. SIGMOD (2007)

    Google Scholar 

  18. Luo, Y., Wang, W., Lin, X., Zhou, X., Member, S., Wang, I.J., Li, K.: Spark2: Top-k keyword query in relational databases. IEEE Trans. Knowl. Data Eng. 99, 1 (2011)

    Google Scholar 

  19. Piwowarski, B., Dupret, G.: Evaluation in (xml) information retrieval: expected precision-recall with user modelling (eprum). SIGIR, pp. 260–267 (2006)

    Google Scholar 

  20. Qin, L., Yu, J.X., Chang, L.: Keyword search in databases: the power of rdbms. SIGMOD (2009)

    Google Scholar 

  21. Singhal, A.: Modern information retrieval: a brief overview. Data(base) Eng. Bull. 24(4), 35–43 (2001)

    Google Scholar 

  22. Singhal, A., Buckley, C., Mitra, M.: Pivoted document length normalization. SIGIR, pp. 21–29 (1996)

    Google Scholar 

  23. Tran, T., Wang, H., Rudolph, S., Cimiano, P.: Top-k exploration of query candidates for efficient keyword search on graph-shaped (rdf) data. ICDE, pp. 405–416 (2009)

    Google Scholar 

  24. Virgilio, R.D., Cappellari, P., Miscione, M.: Cluster-based exploration for effective keyword search over semantic datasets. ER, pp. 205–218 (2009)

    Google Scholar 

  25. Zenz, G., Zhou, X., Minack, E., Siberski, W., Nejdl, W.: From keywords to semantic queries – incremental query construction on the semantic web. J. Web Semant. 7(3), 166–176 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roberto De Virgilio .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

De Virgilio, R., Maccioni, A., Torlone, R., Cappellari, P. (2012). Path-Oriented Keyword Search Query over RDF. In: De Virgilio, R., Guerra, F., Velegrakis, Y. (eds) Semantic Search over the Web. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25008-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25008-8_4

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25007-1

  • Online ISBN: 978-3-642-25008-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics