Advertisement

Ontology Based Segmentation of Geo-Referenced Queries

  • Mamoun Abu Helou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7059)

Abstract

The last generation of search engines is confronted with complex queries, whose expression goes beyond the capability of the Bag of Word model and requires the systems which understand query sentences. Among these queries, huge importance is taken by geo-referenced queries, i.e. queries whose understanding requires localizing objects of interest, where the user location is the most important parameter. In this paper, we focus on geo-referenced queries and show how natural language analysis can be used to decompose queries into sub-queries and associating them to suitable real-world objects. In this paper we propose a syntactic and semantic approach, which uses syntactic query segmentation techniques and the ontological notion of geographic concepts to produce good query interpretations; an analysis of the method shows its practical viability.

Keywords

Query Segmentation Query Understanding Geo-Referenced Query Multi-Domain Query 

References

  1. 1.
    Bergsma, S., Wang, Q.I.: Learning noun phrase query segmentation. In: EMNLP-CoNLL 2007, pp. 819–826 (2007)Google Scholar
  2. 2.
    Ceri, S., Brambilla, M. (eds.): Search Computing. LNCS, vol. 5950. Springer, Heidelberg (2010)Google Scholar
  3. 3.
    Chen, Y., Zhang, Y.-Q.: A query substitution – search result refinement approach for long query web searches. In: WI-IAT, pp. 245–251 (2009)Google Scholar
  4. 4.
    Guo, J., Xu, G., Li, H., Cheng, X.: A unified and discriminative model for query refinement. In: ACM SIGIR Conference on R&D in IR, pp. 379–386 (2008)Google Scholar
  5. 5.
    Hoffart, J., et al.: YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. In: WWW 2011, Hyderabad, India (2011)Google Scholar
  6. 6.
    Klein, D., Manning, C.D.: Fast exact inference with a factored model for natural language parsing. In: Becker, S., Thrun, S., Obermayer, K. (eds.) Advances in NIPS, pp. 3–10. MIT Press (2002)Google Scholar
  7. 7.
    Kaufmann, E., Bernstein, A., Fischer, L.: NLP-Reduce: A “Nave” but Domain Independent Natural Language Interface for Querying Ontologies. In: Demo-Paper at the 4th European Semantic Web Conference, pp. 1–2 (2007)Google Scholar
  8. 8.
    Tan, B., Peng, F.: Unsupervised query segmentation using generative language models and Wikipedia. In: WWW 2008, pp. 347–356. ACM (2008)Google Scholar
  9. 9.
    Tablan, V., Damljanovic, D., Bontcheva, K.: A Natural Language Query Interface to Structured Information. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS(LNAI), vol. 5021, pp. 361–375. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mamoun Abu Helou
    • 1
  1. 1.Dipartimento di Elettronica ed InformazionePolitecnico di MilanoMilanoItaly

Personalised recommendations