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An Enhanced Search Interface for Information Discovery from Digital Libraries

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Research and Advanced Technology for Digital Libraries (ECDL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4172))

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Abstract

Libraries, museums, and other organizations make their electronic contents available to a growing number of users on the Web. A large fraction of the information published is stored in structured or semi-structured form. However, most users have no specific knowledge of schemas or structured query languages for accessing information stored in (relational or XML) databases. Under these circumstances, the need for facilitating access to information stored in databases becomes increasingly more important. Précis queries are free-form queries that instead of simply locating and connecting values in tables, they also consider information around these values that may be related to them. Therefore, the answer to a précis query might also contain information found in other parts of the database. In this paper, we describe a précis query answering prototype system that generates personalized presentation of short factual information précis in response to keyword queries.

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References

  1. Agrawal, S., Chaudhuri, S., Das, G.: DBXplorer: A system for keyword-based search over relational databases. In: ICDE, pp. 5–16 (2002)

    Google Scholar 

  2. Androutsopoulos, I., Ritchie, G.D., Thanisch, P.: Natural Language Interfaces to Databases - An Introduction. NL Eng. 1(1), 29–81 (1995)

    Google Scholar 

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

    Google Scholar 

  4. Dusterhoft, A., Thalheim, B.: Linguistic based search facilities in snowflake-like database schemes. DKE 48, 177–198 (2004)

    Article  Google Scholar 

  5. Florescu, D., Kossmann, D., Manolescu, I.: Integrating keyword search into XML query processing. Computer Networks 33(1-6) (2000)

    Google Scholar 

  6. Guo, L., Shao, F., Botev, C., Shanmugasundaram, J.: XRank: Ranked keyword search over XML documents. In: SIGMOD, pp. 16–27 (2003)

    Google Scholar 

  7. Harris, L.R.: User-Oriented Data Base Query with the ROBOT Natural Language Query System. In: VLDB 1977, pp. 303–312 (1977)

    Google Scholar 

  8. Hristidis, V., Gravano, L., Papakonstantinou, Y.: Effcient IR-style keyword search over relational databases. In: VLDB, pp. 850–861 (2003)

    Google Scholar 

  9. Hristidis, V., Papakonstantinou, Y., Balmin, A.: Keyword proximity search on XML graphs. In: ICDE, pp. 367–378 (2003)

    Google Scholar 

  10. IBM. DB2 Text Information Extender, http://www.ibm.com/software/data/db2/extender/textinformation/

  11. Koutrika, G., Simitsis, A., Ioannidis, Y.: Précis: The essence of a query answer. In: ICDE (2006)

    Google Scholar 

  12. Marchionini, G.: Interfaces for End-User Information Seeking. J. of the American Society for Inf. Sci. 43(2), 156–163 (1992)

    Article  Google Scholar 

  13. Masermann, U., Vossen, G.: Design and implementation of a novel approach to keyword searching in relational databases. In: Masunaga, Y., Thalheim, B., Štuller, J., Pokorný, J. (eds.) ADBIS 2000 and DASFAA 2000. LNCS, vol. 1884, pp. 171–184. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  14. Metais, E., Meunier, J., Levreau, G.: Database Schema Design: A Perspective from Natural Language Techniques to Validation and View Integration. In: ER, pp. 190–205 (2003)

    Google Scholar 

  15. Metais, E.: Enhancing information systems management with natural language processing techniques. DKE 41, 247–272 (2002)

    Article  MATH  Google Scholar 

  16. Microsoft. SQL Server (2000), http://msdn.microsoft.com/library/

  17. Minock, M.: A Phrasal Approach to Natural Language Interfaces over Databases. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 181–191. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  18. Motro, A.: Constructing queries from tokens. In: SIGMOD, pp. 120–131 (1986)

    Google Scholar 

  19. Oracle. Oracle 9i Text, http://www.oracle.com/technology/products/text/

  20. Simitsis, A., Koutrika, G.: Pattern-Based Query Answering. In: PaRMa 2006 (2006)

    Google Scholar 

  21. Simitsis, A., Koutrika, G.: Comprehensible Answers to Précis Queries. In: Dubois, E., Pohl, K. (eds.) CAiSE 2006. LNCS, vol. 4001, pp. 142–156. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  22. Sneiders, E.: Automated Question Answering Using Question Templates That Cover the Conceptual Model of the Database. In: Andersson, B., Bergholtz, M., Johannesson, P. (eds.) NLDB 2002. LNCS, vol. 2553, pp. 235–239. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  23. Storey, V.C., Goldstein, R.C., Ullrich, H.: Naive Semantics to Support Automated Database Design. IEEE TKDE 14(1), 1–12 (2002)

    Google Scholar 

  24. Storey, V.C.: Understanding and Representing Relationship Semantics in Database Design. In: Bouzeghoub, M., Kedad, Z., Métais, E. (eds.) NLDB 2000. LNCS, vol. 1959, pp. 79–90. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  25. Toral, A., Noguera, E., Llopis, F., Munoz, R.: Improving Question Answering Using Named Entity Recognition. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 181–191. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  26. Wang, Q., Nass, C., Hu, J.: Natural Language Query vs. Keyword Search: Effects of Task Complexity on Search Performance, Participant Perceptions, and Preferences. In: Costabile, M.F., Paternó, F. (eds.) INTERACT 2005. LNCS, vol. 3585, pp. 106–116. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Athens, Athens, Greece

    Georgia Koutrika

  2. Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

    Alkis Simitsis

Authors
  1. Georgia Koutrika
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  2. Alkis Simitsis
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Editor information

Editors and Affiliations

  1. No Affiliations,  

    Julio Gonzalo

  2. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Richerche, Via Moruzzi, 1, 56124, Pisa, Italy

    Costantino Thanos

  3. Dpto. Lenguajes y Sistemas Informáticos, UNED,  

    M. Felisa Verdejo

  4. Dep. de Lenguajes y Sistemas Informáticos, Universidad de Alicante, E-03071, Alicante, Spain

    Rafael C. Carrasco

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Koutrika, G., Simitsis, A. (2006). An Enhanced Search Interface for Information Discovery from Digital Libraries. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2006. Lecture Notes in Computer Science, vol 4172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863878_8

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  • DOI: https://doi.org/10.1007/11863878_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44636-1

  • Online ISBN: 978-3-540-44638-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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