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Chapter 13: Liquid Queries and Liquid Results in Search Computing

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Search Computing

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5950))

Abstract

Liquid queries are a flexible tool for information seeking, based on the progressive exploration of the search space; they produce “fluid” results which dynamically adapt to the shape of the query, as a liquid adapts to its container. The liquid query paradigm relies on the SeCo service mart and multi-domain query execution concepts: an expert user selects a priori the service marts relevant to the information seeking task at hand and the connections necessary to join them, and publishes such a definition in the SeCo back-end. The Liquid Query client-side interface consumes the application definition created by the expert and dynamically builds a query interface for the end-user. Such interface allows one to supply keywords to query the pre-configured service marts and offers controls for exploring the combinations computed by the SeCo execution engine. The interaction commands are based on a tabular representation of results and comprise: reordering, clustering, addition or deletion of attributes, addition of extra service marts to the query for specific items in the result set or for the entire result set, request of more results from all services or from selected ones, expansion of details on selected items, and more. The Liquid Query is equipped with multiple data visualization options suited to render multi-domain results and can be instrumented with indicators showing the quality of the result set.

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References

  1. Aula, A., Russell, D.M.: Complex and Exploratory Web Search. In: Information Seeking Support Systems Workshop (ISSS 2008), Chapel Hill, NC, USA, June 26-27 (2008)

    Google Scholar 

  2. Baeza-Yates, R.: Applications of Web Query Mining. In: Losada, D.E., Fernández-Luna, J.M. (eds.) ECIR 2005. LNCS, vol. 3408, pp. 7–22. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Barbosa, L., Freire, J.: Siphoning hidden-web data through keyword-based interfaces. In: SBBD 2004 (XIX Simpósio Brasileiro de Bancos de Dados, 18-20 de Outubro, Brasília, Distrito Federal, Brasil, pp. 309–321 (2004)

    Google Scholar 

  4. Bozzon, A., Brambilla, M., Fraternali, F.: Conceptual Modelling of Multimedia Search Applications Using Rich Process Models. In: ICWE 2009, pp. 315–329 (2009)

    Google Scholar 

  5. Brambilla, M., Cabot, J., Grossniklaus, M.: Modelling safe interface interactions in web applications. In: Laender, A.H.F. (ed.) ER 2009. LNCS, ch. 29, vol. 5829, pp. 387–400. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Broder, A.: A taxonomy of web search. SIGIR Forum 36(2), 3–10 (2002)

    Article  MATH  Google Scholar 

  7. Cafarella, M.J., Halevy, A., Zhang, Y., Wang, D.Z., Wu, E.: WebTables: Exploring the Power of Tables on the Web. In: Proceedings of the VLDB Endowment, August 2008, vol. 1(1), pp. 538–549 (2008)

    Google Scholar 

  8. Clusty (2009), http://www.clusty.com

  9. Dash, D., Rao, J., Megiddo, N., Ailamaki, A., Lohman, G.: Dynamic faceted search for discovery-driven analysis. In: Proceeding of the 17th ACM Conference on information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, pp. 3–12. ACM, New York (2008)

    Google Scholar 

  10. DBPL Faceted Search (2009), http://dblp.l3s.de

  11. Google Fusion Tables (2009), http://tables.googlelabs.com/

  12. Google Squared (2009), http://www.google.com/squared

  13. Elastic Lists (2009), http://well-formed-data.net/experiments/elastic_lists/

  14. Freebase Parallax (2009), http://www.freebase.com/labs/parallax/

  15. HAKIA (2009), http://hakia.com/

  16. Hunch (2009), http://www.hunch.com/

  17. Inselberg, A.: The Plane with Parallel Coordinates. Visual Computer 1(4), 69–91 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  18. Jansen, B.J., Booth, D.L., Spink, A.: Determining the user intent of web search engine queries. In: WWW 2007, pp. 1149–1150 (2007)

    Google Scholar 

  19. Jansen, B.J., Pooch, U.W.: A review of Web searching studies and a framework for future research. JASIST 52(3), 235–246 (2001)

    Article  Google Scholar 

  20. Kules, B., Capra, R., Banta, M., Sierra, S.: What do exploratory searchers look at in a faceted search interface? In: JCDL 2009, pp. 313–322 (2009)

    Google Scholar 

  21. Kumar, R., Tomkins, A.: A Characterization of Online Search Behaviour. Data Engineering Bullettin 32(2) (June 2009)

    Google Scholar 

  22. Lee, U., Liu, Z., Cho, J.: Automatic identification of user goals in Web search. In: WWW 2005, pp. 391–400 (2005)

    Google Scholar 

  23. Marchionini, G.: Exploratory search: from finding to understanding. Commun. ACM 49(4), 41–46 (2006)

    Article  Google Scholar 

  24. Microsoft Bing (2009), http://www.bing.com/

  25. Minack, E., Demartini, G., Nejdl, W.: Current Approaches to Search Result Diversification, L3S Techical Report, http://www.l3s.de/web/upload/documents/1/paper-camera.pdf

  26. Pirolli, P., Stuart, K.C.: Information Foraging. Psychological Review 106(4), 643–675 (1999)

    Article  Google Scholar 

  27. Rajaraman, A.: Kosmix: High Performance Topic Exploration using the Deep Web. In: Proceedings of the VLDB Endowment, August 2008, vol. 2(1), pp. 1524–1529 (2009)

    Google Scholar 

  28. Rose, D.E., Levinson, D.: Understanding user goals in Web search. In: WWW 2004_ Proceedings of the 13th international conference on World Wide Web, New York, NY, USA, pp. 13–19 (2004)

    Google Scholar 

  29. Sacco, S.M., Tzitzikas, Y.: Dynamic Taxonomies and Faceted Search, Theory, Practice, and Experience. The Information Retrieval Series, vol. 25, p. 340. Springer, Heidelberg (2009)

    Book  Google Scholar 

  30. Shafer, J.C., Agrawal, R., Lauw, H.W.: Symphony: Enabling Search-Driven Applications. In: USETIM (Using Search Engine Technology for Information Management) Workshop, VLDB Lyon (2009)

    Google Scholar 

  31. White, R.W., Muresan, G., Gary, M.: ACM SIGIR Workshop on Evaluating Exploratory Search Systems, Seattle (2006)

    Google Scholar 

  32. White, R.W., Drucker, S.M.: Investigating behavioural variability in web search. In: 16th WWW Conf., Banff, Canada, pp. 21–30 (2007)

    Google Scholar 

  33. White, R.W., Roth, R.A.: Exploratory Search. Beyond the Query–Response Paradigm. In: Marchionini, G. (ed.) Synthesis Lectures on Information Concepts, Retrieval, and Services Series, vol. 3. Morgan & Claypool, San Francisco (2009)

    Google Scholar 

  34. Wolfram Alpha (2009), http://www.wolframalpha.com/

  35. Yahoo! SearchMonkey (2009), http://developer.yahoo.com/searchmonkey/

  36. Yahoo! Pipes (2009), http://pipes.yahoo.com/pipes/

  37. YQL: Yahoo! Query Language (2009), http://developer.yahoo.com/yql/

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Bozzon, A., Brambilla, M., Ceri, S., Fraternali, P., Manolescu, I. (2010). Chapter 13: Liquid Queries and Liquid Results in Search Computing. In: Ceri, S., Brambilla, M. (eds) Search Computing. Lecture Notes in Computer Science, vol 5950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12310-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-12310-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12309-2

  • Online ISBN: 978-3-642-12310-8

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