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Capacity-Constrained Query Formulation

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Research and Advanced Technology for Digital Libraries (ECDL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6273))

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Abstract

Given a set of keyphrases, we analyze how Web queries with these phrases can be formed that, taken altogether, return a specified number of hits. The use case of this problem is a plagiarism detection system that searches the Web for potentially plagiarized passages in a given suspicious document. For the query formulation problem we develop a heuristic search strategy based on co-occurrence probabilities. Compared to the maximal termset strategy [3], which can be considered as the most sensible non-heuristic baseline, our expected savings are on average 50% when queries for 9 or 10 phrases are to be constructed.

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References

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  2. Barker, K., Cornacchia, N.: Using noun phrase heads to extract document keyphrases. In: Proc. of AI 2000, pp. 40–52 (2000)

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  3. Pôssas, B., Ziviani, N., Ribeiro-Neto, B.A., Meira Jr., W.: Maximal termsets as a query structuring mechanism. In: Proc. of CIKM 2005, pp. 287–288 (2005)

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  4. Shapiro, J., Taksa, I.: Constructing web search queries from the user’s information need expressed in a natural language. In: Matsui, M., Zuccherato, R.J. (eds.) SAC 2003. LNCS, vol. 3006, pp. 1157–1162. Springer, Heidelberg (2004)

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© 2010 Springer-Verlag Berlin Heidelberg

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Hagen, M., Stein, B.M. (2010). Capacity-Constrained Query Formulation. In: Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., Frommholz, I. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2010. Lecture Notes in Computer Science, vol 6273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15464-5_38

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  • DOI: https://doi.org/10.1007/978-3-642-15464-5_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15463-8

  • Online ISBN: 978-3-642-15464-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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