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Answering web queries using structured data sources

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    Publication properties
    Title: Answering web queries using structured data sources
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    Date: 2009
    Publication type: Conference paper
    Authors:
    No. First name Last name Show
    1. Stelios Paparizos
    2. Alexandros Ntoulas
    3. John Shafer
    4. Rakesh Agrawal
    Download (by DOI): 10.1145/1559845.1560000
    BibTeX: conf/sigmod/PaparizosNSA09
    DBLP: db/conf/sigmod/sigmod2009.html#PaparizosNSA09
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    Conference Track
    Conference Name: ACM SIGMOD International Conference on Management of Data, SIGMOD 2009, Providence, Rhode Island, USA, June 29 - July 2, 2009 2009
    Track Name: Demo
    URL: http://www.sigmod09.org/

    Abstract

    In web search today, a user types a few keywords which are then matched against a large collection of unstructured web pages. This leaves a lot to be desired for when the best answer to a query is contained in structured data stores and/or when the user includes some structural semantics in the query.

    In our work, we include information from structured data sources into web results. Such sources can vary from fully relational DBs, to flat tables and XML files. In addition, we take advantage of information in such sources to automatically extract corresponding semantics from the query and use them appropriately in improving the overall relevance of results.

    For this demonstration, we show how we effectively capture, annotate and translate web user queries such as 'popular digital camera around \$425' returning results from a shopping-like DB.