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  1. Proceedings of the First International Workshop on Keyword Search on Structured Data (KEYS '09)
  2. Querying text databases and the web: beyond traditional keyword search
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Structured data and web documents: better together?
Querying text databases and the web: beyond traditional keyword search
Hierarchical result views for keyword queries over relational databases
Query segmentation using conditional random fields
Building search applications with Marklogic Server
Efficient top-k algorithms for fuzzy search in string collections
Keyword query cleaning using hidden Markov models
XML keyword query refinement
A first study on strategies for generating workflow snippets
Do we mean the same?: disambiguation of extracted keyword queries for database search
Language-model-based ranking in entity-relation graphs
Generic and effective semi-structured keyword search
DBDOC: querying and browsing databases and interrelated documents

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Querying text databases and the web: beyond traditional keyword search

Content Provider ACM Digital Library
Author Gravano, Luis
Abstract Traditional keyword search---where a query is a list of keywords and query results are a relevance-ordered list of documents---is, of course, a powerful query paradigm for text databases and the Web. However, more expressive query paradigms, where both queries and their results can exhibit a richer structure than in traditional keyword search, are often desirable. Information extraction systems identify and extract intrinsically structured data that is embedded in natural-language text documents, hence enabling these alternative query paradigms. Unfortunately, information extraction is a time-consuming process, often involving complex text analysis, so exhaustively processing all documents in a large text database --or on the Web-- could be prohibitively expensive. Beyond efficiency, query result quality is also important: information extraction is error-prone and not all extracted data is equally likely to be correct, so result quality is an important consideration during query processing. In this talk, I will discuss recent work on cost-based optimization of structured queries in this information extraction scenario, where modeling query result quality--in addition to execution efficiency-- is a distinctive and important challenge.
Starting Page 2
Ending Page 2
Page Count 1
ISBN 9781605585703
DOI 10.1145/1557670.1557674
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-06-28
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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