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» Querying Incomplete Information in Semistructured Data
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ECIR
2009
Springer
14 years 4 months ago
A Probabilistic Retrieval Model for Semistructured Data
Abstract. Retrieving semistructured (XML) data typically requires either a structured query such as XPath, or a keyword query that does not take structure into account. In this pap...
Jinyoung Kim, Xiaobing Xue, W. Bruce Croft
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 7 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin
ICDT
2007
ACM
126views Database» more  ICDT 2007»
14 years 1 months ago
Combining Incompleteness and Ranking in Tree Queries
Abstract. In many cases, users may want to consider incomplete answers to their queries. Often, however, there is an overwhelming number of such answers, even if subsumed answers a...
Benny Kimelfeld, Yehoshua Sagiv
BTW
2007
Springer
131views Database» more  BTW 2007»
13 years 11 months ago
TopX - Efficient and Versatile Top-k Query Process-ing for Text, Semistructured, and Structured Data
: This paper presents a comprehensive overview of the TopX search engine, an extensive framework for unified indexing and querying large collections of unstructured, semistructured...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
ICDT
2012
ACM
293views Database» more  ICDT 2012»
11 years 9 months ago
On the complexity of query answering over incomplete XML documents
Previous studies of incomplete XML documents have identified three main sources of incompleteness – in structural information, data values, and labeling – and addressed data ...
Amélie Gheerbrant, Leonid Libkin, Tony Tan