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» A Probabilistic Retrieval Model for Semistructured Data
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DBPL
2001
Springer
113views Database» more  DBPL 2001»
13 years 10 months ago
Model-Checking Based Data Retrieval
In this paper we develop a new method for solving queries on semistructured data. The main idea is to see a database as a Kripke Transition System (a model) and a query as a formul...
Agostino Dovier, Elisa Quintarelli
BTW
2007
Springer
131views Database» more  BTW 2007»
13 years 9 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
CIKM
2009
Springer
13 years 6 months ago
Retrieval experiments using pseudo-desktop collections
Desktop search is an important part of personal information management (PIM). However, research in this area has been limited by the lack of shareable test collections, making cum...
Jinyoung Kim, W. Bruce Croft
EDBT
2006
ACM
130views Database» more  EDBT 2006»
14 years 5 months ago
Querying and Updating Probabilistic Information in XML
Abstract. We present in this paper a new model for representing probabilistic information in a semi-structured (XML) database, based on the use of probabilistic event variables. Th...
Serge Abiteboul, Pierre Senellart
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 5 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