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ISMIS
1999
Springer
13 years 9 months ago
A Statistical Approach to Rule Selection in Semantic Query Optimisation
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...
Barry G. T. Lowden, Jerome Robinson
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
13 years 9 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock
CORR
2006
Springer
143views Education» more  CORR 2006»
13 years 5 months ago
A Knowledge-Based Approach for Selecting Information Sources
Through the Internet and the World-Wide Web, a vast number of information sources has become available, which offer information on various subjects by different providers, often i...
Thomas Eiter, Michael Fink, Hans Tompits
COLING
2010
13 years 6 days ago
Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches
Main approaches to corpus-based semantic class mining include distributional similarity (DS) and pattern-based (PB). In this paper, we perform an empirical comparison of them, bas...
Shuming Shi, Huibin Zhang, Xiaojie Yuan, Ji-Rong W...
IJSWIS
2007
133views more  IJSWIS 2007»
13 years 5 months ago
Association Rule Ontology Matching Approach
This paper presents a hybrid, extensional and asymmetric matching approach designed to find out semantic relations (equivalence and subsumption) between entities issued from two ...
Jérôme David, Fabrice Guillet, Henri ...