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COOPIS
2003
IEEE
14 years 3 months ago
Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
Marie-Laure Reinberger, Peter Spyns, Walter Daelem...
NLDB
2010
Springer
14 years 3 months ago
Automatic Term Extraction Using Log-Likelihood Based Comparison with General Reference Corpus
Abstract. In the paper we present a method that allows an extraction of singleword terms for a specific domain. At the next stage these terms can be used as candidates for multi-wo...
Alexander F. Gelbukh, Grigori Sidorov, Eduardo Lav...
DKE
2008
108views more  DKE 2008»
13 years 10 months ago
The thematic and citation landscape of Data and Knowledge Engineering
The thematic and citation structures of Data and Knowledge Engineering (DKE) (1985-2007) are identified based on text analysis and citation analysis of the bibliographic records o...
Chaomei Chen, Il-Yeol Song, Xiaojun Yuan, Jian Zha...
WWW
2010
ACM
14 years 5 months ago
CETR: content extraction via tag ratios
We present Content Extraction via Tag Ratios (CETR) – a method to extract content text from diverse webpages by using the HTML document’s tag ratios. We describe how to comput...
Tim Weninger, William H. Hsu, Jiawei Han
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 10 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa