A new Formal Concept Analysis based learning approach to Ontology building

被引：2
|
作者：
Jia, Haibo [1 ]
Newman, Julian [1 ]
Tianfield, Huaglory [1 ]
机构：
[1] Glasgow Caledonian Univ, Sch Engn & Comp, Glasgow G4 0BA, Lanark, Scotland
来源：
METADATA AND SEMANTICS | 2009年
关键词：
D O I：
10.1007/978-0-387-77745-0_42
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Formal Concept Analysis (FCA) is it concept clustering approach that has been widely applied in ontology learning. In our work, we present an innovative approach to generating information context from a tentative domain specified scientific corpus and mapping a concept lattice to a formal ontology. The application of the proposed approach to Semantic Web search demonstrates this automatically constructed ontology can provide a semantic way to expand users' query context, which can complement a conventional search engine.
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页码：433 / 444
页数：12
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