Ontology learning for the Semantic Web
IEEE Intelligent SystemsPublished 1 March 2001
Alexander Maedche, Steffen Staab
Citations1,084
SJR quartileQ1
SJR score1.33
SNIP2.01
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TL;DR
The authors present an ontology learning framework that extends typical ontology engineering environments by using semiautomatic ontology construction tools and encompasses ontology import, extraction, pruning, refinement and evaluation.
Abstract
The Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the Semantic Web's success. The authors present an ontology learning framework that extends typical ontology engineering environments by using semiautomatic ontology construction tools. The framework encompasses ontology import, extraction, pruning, refinement and evaluation.
Keywords
Computer Science
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