Abstract
Hyponymy Extraction of Domain Ontology Concept Based on CCRFS and Hierarchy Clustering
Highlights
Automatic acquisition of hyponymy relations is a basic problem in knowledge acquisition from text, and commonly used in the construction and verification of ontology, knowledge base and lexicon
This paper propose a method base on CCRFs to automatic acquire the “is-a” relation between domain concepts
This paper describes a hyponymy extraction algorithm of domain ontology concepts based on CCRFs and hierarchy clustering
Summary
Automatic acquisition of hyponymy relations is a basic problem in knowledge acquisition from text, and commonly used in the construction and verification of ontology, knowledge base and lexicon. A simple way to judge if a ISA(C1,C2) relation is correct or not is to judge if the sentence “C1 is a kind of/ is one of C2” is correct. “is-a” relationship of domain terminology is a basic and important problem in the construction of domain ontology. Automatic acquisition of “is-a” relations can be used to construct the classification of domain ontology. This paper propose a method base on CCRFs to automatic acquire the “is-a” relation between domain concepts. First we carry on semantic analysis, utilize the result of semantic analysis to aggregate the domain concepts, at last, acquire “is-a” relationship through calculating the co-occurrence
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