Text Concept Relation Acquisition based on Ontology Similarity
Dao Wang Li · Applied Mechanics and Materials · 2013
Ontologylearning has become a research hotspot in computer field at present with focuson concept and relation acquisition. The acquisition results of traditionalstatistic-based method are not highly accurate because it ignores the effectsof conceptual semantic and characteristics and others factors on conceptualrelation. To resolve above problems, this paper puts forward to a comprehensiveontology similarity integrates semantic similarity with characteristic attributesimilarity, takes uses of association rule to mine concept-to-conceptrelations, and applies comprehensive ontology similarity into relationacquisition. The experiment shows that this method can effectively improve theaccuracy of concept relation acquisition.