期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2015
卷号：6
期号：3
页码：1
DOI：10.5121/ijwest.2015.6301
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Concept hierarchy is the backbone of ontology, and the concept hierarchy acquisition has been a hot topicin the field of ontology learning. this paper proposes a hyponymy extraction method of domain ontologyconcept based on cascaded conditional random field(CCRFs) and hierarchy clustering. It takes free text asextracting object, adopts CCRFs identifying the domain concepts. First the low layer of CCRFs is used toidentify simple domain concept, then the results are sent to the high layer, in which the nesting conceptsare recognized. Next we adopt hierarchy clustering to identify the hyponymy relation between domainontology concepts. The experimental results demonstrate the proposed method is efficient.
关键词：Domain Ontology; Hyponymy Relation; Cascaded Conditional Random Fields(CCRFs); Hierarchy;Clustering
