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| Research on Domain Ontology Term Extraction |
| Tang Qing1, Lv Xueqiang1, 2, Li Zhuo1, Shi Shuicai1, 2 |
| 1Beijing Key Laboratory of Internet Culture and Digital Dissemination Research,Beijing Information Science and Technology University,Beijing 100101,China; 2Beijing TRS Information Technology Co.Ltd.,Beijing 100101,China |
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Abstract [Objective] Ontology terms are extracted as more as possible for the quality of Ontology construction. [Methods] This paper proposes an Ontology term extraction method based on term component extension. It uses the polymerization characteristics and POS features of the terms,extracts term components by word frequency comparison approach. Considering the factors of term length,term POS and term internal associative strength of character strings,reasonable extended rules are designed for components extension to get the candidate terms. Then,Ontology terms are filtered from candidate terms by using the relational information and the contextual information. [Results] Experimental result shows that accuracy rate is 83.5%,the recall rate is 87%,the accuracy rate is 2.5 percentages over the baseline. [Limitations] It needs a balanced corpus to extract term component,and term extracting effect is effected by the quality of the term. [Conclusions] The method is effective and has a positive significance for Ontology learning and Ontology construction etc.
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Received: 14 February 2014
Published: 14 February 2014
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