Approach to Automatical Construction of Domain Ontology
Xiaopeng Zhang · Jisuanji gongcheng · 2007
This paper presents an approach to mining domain-dependent ontologies using term extraction and relationship discovery technology.There are two main innovations in the approach.One is extracting terms using log-likelihood ratio,which is based on the contrastive probability of term occurrence in domain corpus and background corpus.The other is fusing together information from multiple knowledge sources as evidences for discovering particular semantic relationships among terms.In the experiment,traditional k-mediods algorithm is improved for multi-level clustering.The approach to produce an ontology for the domain of computer science is applied and promising results are obtained.