Converting Object-based Thesauri into XML Topic Maps
Constructing ontology is considerably time consuming process in general. Since there are a vast amount of thesauri currently available, it may be a feasible solution to exploit thesauri, when constructing ontology in a short period of time. This paper designs and implements a XTM (XML Topic Maps) code converter generating XTM coded ontology from an object based thesaurus. It is an extended thesaurus, which enriches the conventional thesauri with user defined associations, a notion of instances and occurrences associated with them. The reason we adopt XTM is that it is a verified and practical methodology to semantically reorganize the conceptual structure of extant web applications with minimal effort. Moreover, since XTM is conceptually similar to our object based thesauri, recommendation and inference mechanism already developed in our system could be easily applied to the generated XTM ontology. To show that the XTM ontology is correct, we also verify it with ontopia Omnigator and Vizigator, the components of Ontopia Knowledge Suite (OKS) tool.
xml topic maps object-based thesaurus ontology
Naranchimeg Bold Won-Jung Kim Jae-Dong Yang
Division of Electronics and Information Engineering,Chonbuk National University Jeonju, South Korea
国际会议
上海
英文
102-106
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）