- /publications/converting_object-based_thesauri_into_xml_topic_maps
Converting object-based thesauri into XML Topic Maps
Paper, was published by Naranchimeg Bold, Won-Jung Kim, and Jae-Dong Yang at 2010-06-22
External Link: IEEE record
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.
Authors
Naranchimeg Bold
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Naranchimeg is author of Converting object-based.. .
I like the easy but powerful way of merging Topic Maps to extend and combine existing knowledge bases. Thus I see high potential in distributed environments where peer to peer solutions may open the gates to the real Web 3.0.
SharpTM