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Converting

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

This paper designs and implements an XTM (XML Topic Maps) code converter.

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

No contact information available. 

Signet_person

Naranchimeg is author of Converting object-based.. .

Won-Jung Kim

No contact information available. 

Signet_person

Won-Jung is author of Converting object-based.. .

Jae-Dong Yang

No contact information available. 

Signet_person

Jae-Dong is author of Converting object-based.. .

glossary

XTM

is associated with {{count}} items.

Signet_glossary

XTM is the abbreviation for Topic Maps XML Syntax. There are currently two versions: XTM1 and XTM2.

 

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