home > library > publications > converting object-based thesauri into xml topic maps

schließen Subject Identifier für Converting object-based thesauri into XML Topic Maps
  • http://www.topicmapslab.de/publications/converting_object-based_thesauri_into_xml_topic_maps

Converting object-based thesauri into XML Topic Maps

Paper, veröffentlicht von Naranchimeg Bold, Won-Jung Kim und Jae-Dong Yang am 22.06.2010

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

Externer 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.


Naranchimeg Bold

Keine Kontaktinformationen verfügbar. 


Naranchimeg ist Autor von Converting object-based.. .

Won-Jung Kim

Keine Kontaktinformationen verfügbar. 


Won-Jung ist Autor von Converting object-based.. .

Jae-Dong Yang

Keine Kontaktinformationen verfügbar. 


Jae-Dong ist Autor von Converting object-based.. .



ist assoziert mit {{count}} Einträgen.


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


Follow us on Twitter


Information wants to be free. Information wants to be a topic map.

Kal Ahmed
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab