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Building Topic Maps Using a Text Mining Approach

Book Chapter, was published by Hsin-Chang Yang and Chung-Hong Lee at 2003-10-07

This chapter proposes a semi-automatic scheme to construct topic maps.

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Topic maps standard (ISO-13250) has been gradually recognized as an emerging standard for information exploration and knowledge organization in the web era. One advantage of topic maps is that they enable a user to navigate and access the documents he wants in an organized manner, rather than browsing through hyperlinks that are generally unstructured and often misleading. Nowadays, the topic maps are generally manually constructed by domain experts or users since the functionality and feasibility of automatically generated topic maps still remain unclear. In this work we propose a semi-automatic scheme to construct topic maps. We first apply a text mining process on a corpus of information resources to identify the topics and discover the relations among these topics. Necessary components of topic maps such as topics, topic types, topic occurrences, and topic associations may be automatically revealed by our method.


Chung-Hong Lee

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Chung-Hong is author of Building Topic Maps Using a.. .


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Topic Maps is an excellent paradigm to support human thinking and to visualize networked information. As part of my PhD project, I therefore chose Topic Maps as the conceptual foundation for designing and implementing a software prototype for semantic knowledge retrieval.

Stefan Smolnik
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab