A framework of NLP based information tracking and related knowledge organizing with topic maps

Authors:
Asanee Kawtrakul;Chaiyakorn Yingsaeree;Frederic Andres
Affiliations:
NAiST Research Laboratory, Kasetsart University, Bangkok, Thailand;NAiST Research Laboratory, Kasetsart University, Bangkok, Thailand;National Institute of Informatics, Tokyo, Japan
Venue:
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Year:
2007

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Abstract

This paper presents a computational framework for information extraction and aggregation which aims to integrate and organize the data/information resources that spread throughout the Internet in the manner that makes them useful for tracking events such as natural disaster, and disease dispersion. We introduce a simple statistical information extraction technique for summarizing the document into a predefined structure. We apply the topic maps approach as a semantic layer in aggregating and organizing the extracted information for smart access. In addition, this paper also carries out a case study on disease dispersion domain using the proposed framework.