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Conclusion

In this paper, we proposed a new method of information gathering, categorization, and reorganization using ontologies.

We have implemented a system called `` IICA (Intelligent Information Collector and Analyzer)'' which helps people to acquire knowledge from the information resources on the wide-area network gathering and categorizing information.

We have tested our approach for tasks on the WWW We can conclude the following advantages of our approach from the results.

• Ontology and heuristics make accuracy and efficiency better in information gathering.

• IICA can understand which information is related to user's request using ontologies.

• IICA allows the user to search and reach the the misclassified items by tracing ontological relations.

• It is possible to easily extract and reorganize specific information from very large text data by using heuristics based on expression patterns and phrases.

• It is easier to develop weakly structured ontologies from terminologies and thesauruses than conventional methods.

• The ontology-based approach enables us intensive use of heterogeneous information resources on the wide-area such as the WWW.

The problem of the current system is that ontologies should be given in advance and therefore not flexible both to users and information. We should consider learning of new terms from gathered pages and customizing of ontologies to user's interest and purposes.