This paper addresses a novel approach that integrates two different types of information resources: the World Wide Web and libraries. This approach is based on a hypothesis: advantages and disadvantages of the Web and libraries are complemental. The integration is based on correspondent conceptual label names between the Wikipedia categories and subject headings of library materials. The method enables us to find locations of bookshelves in a library easily, using any query keywords. Any keywords which are registered as Wikipedia items are acceptable. The advantages of the method are: the integrative approach makes subject access of library resources have broader coverage than an approach which only uses subject headings; and the approach navigates us to reliable information resources. We implemented the proposed method into an application system, and are now operating the system at several university libraries in Japan. We are planning to evaluate the method based on the query logs collected by the system.

This paper proposes a tool kit to produce a domain ontology for text mining, based on case frames automatically constructed from a raw corpus of a specific domain. Since case frames are strongly related to implicit facts hidden in large domain-specific corpora, we can say that case frames are a promising device for text mining. The aim of the tool kit is to enable automatic analysis of event reports, from which implicit factors of the events are to be extracted. The tool kit enables us to produce a domain ontology by iterating associative retrieval of case frames and manual refinement. In this study, the tool kit is applied to the Japan Airlines pilot report collection, and a domain ontology of contributing factors in the civil aviation domain is experimentally produced. A lot of interesting examples are found in the ontology. In addition, a brief examination of the production process shows the efficiency of the tool kit.