133,251 terms extracted from biological books and dictionaries were processed to automatically extract semantic relations among terms such as hierarichical and equivalent relations. Extracted terms represent biological concept, thus extracted relations define the biological conceptual network. Analysis of the constructed conceptual network shows double scale-free property, and concepts with large number of semantic relations are shown to be important biological concepts. These concepts with large number of semantic relations shorten the time to search concepts in the network.

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　We developed a browsing system for various terminological systems. Our system can support to create a new terminological system, using terms with hierarchical relationship picked up from existent terminological systems. A user can grasp the hierarchical relationships between selected terms intuitively, since our system illustrates the structure in clickable map form, HTML form, etc. Our system also integrates the terms with hierarchical relationships selected from several terminological systems, and displays the terms and relationships among them, therefore a user can grasp the structure and can collect the vocabularies suitable for the new terminological system for him/her to create. Moreover, our system provides reusable terminological data written in XML (Extensible Markup Language). Our system is successfully applied to five terminological systems which differ from each other in their fields or scales. Looking at the structuer of several terminological systems, a user of our system can browse the integrated result of one or more terminological systems in arbitrary combination, and can also acquire the displayed data as the XML form, and can reuse it for his/her task. These results indicate effectiveness and usefulness of our system.

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　Though unique styles have been accumulated for describing various aspects of Japanese traditional cultural properties, few education systems and academic discussions have been developed for it. Therefore much difficulty is caused in sharing information about cultural properties among museums and researchers. This paper introduces data categories used in published catalogs of some museums in Japan, and tries to arrange them into international museum data standard. As a result, despite names of the categories vary widely among museums, many share common concepts by appropriate arrangement. This fact suggests the possibility of sharing of basic object data among museums. As every category has its characteristic style of description based on academic background, the author introduces some typical styles and points out some problems expected in sharing information.

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　This paper attempts to evaluate the following areas based on the usage survey par-formed regarding the Full-text Database for Japanese Classical Literature.
　(1) How the FUll-text Database for Japanese Classical Literature is used
　(2) What effect the FUll-text Database for Japanese Classical Literature has had on the research activities of its users
　The survey wa conducted using an E-mail questionnaire. Ten areas for survey were prepared, focusing on how the Full-text Database for Japanese Classical Literature is used and what effect it has had on research activities. We were able to obtain the following fascinating results from analysis of the survey results.
　(1) Research which presupposes use of the Full-text Database of for Japanese Classical Literature is being conducted.
　(2) Research is being carried out faster, and productivity has also improved.
　In addition, it has become clear from this survey that many users want see a greater variety of works and more accurate texts available.

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