Joho Chishiki Gakkaishi

Special Issue : The 20th Information and Knowledge Forum

[title in Japanese]

[in Japanese]

2015 Volume 25 Issue 4 Pages 281
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_022

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[title in Japanese]

2015 Volume 25 Issue 4 Pages 282
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_023

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The framework for cross-disciplinary databases with Linked Data

Hideaki TAKEDA, Fumihiro KATO, OHMUKAI Ikki

2015 Volume 25 Issue 4 Pages 283-290
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_024

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　In this article, we discuss how Linked Data is suitable to create cross-disciplinary database with respect to the mechanism and the existing datasets. Linked Data mechanism is to provide “web of data” by describing data with RDF while the traditional Web pages consist of “web of documents” with HTML. In particular, DBpedia, LOD of Wikipedia, has accelerated creation of other LODs since DBpedia works as a hub to link cross-disciplinary datasets. We have launched DBpedia Japanese with expecting the same effect in Japan. Indeed, we observed many new activities to expend Linked Data cloud in Japan, more than 50 technical reports, 20 directly linked datasets and 15 applications.

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Apply Linked Data to Large-Scale Humanities Database

Makoto GOTO

2015 Volume 25 Issue 4 Pages 291-298
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_025

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　The National Institutes for the Humanities (NIHU) have been developing an integrated retrieval system (nihuINT) using existing research databases and the sharing of resources for application purposes since 2005. However, 10 years have elapsed since nihuINT was constructed, and some problems have been identified. To solve these problems, we began to construct a database as a prototype for a new nihuINT. We focused on two databases for our experiment. One deals with “rare Japanese classical books,” and the other deals with “Shoen” (a field or manor in Medieval Japan). We took these databases and rebuilt them as RDF (Resource Description Framework)Store/RDF databases.

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Collection and Integration of Knowledge by Location: Activities of CSIS/UT for Research Promotion

Ryosuke SHIBASAKI

2015 Volume 25 Issue 4 Pages 299-302
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_026

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　Spatial information science is a broad discipline originating geography, driven by data on real world phenomena. To promote the science and technology, it is very necessary to provide data platform where researchers can easily find base maps, statistics and fragmentary data material describing the changes or dynamics of the real world. Center for Spatial Information Science （CSIS）, the University of Tokyo, provides such a data platform. To further promote or encourage the advances of the science, CSIS collect, organize and integrate research achievements and data/knowledge product based on “space” or location. This article introduces such activities of CSIS, UT.

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Construction of Temporal Information Platform and its Utilization - Knowledge Processing by Time

Tatsuki SEKINO

2015 Volume 25 Issue 4 Pages 303-314
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_027

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　Integrated environment for visualization and analysis of temporal information is immature, while there is geographic information system (GIS) which is integrated environment for spatial information analysis. Additionally, basic data, corresponding to base map and gazetteer for spatial information, is not available for temporal information. Needless to say, temporal information is an essential element in various scientific fields, and is important to link between different kinds of data in interdisciplinary studies such as area study and environmental study. In this paper, activities of HuTime project which is trying to develop software tools and to construct basic data for visualization and analysis of temporal information are introduced.

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Characterizing Scenes in Field Note:Knowledge Processing Using Vocabulary

Taizo YAMADA

2015 Volume 25 Issue 4 Pages 315-324
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_028

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　Field note consists of observation notes, locations, dates, drawings and images of fields which were observed by researchers of Area Studies. The note is one of important research resources for Area Studies, because it enables to understand details of the states of the field at the time. Due to progress of Area Studies we have explored some methods and/or techniques to utilize the note efficiently and effectively. In the paper we introduce a method which a scene described in the note can be characterized by text mining technique, and a method which the characterized scene can be represented by semantic web technique.

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Past and Future of Area Informatics －from practices in the CIAS, Kyoto University－

Akihiro KAMEDA

2015 Volume 25 Issue 4 Pages 325-332
Published: December 12, 2015
Released on J-STAGE: March 11, 2016

DOIhttps://doi.org/10.2964/jsik_2015_029

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　In This paper, I described researches in Area Infomatics domain, mainly related with Center for Integrated Area Studies, Kyoto University. For structurizing those researches, 4 components (information architecture / processing software / ontology and knowledgebase / area data) and 3 axis (topic / spatial / temporal) are introduced. Related technical trend is also surveyed, and, based on that, future of Area Informatics is also described.

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