Proposal of support tools for analyzing RDF database using TETDM

This paper proposes support tools for analyzing RDF (Resource Description Framework) database, which are developed using TETDM (Total Environment for Text Data Mining). The RDF (Resource Description Framework) is known to be suitable for processing unstructured data and linking distributed data. Therefore it has been widely used recently. One of typical application of RDF is LOD (Linked Open Data), which encourages to make data public on the Web with reusable data format. Many organizations including governments all over the world are getting to open various kinds of data to the public as LOD. As RDF database has different characteristics from existing database, support tools specific to RDF database should be developed. This paper proposes three types of tools: a tool for extracting structured data with table format, and that for discovering resources connecting two different RDF databases, and that for visualizing time series data. The proposed tools are implemented using TETDM, of which practicability is evaluated by applying to several LOD resources.