属性オントロジーの抽出と統合を用いた実空間と情報空間のナビゲーションシステム (「オントロジーの基礎と応用」)

概要

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We propose a two-way navigation system, Canopy, for the real space and the information space. Canopy expresses the real space with live remote images taken by Internet cameras. We move in the real space with controlling camera angles and with selecting objects on maps. Canopy also handles the Web information space. We move in the information space with selecting links to another page, with menus and with retrieving some pages. Canopy provides not only those navigations but also the one between two spaces. If we move in the real space or in the information space, Canopy navigates us in the other space. Because the structures of two spaces are different, these navigation functions are useful. Canopy automatically integrates information in both spaces to achieve two-way navigation. It extracts a hypothetical ontology form a table in a HTML document, then integrates it with the stable ontology of map information. Ontologies are integrated by the EBFM technique wer developed. We also propose this information integration method for Web pages and real space information such as maps and camera images.
社団法人人工知能学会の論文
1999-11-01