Learning for human-agent collaboration on the semantic web

Sachiyo Aral*, Toru Ishida

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Semantic Web is a challenging framework to make Web information machine readable or understandable, but it seems not enough to make human's requirements for collecting and utilizing information automatically. The Agent technology becomes hopeful approach to bridge the gap between humans and machines. Agents may be autonomous and intelligent entities that may travel among agents and human. They get the requirements from human or other agents, and offer an appropriate solution through consulting among them. The main difference between agent and ordinary software development is the issue of coordination, cooperation and learning. This issue is very important for utilizing the web information. In this paper, we attempt to give an overview and research challenges with respect to the combination of machine learning and agent technologies with Semantic Web from the perspective of interaction as well as interoperability among agents and humans.

本文言語English
ホスト出版物のタイトルProceedings - International Conference on Informatics Research for Development of Knowledge Society Infrastructure, ICKS 2004
編集者T. Ibaraki, T. Inui, K. Tanaka
ページ132-139
ページ数8
出版ステータスPublished - 2004 12月 27
外部発表はい
イベントProceedings - International Conference on Informatics Research for Development of Knowledge Society Infrastructure, ICKS 2004 - Kyoto, Japan
継続期間: 2004 3月 12004 3月 2

出版物シリーズ

名前Proceedings - International Conference on Informatics Research for Development of Knowledge Society Infrastructure, ICKS 2004

Conference

ConferenceProceedings - International Conference on Informatics Research for Development of Knowledge Society Infrastructure, ICKS 2004
国/地域Japan
CityKyoto
Period04/3/104/3/2

ASJC Scopus subject areas

  • 工学(全般)

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