Human-Centered Semantic Web

目前提出的基本语义网技术侧重于以计算为中心的技术，缺乏对创建和使用内容的人类用户的考虑。为了使语义网取得成功，我们需要以人为中心的技术来弥合人类社会对Web的使用与语义网所采取的以计算为中心的方法之间的差距。这是在假设很难精确构建本体的情况下完成的。从Web上现有的数据和信息中提取本体，重点是自动提取具有特征类别的关键字，以及从表格中半自动地提取本体。此外，还研究了如何组织已有的本体来辅助人类进行新的本体设计，并在大阪大学开发了一个全面支持分布式本体构建的计算环境。考虑到构建以人为中心的语义网的本体需要融合和映射小规模的分布式本体，东京大学开展了不同文化成员之间协作/协商本体的表现和发展研究，并在此基础上开展了促进语义网研究的活动。日本人工智能学会下属的语义网与本体特别兴趣小组(SIG-SWO)的活动不断推进和推进。作者还在组织2004年在日本举行的国际语义网会议中发挥了核心作用。此外，石田彻还担任了2003年在埃尔塞维尔领导下创办的《网络语义学杂志》的联合主编。

Fundamental Semantic Web technologies proposed to date focus on computation-centered technologies which lack consideration for human users who create and use contents.In order for the Semantic Web to succeed, we need human-centered technology that bridges the gap between Web usage in the human society and computation-centered approach taken by the Semantic Web.With this in mind, we established three bases and conducted the following researches.At Kyoto University, ontology extraction from human-created contents was investigated. This was done with the assumption that precise ontology construction is difficult. Ontology extraction from existing data and information on the Web was addressed with a focus on automatic extraction of keywords that feature categories, and semi-automatic ontology extraction from tables. Furthermore, organizing existing ontologies to assist humans in new ontology design was studied.At Osaka University, a computing environment which comprehensively supports distributed ontology construction was developed. This was done with the consideration that ontology construction for the human-centered Semantic Web requires merging and mapping of small-scale distributed ontologies.At Tokyo University, research on manifestation and development of collaboration/negotiation ontologies for collaborative work between members of different cultures was conducted.Activities to promote Semantic Web research were also carried out in parallel with the above researches.Activities by the Special Interest Group on Semantic Web and Ontology (SIG-SWO) under the Japanese Society of Artificial Intelligence were continuously promoted and advanced. The authors also played central roles in organizing the 2004 International Semantic Web Conference in Japan.Moreover, Toru Ishida served as the founding joint-editor in chief for the Journal of Web Semantics which launched in 2003 under Elsevier.