首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Semantic Web Applications for the Social Sciences
  • 本地全文:下载
  • 作者:Thomas Bosch ; Benjamin Zapilko
  • 期刊名称:IASSIST Quarterly
  • 印刷版ISSN:0739-1137
  • 出版年度:2015
  • 出版社:International Association for Social Science Information Service & Technology
  • 摘要:In recent years, Semantic Web technologies have matured and have made their way into various domains – for example, bioinformatics and eGovernment -- where they are used in different applications to provide value-added services for users. In this paper, we present an overview of several representative applications that use Semantic Web technologies and show the potential of these technologies in the Linked Data world. We then present existing Semantic Web applications specifically for the social sciences and highlight their impact on this domain. Integrating the Semantic Web vision into the social sciences results in clear benefits, which we identify and discuss.
  • 关键词:Semantic Web; Linked Data; Semantic Web ; Applications; Social Sciences
国家哲学社会科学文献中心版权所有