4.7 Article

From social computing to reflexive collective intelligence: The IEML research program

期刊

INFORMATION SCIENCES
卷 180, 期 1, 页码 71-94

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2009.08.001

关键词

Collective intelligence; IEML; Semantic space; Semantic tagging; Semantic interoperability; Translation; Metalanguage; Web of data; Philosophy

资金

  1. Canadian Federal Government
  2. Social Sciences and Humanities Research Council of Canada
  3. Korea Science and engineering foundation [R33-2008-000-10109-0]
  4. Ministry of Education, Science & Technology (MoST), Republic of Korea [R33-2008-000-10109-0] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

The IEML research program promotes a radical innovation in the notation and processing of semantics. IEML (Information Economy MetaLanguage) is a regular language that provides new methods for semantic interoperability, semantic navigation, collective categorization and self-referential collective intelligence. This research program is compatible with the major standards of the Web of data and is in tune with the current trends in social computing. The paper explains the philosophical relevance of this new language, expounds its syntactic and semantic structures and ponders its possible implications for the growth of collective intelligence in cyberspace. (C) 2009 Elsevier Inc. All rights reserved.

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