Title of article :
Collective knowledge systems: Where the Social Web meets the Semantic Web
Author/Authors :
Gruber، نويسنده , , Tom، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
Summary
an happen if we combine the best ideas from the Social Web and Semantic Web? The Social Web is an ecosystem of participation, where value is created by the aggregation of many individual user contributions. The Semantic Web is an ecosystem of data, where value is created by the integration of structured data from many sources. What applications can best synthesize the strengths of these two approaches, to create a new level of value that is both rich with human participation and powered by well-structured information? This paper proposes a class of applications called collective knowledge systems, which unlock the “collective intelligence” of the Social Web with knowledge representation and reasoning techniques of the Semantic Web.
Keywords :
Structured and unstructured data , Travel recommendation engine , Web 3.0 , Learning from semistructured data , Collective intelligence , Collected intelligence , Collective knowledge systems , Human–machine systems , Snap-to-grid , TagCommons , RealTravel
Journal title :
Web Semantics Science,Services and Agents on the World Wide Web
Journal title :
Web Semantics Science,Services and Agents on the World Wide Web