Collective knowledge systems: Where the Social Web meets the Semantic Web

被引：241

作者：

Gruber, Tom

机构：

来源：

JOURNAL OF WEB SEMANTICS | 2008年 / 6卷 / 01期

关键词：

collective intelligence; collective knowledge systems; collected intelligence; human-machine systems; snap-to-grid; TagCommons; RealTravel; structured and unstructured data; travel recommendation engine; Web; 3.0; learning from semistructured data;

D O I：

10.1016/j.websem.2007.11.011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

What can 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. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：4 / 13

页数：10