Web search and information credibility analysis: bridging the gap between Web1.0 and Web2.0

ABSTRACT

As computers and computer networks become more common, a huge amount of information, such as that found in Web contents including multimedia content (images, videos etc.), has been accumulated and circulated. Such information gives people a framework for organizing their private and professional lives. However, in general, the quality control of Web content is insufficient due to low publishing barriers. In result there is lot of mistaken and unreliable information on the Web that can have detrimental effects on users. This calls for technology that would facilitate judging the trustworthiness of content and the accuracy of the information that users encounter on the Web. Such technology should be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and other related opinions and the distribution of them, and so on. Also, as for Web search, conventional Web search engines still suffer from their low precision/recall ratio especially for searching multimedia contents (images, videos etc.). In this paper, we propose an idea to enhance conventional Web search and to analyze Web information credibility by bridging the gap between Web 1.0 contents and Web 2.0 contents. Based on the idea, we overview our research activities on Web search and their information credibility.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing

General Terms:
Algorithms

Keywords:
information credibility analysis, multimedia contents, overview, web search