Automatic Generation of Meta Tags for Intra-Semantic-Web

نویسندگان

  • Damir Cavar
  • Uta Störl
چکیده

Meta information in documents is very useful for the management of documents and for information retrieval. Meta information helps in search processes where necessary information is not overtly contained in the text of the document itself, or in documents that contain non-textual information. Assigning topic or keywords to documents helps in identification of relevant documents in search and retrieval processes. However, assigning keywords to documents is a problematic task for human editors. In this paper we present a solution for seamless automatic assignment of topic and keywords to documents in different formats, with the possibility to generate XMLand HTML-format documents, obeying Semantic Web standards.

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تاریخ انتشار 2002