A semantic approach to access heterogeneous data sources: the SEWASIE Project

نویسندگان

  • S. Bergamaschi
  • M. Vincini
چکیده

SEWASIE is implementing an advanced search engine that provides intelligent access to heterogeneous data sources on the web via semantic enrichment. This can be thought of as the basis of structured secure web-based communication. SEWASIE provides users with a search client that has an easy-to-use query interface, and which can extract the required information from the Internet and to show it in a useful and user-friendly format. From an architectural point of view, the prototype will provide a search engine client and indexing servers and ontologies.

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تاریخ انتشار 2003