Fast semantic retrieval in a P2P corporate memory

  • Authors:
  • Ana B. Rios-Alvarado;R. Carolina Medina-Ramírez;Ricardo Marcelín Jiménez

  • Affiliations:
  • UAM-I, México, D.F;UAM-I, México, D.F;UAM-I, México, D.F

  • Venue:
  • Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
  • Year:
  • 2008

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Abstract

This paper outlines a semantic framework for storing and retrieving the document contents that make up a Corporate Semantic Web (CSW). After a brief overview of our basic assumptions concerning semantic overlays on Peer-to-Peer systems, we describe a Corporate Semantic Web by means of a graph G1, whose nodes represent a collection of documents having a common range of semantic indices. There exist a second graph G2 modelling a P2P storage network. Our approach consists on embedding G1 into G2. We use a metaheuristics called "Ant Colony Optimization", to solve the corresponding instances of graph embedding, which is known to be an NP-complete problem.