Semantic information storage and retrieval in a peer-to-peer corporate memory

The paper presents a semantic approach for storing and retrieving documents from a Corporate Semantic Web (CSW). We illustrate the approach through the embedding of two graphs G1 into G2. G1 represents the CSW and whose nodes represent a collection of documents having a common range of semantic indices. G2 represents a P2P storage network. We use ”Ant Colony Optimization” metaheuristic, to solve the corresponding instances of graph embedding.

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