SERSE : Searching for Semantic Web Content Tracking number : C 0176

@inproceedings{SERSES,
  title={SERSE : Searching for Semantic Web Content Tracking number : C 0176},
  author={}
}
    Searching the Semantic Web (SW) for digital content is arguably more complex than searching the current web. In fact, a SW search system must deal with a large number of distributed, heterogeneous resources, that may reference many different ontologies. In order to manage this complexity we have integrated different technologies such as peer-to-peer, ontologies, and multi-agent technology in the design of SERSE, a multi-agent system for searching the SW. In SERSE, agents are organised in a P2P… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 15 REFERENCES

    The SWAP data and metadata model for semantics-based peer-to-peer systems

    M. Ehrig
    • Proceedings of MATES-2003: First German conference on multiagent technologies,
    • 2003
    VIEW 1 EXCERPT

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