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The explosive growth of content makes it difficult for end-users to find data that they want. Keyword-based searches are brittle - they require the user to know the set of keywords that the system is using, and are ineffective for finding data based on meaning. This paper describes a new hierarchical overlay model
The structure has been put forward of P2P systems are strictly based on the keyword matching to find the way of routing resources, so the routing mechanism will not be able to reflect the massive, distributed resources, and semantic information, thus reducing the precision of service discovery and search prospective
number of users with diverse characteristics and needs. Currently, many research projects or practical applications have emerged which only support single keyword search, and few of them support semantic retrieval. In this paper, we propose a model of ontology-based semantic information retrieval systems according to hybrid
distributed inverted index by concept for documents. Based on them, semantic search is implemented with inference technique of Description Logic between concept descriptions of documents and query. Simulation experiments show that our approach is much higher on retrieval perform than traditional method of literal keywords
proposing a Scheme to search information semantically over unstructured P2P network, based on ontology. The ontology best described as a formal representation of a set of words within a domain and a relationship between those words rather keywords. The ontology uses Dewey Decimal Code to facilitate the classification taxonomy
The resource query mechanism is mostly based on keywords in most P2P systems at present. It limits resources sharing to some extent. Along with the emergency of semantic web technology, sharing resource at the semantic level in P2P system becomes a new hot topic. Based on ontology technology, the integrated model and
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