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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
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
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.