Ontology based P2P Semantic Search Routing Algorithm

Aiming at existing deficiencies such as low text semantic relevance degree in P2P context search, an Ontology-based P2P Content Semantic Search Routing Algorithm is developed. In this algorithm, texts are described as ontology and concepts are mapped from K- High Frequency Term. Concept Similarity is calculated by semantic distance between concepts to from concept relevance overlay and locate semantic peers. Based on the concept relevance overlay, search requests are routed to the semantic peers firstly in order to search more semantic relevance resource by less time and network traffic. Finally, the experiment was done to validate the efficiency and validity of Ontology based P2P Content Semantic Search Routing Algorithm, in which the result had shown that the algorithm is much better than Simple Flooding in semantic relevance degree of text.