| The rapid development of the game industry attracts more and more specializedusers, and their access needs of game information becomes very urgent.Traditional ways of information searching can’t satisfied users’ need due to the largescale of information on the network and the old keyword matching method. Thispaper presents a semantic retrieval system in game field, combined with the SemanticWeb as the technology background, offered a more professional retrieval system forusers.This paper first presented a game ontology knowledge model based on the basisof the Semantic Web, the model includes game’s core concepts, terminology andknowledge. The model can providing a knowledge framework for semantic retrievalin game field.Then for several key issues in the game semantic retrieval system,study includes a semantic expansion algorithm in the game ontology knowledge baseof the mechanism of research and analysis, storage and reasoning mechanisms,semantic retrieval mechanism query results sorting algorithm. Followed by the gameof semantic retrieval system needs analysis, the paper carried out game semanticretrieval system design work on the basis of the traditional search engine query,presented the semantic retrieval method based on the game ontology knowledgemodel, extended to enrich the semantics of user queries on search results, and throughthe semantic weight calculated on search results to optimize sorts, and B/S modelsystem of services and management functions.Game semantic retrieval system has changed the traditional mode ofgeneral-purpose search engine, it is not only a specialized information retrievalsystems in game field,also became the initial research and application in SemanticWeb technologies in the field of small, specialized search engine. |
