Domain Ontology-based Intelligent Information Retrieval in Knowledge Grid
知识网格中基于领域本体的智能检索

Intelligent information retrieval model based on domain ontology is proposed in this paper.Domain knowledge is described with OWL DL language,which supports reasoning and uses deep semantics to guide the process of retrieval.Annotation and query optimization are two critical technologies in information retrieval.The annotation of document segments is implemented with formal definition of concepts and inter-relationships of concepts in domain ontology."Topic-Concept" Disambiguation algorithm is suggested to solve the problem of polysemy in natural language processing.Query optimization algorithm is put forward to perform automatic expansion for users' query with reasoning mechanism of OWLDL.Based on the above technologies,ontology-based intelligent retrieval is realized in aerospace domain.The evaluations show that the effectiveness of retrieval can be improved with the ontology-based retrieval method,compared with traditional retrieval method based on keyword matching technologies.