期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：2
出版社：IJCSI Press
摘要：In this paper, an information retrieval method based on knowledge reasoning that tightly integrates description logic reasoning and traditional information retrieval technique is proposed. The method expresses the user\'s search intention by description logic to infer the user\'s search object. Further, fuzzy describing logic is introduced to confirm the relations between Web pages and user\'s search requirement. In order to calculate the semantic similarity, we take property values and multi-inheritance of entities into consideration, and optimize the computing process based on the tree structure of inheritance relationship.When the instance multiple inheritances are relatively complex, the accuracy rate is more pronounced than existing methods.The experimental results show that the scheme proposed in this paper can calculate semantic similarity more accurately even in ontology-based knowledge base.
关键词：Knowledge Reasoning; Information Retrieval; Fuzzy Description; Tree;structured; Multi;inheritance;Semantic Similarity
