Domain Ontology in Information Retrieval System

作     者：Hasnain Ali Salman 

作者单位：中南大学 

学位级别：硕士

导师姓名：Xu De Zhi

授予年度：2012年

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：Keyword search methods alleviate the problem by retrieving documents that contain words specified by users. The retrieved documents are likely to contain relevant information because of the presence of words of interest. However, keyword search suffers from a number of issues. Ambiguous keywords, which have more than one possible meaning, often result in the retrieval of irrelevant documents. Alternatively, relevant documents may contain terms different from, but similar in meaning to, specified keywords. These documents will be missed in the retrieval process, in recent years ontologies have become a topic of interest in computer science Web documents are classified based on similarities determined by the ontology, which expresses the meaning structure of the Web documents’terminology information and vocabulary in a hierarchical manner. Identifying and comparing the meaning content and relationship of each document can perform document classification more accurately and efficiently The principal application area for ontologies in computer science today is in the application of semantic technology to number of application areas this semantic technology has been developed as part of the W3C semantic web. The world of semantic web is progressing slowly but constantly. Ontologies, needs to be focused and new techniques are required to be developed relating to it. As a result the alignments produced are not as close or not as good as they should be. Traditional techniques use multiple strategies and combine the results by assigning fixed weights to each strategy, while in actual the ontologies are semantic in nature so the weights should also be assigned according to their semantics. We propose the concept of conditional information quantity which modifies formulas for computing similarity and set the weights according to the semantic contexts of strategies. To achieve an understanding of requirements for ontology-based services, high-level needs of different users g