Query-Based Ontology Approach for Semantic Search

During the last decade, the rapid advance of information technology, especially on the World Wide Web (WWW), has made the Internet available for people to share and acquire information easily. However, due to the enormous Web pages the Internet contains, users spend most of time in browsing and skipping the documents they have searched. From time to time, an easy question costs a user a lot of time to find the answer. To sooth this pain, this paper proposes a knowledge acquisition system which dynamically constructs query-based ontology to provide answers for users' queries. To construct the relationships and hierarchy of concepts in an ontology, the formal concept analysis (FCA) approach is adopted. After an ontology is built, the system can infer the answer without asking users to read the whole document sets. NBA Sport news pages are used as source documents in this paper; while the approach can be used in any domain. One of the distinguish advantages of this approach is that there is no need to construct a complete domain ontology, which is not feasible for a dynamic knowledge base, to which new documents are added with high frequency.