Material Hub: A Semantic Search Engine with Rule Reasoning

For some special domains, if search engines only take advantage of keywords, the searchers need to mater lots of professional terms. Moreover, to refine the search interests, the professional rules and reasoning of those rules should be used. To resolving above problems, this paper focuses on extending search engines via ontology extraction and modeling, semantic rules reasoning algorithm, and feature-based ordering algorithm and related semantic technologies. A semantic search engine-Material Hub has been set up based on above research points and applied in industry. Four experiments are conducted which reveal the improvements of the accuracy and efficiency for retrieval as well as semantic rules reasoning algorithm satisfyingly contribute to an improvement in the responding time compared to other semantic reasoning algorithms.