Research on Intelligent Semantic Search Base on HowNet

The HDWiki is same as the famous Wikipedia but major in Chinese include vase investment of manual effort and judgment, we divided this structured information into three categories: concept, relationship and entity. This paper describe a novel symbol oriented search that facilitate user to format unambiguous query, especially to format complex logical query which need several query to get answer on traditional search but just once here, it is building a bridge between what user know and what user wished, between the intent of user query and the understanding of search engine. This facilitation and understanding base on the ternary relationships what are everywhere in the HDWiki and HowNet powered semantic similarity measure for knowledge matching. We realize a logical semantic oriented search system and conducted a detailed user study with users, and found that this logical semantic oriented search and its underlying knowledge base provides significant advantages over conventional search. It offers assistance to almost every query especially complex logical queries, making the query entry more clear and efficient for user as well as for search engine, broadening the processing scope of complex logical query in the search, improving the relevance of the searched documents, and increased the probability of getting what user wished.