HierarSearch:Enhancing Performance of Search Engines by Mining Semantic Relationships Among Results  

作　　者：Qian Liu Hongzhi Wang Shaoying Song 

机构地区：[1]Harbin Institute of Technology,Harbin,China

出　　处：《国际计算机前沿大会会议论文集》2016年第2期57-58,共2页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

摘　　要：Web has a plethora of information.Modern search engines(such Google,Bing)can retrieve web pages based on keywords and return them in a ranking list.However,users with little knowledge in a certain domain would have difficulty in finding appropriate keywords to retrieve the web pages they intend to find.What’s more,little interaction with search engine restrains users to do further investigation among the results.If users want to refine their queries,no assistance about potential related concepts/instances is provided.In this paper,we introduce a new search engine:HierarSearch,which enhances performance of search engines by providing an interactive keyword hierarchy generated from webpages retrieved.Users can interact with the tag cloud keyword hierarchy to know the semantic relationships among results,and also refine queries by selecting keywords in tag cloud.HierarSearch would generate refined keywords query“intelligently”with the help of a very large database,which understands human world.

关 键 词：Information RETRIEVAL KNOWLEDGE base Data MINING 

分 类 号：C5[社会学]