Researching On The Subject Intelligent Meta Search Engine In Answering System

The thesis analyzes answering ways of internal answering system and compares answering-question resource database of internal answering system with foreign answering system. Aim for the disadvantage that answering system can't effectively make use of Internet Information resource for answering question, the thesis give expression to idea that expand answering-question resource database to Internet and make use Internet information resource for answering question.Answering system need a web Information Retrieving System for search and locate useful information. So, Researching web Information Retrieving System suited for answering system is the thesis's key. Analyzing technologies of present web Information Retrieving System and considering feature of answering system, the thesis chooses meta-search engines technologies for answering system.The thesis starts from the concepts and type of meta-search engines and analyses system mechanism and introduces their key technologies, realizing principles and developmental status. On the basis of research intelligent automatic answering system, subject and intelligent meta search engine (SIMSE) was put forward for achieve the idea that making Internet information resource become answering system subsidiary resource. The model achieves the idea that Internet information resource be made use for answering question. It provides a new way of answering question for answering system.SIMSE model accomplishes conception enlargement of retrieve request and fuzzy clustering through fuzzy math theory and domain knowledge database. On the basis of search engines knowledge database, the system makes a fuzzy comprehensive evaluation of member of search engines and implements dynamic tactic base on topic for member of search engines. SIMSE model accomplishes management of member of search engines through search engine parameter database and researches and improves results merging approaches. At last, the thesis evaluates SIMSE model performance.At the end of this thesis, the disadvantages of SIMSE model and the future development of meta-search engines are discussed.