The Search Condition Preprocessing Method Of Mold Experiential Knowledge

With the development of science and technology, enterprises pay more and more attention to knowledge. The search engine is undoubtedly the better choice when obtain the knowledge. The professional knowledge which the enterprise needs, the vertical search engine is undoubtedly the better choice, but the vertical search engines also has its drawbacks, such as vertical search engines started late, cost relatively high, so most areas have no vertical search engines.Knowledge on the internet mostly based on unstructured form, and general search engines on unstructured information processing capacity is low, while its digging depth of professional knowledge is not enough, it is difficult to accurately search for the required professional knowledge. Mold experiential knowledge is crucial for the development of enterprises to help enterprises improve their ability to solve problems quickly, management, innovation; so to the experiential knowledge as the research object in this paper, carried out relevant research in order to be able to mold enterprise played a little help.To solve the above problem, this paper put forward a series of methods for pretreatment of search conditions, make the user’s search condition after pretreatment, converted to the new specification of search conditions, and this new search condition on the general search engines can more quickly and accurately search the required professional knowledge.First. Research the general search engine how to work, and master the general rule of search, let the late to establish the semantic framework of having a certain theoretical basis, can be better and more accurate service for the user; at the same time analysis of the current more popular several general search engines, and the existing problems in the general search engine has carried on the study.Second. Have a in-depth research to the mold experiential knowledge characteristics, analysis of the basic characteristics of the mold empirical knowledge, and combined with previous research in the laboratory brothers and sisters apprentice, determine the basic characteristics of the mold experiential knowledge.Third. According to the general search engine works and the basic characteristics of the experiential knowledge of mold, bring the search condition semantic framework which for the mold experiential knowledge, and through experiment prove that the user’s search condition is converted by the semantic framework of the new search condition can be more accurate search the knowledge of the user needs.Forth. Learning and analysis the word segmentation algorithm of the predecessors’ research, combined with the mold empirical knowledge of the basic characteristics and the established semantic framework, puts forward a improved word segmentation algorithm, realize the word extract the search conditions.Fifth. Based the above research, design and develop a search condition pretreatment system, realize to the search condition match the semantic framework, Chinese automatic word dictionary intelligent learning.