Research And Application Of The Knowledge Push Based On Similarity

In integrity of the era of knowledge economy, create the value of the model from theprevious have shaped capital knowledge without shape capital knowledge to change, theeffective use of knowledge has become a model different from agricultural economy,industrial economy form that is in the knowledge economy, in the knowledge explosiontoday, as the people in the century, we need from the ocean of knowledge of how toefficiently obtain business or organizational knowledge? Make the application of the eraof knowledge economy, knowledge has become an important topic of enterprisedevelopment and social progress. With the rapid development of informationtechnology, especially the popularization and application of the Internet webpage, theinformation is presented in an explosive way in front of people. The rapid surgeinformation force we need to effectively carry on the filtration or by using a new way toobtain, the ultimate objective is to continuously improve the efficiency of people findeffective content in the mass of information. At present, acquisition of knowledge is theuse of the user pull method, this method requires the user to enter a specific demandinformation, and then retrieve the knowledge from the vast knowledge base, and theinformation in the network involves a wide range of knowledge, it is easy causedinformation overload phenomenon, the knowledge push to overcome this phenomenonpush way, push not only overcome the information surplus phenomenon and can reducethe user access to knowledge to work, on the basis of the active search through changethe traditional cable to obtain information on the way to research the knowledge push,in order to improve the efficiency and accuracy of the user access to information, tomaximize the efficiency of the service knowledge management system.Specifically, we carried out and completed the following work:(1) On the text classification method is discussed and summarized in this paper, thetext classification algorithms are analyzed in detail, and the text classification based onHowNet were studied. Because the information push is the foundation of knowledge push,respectively, of the two kinds of push technology is discussed in detail.(2) The disadvantage of low efficiency of text classification method of semanticsimilarity based on an improved semantic similarity knowledge pushing method isproposed, the algorithm will concept tree in full consideration of semantic depth,experimental results show that the method has better performance than the original algorithm.(3) Based on the push method is applied to the IT enterprise knowledge managementsystem of semantic similarity knowledge (IKM), so that enterprises can quickly get trueknowledge needed to save users valuable query time, but also improve the accuracy toobtain the required knowledge. At present, the knowledge push becomes an importantmeans of providing knowledge services.