Pan Yue
IBM China Research Center Doctoral Knowledge Management Technology is the basis for achieving effective knowledge management, which is a technical system to assist people identify, acquire, store, decompose, utilize, deliver and expand knowledge. It includes very many technical content, most importantly, document management technology, text mining and retrieval technology, corporate knowledge portal technology, etc. Main Technology (1) Document Management Technology. Document Management in Knowledge Management Technology is not the file management in information technology, more similar to file management. It has functions such as classified archiving, external feature management, keyword management. Classified archiving functions are used to include various gender documents into the document management system of the knowledge management system, including various documents generated in business operations such as newsprints, product manuals, design materials, demo documents, and work reports, and the system can also List the above documents in the directory, open, and edit. The external feature management function can automatically extract the external features of the document and allow the search to be retrieved by document. Key words management functions allow users to give keywords for documents to retrieve. (2) Text excavation and retrieval technology. Search technology usually takes two options: First, the document is classified into an ordered structure, and then extracts documents (retrieved) according to the structural rules, which is also known as text mining; another solution is not To establish a structure, when searching, the user freely inputs the search term or phrase, matches the system, and supplies the matching document to the user according to the frequency of the frequency, the full-text search. The structured scheme itself can be divided into two: First, the machine automatically establishes an orderly structure according to a certain algorithm according to the document characteristics, and the document is classified into the structure; the second is artificially established, and then manually will be classified. structure. The representative of the first method is the text Miner of IBM. (3) Enterprise knowledge portal technology. Corporate knowledge portal has now become a standard configuration of a knowledge management system. For users, enterprise portals are the only interface of the information system, and everything in daily work can be done in the enterprise portal. For example, you can open a variety of documents in the enterprise portal to edit, access the database, access Internet, and intranet, send and receive mail, enter workflow operations. Enterprise portals can also be customized according to different needs. In short, enterprise portals try to integrate increasingly complex applications to a unified platform. In terms of knowledge management technology in Chinese is the largest language in the world, but modern information technology contributes to Chinese far behind other languages. Mature, leading knowledge management technology is targeted on language, French, etc. Lower than other languages. In addition, the management system of Chinese companies is very different from the West, so it is necessary to develop some technologies for Chinese knowledge management. IBM has been committed to the study of Chinese natural language understanding, and based on this research, it has developed a series of technologies for Chinese knowledge management, including Chinese intelligent retrieval technology, Chinese summary intelligent generation technology, Chinese text automatic classification technology, Chinese Text Automatic Clustering Technology, Chinese Topic Detection and Tracking Technology and Chinese Text Differentiation and Similar Retrieval Technology. In these techniques, IBM adopts the latest natural language processing algorithm. Chinese intelligent retrieval technique: generally includes index creation, query processing, and result sorting. In order to improve the speed and accuracy of Chinese retrieval, IBM's Chinese intelligent retrieval technology uses advanced Chinese processing technology during the entire process of retrieval, and considering the use of end users, enabling query results to satisfy the results. User requirements, thereby improving user query efficiency. Text Automatic Classification Technology: Users only define the architecture of the classifier in advance, and after proper training, the system can automatically classify the new text according to the content of the classifier. When classifying, in addition to the statistics of the previous training sample, the user can specify a reference to the special rule for classification. This technology can be applied in multiple fields. Text Auto Clustering Technique: You can make users fast and rough classification for a large number of articles. Through this technology, users can quickly classify a large number of articles.
