The Research on Modeling Document Summarization for Audio-Based Knowledge Management
There exists great text information on the internet, and there is still big unknown area in the inspection of the information. How to analyze, forecast and inspect the information will be a new issue in the field of information security. The paper, based on the calculation of semantic comparability in the how-net, proposes a series of method for calculating the semantic similarity and thus identifying the features of the text. Development of algorithms for automated text categorization in massive text document sets is an important research area of data mining and knowledge discovery.