Abstract: A method of evaluating a value of reference information and an apparatus for evaluating a value of reference information are disclosed. According to an embodiment of the present invention, the method includes calculating similarity values of reference relationships between the subject document and each of neighbor documents, respectively, and summing the calculated similarity values to calculate a first sum, multiplying each of the similarity values of reference relationships between the subject document and each of the neighbor documents by a corresponding value of reference information of the first reference document for each of the neighbor documents, and summing the multiplied values to calculate a second sum, and evaluating a value of reference information using a ratio of the first and second sums.

Abstract: A method for providing information about a main knowledge stream is disclosed. According to an embodiment of the present invention, the method includes obtaining reference links representing reference relationships among reference documents in each of a plurality of documents stored in a database, determining one or more basic paths connecting the reference links, calculating probability values of the reference links by overlapping the determined basic paths, determining a first document among the documents and an input reference link associated with the first document, and performing a Markov chain model using a probability value of the input reference link, and calculating information about the main knowledge stream associated with the first document using the result obtained by performing the Markov chain model.

Abstract: The present invention relates to an information analysis system comprising: a summary table creation unit for analyzing an input file if the file is inputted, extracting a field list corresponding to the field list information stored in a provided database, and creating a summary table including the extracted field list; a preprocessing module for performing a preprocess including at least one of field refinement, group creation, and sub-data set creation, for fields of the summary table created by the summary table creation unit; a matrix creation unit for creating a matrix based on matrix setting information inputted by a user, for the fields created by the summary table creation unit or the preprocessing module; a cluster analysis unit for analyzing a cluster of corresponding fields according to a cluster analysis method inputted by the user, for fields selected by the user among the fields created by the summary table creation unit or the preprocessing module; and a visualization data creation unit for cr