Abstract: Disclosed are a method and device for calculating a correlation between notes using a database constructed on a basis of artificial intelligence, and supporting a service for the notes on a basis of the calculated correlation. A method by which a note providing device that interworks with a user terminal provides notes, includes: constructing a keyword DB by extracting a keyword from a note generated through the user terminal and reflecting a weight calculated through machine learning using the extracted keyword; and calculating a correlation score for each of a plurality of target notes correlated with a reference note using the keyword DB. Therefore, the method and device for providing the notes using the artificial intelligence-based correlation calculation can more accurately recommend the correlated notes by reflecting the interaction of the user.

Abstract: Disclosed are a method and an apparatus for de-identification of personal information. The method for de-identification of personal information comprises the steps of: obtaining, from a database, a raw table including records in which raw data indicating the personal information is recorded; generating generalized data by generalizing the raw data recorded in each of the records included in the raw table; setting a generalized hierarchical model consisting of the raw data and the generalized data; generating a raw lattice including a plurality of candidate nodes on the basis of the generalized hierarchical model; and setting, from among the plurality of candidate nodes included in the raw lattice, a final lattice including at least one candidate node satisfying a predetermined criterion. Thus, it is possible for the personal information to be efficiently de-identified.

Abstract: Disclosed are a method and device for calculating a correlation between notes using a database constructed on a basis of artificial intelligence, and supporting a service for the notes on a basis of the calculated correlation. A method by which a note providing device that interworks with a user terminal provides notes, includes: constructing a keyword DB by extracting a keyword from a note generated through the user terminal and reflecting a weight calculated through machine learning using the extracted keyword; and calculating a correlation score for each of a plurality of target notes correlated with a reference note using the keyword DB. Therefore, the method and device for providing the notes using the artificial intelligence-based correlation calculation can more accurately recommend the correlated notes by reflecting the interaction of the user.