METHOD OF EXTENDING ONTOLOGY DATA BY USING TOPIC MODELLING METHOD

摘要

According to the present invention, words are classified for each topic by using a topic modelling method and when a user forms key words and layer information in a specific topic, parse tree information is generated to extract words similar to the layer information of the key words formed by the user. In addition, word vector information (word embedding) is extracted by using the extracted words and words with high connectivity are extracted by using similarity between the key words selected by the user and the word vector information. The series of processes are repeated to extend ontology (sematic-graph) information having a layer structure and connectivity information for words of interest of the user. A method of extracting the word vector information can be changed to a parse tree method, wherein the ontology information selected by the user can be extended by using layer information of words extracted by parse analysis and applying an SVD method.;COPYRIGHT KIPO 2020