SYSTEM AND METHOD FOR BUILDING AN EVOLVING ONTOLOGY FROM USER-GENERATED CONTENT

摘要

A method and system for constructing an evolving ontology database. The method includes: receiving a plurality of data entries; calculating semantic similarity scores between any two of the data entries; clustering the data entries into a multiple current themes based on the semantic similarity scores; selecting, new concepts from the current themes by comparing the current themes with a plurality of previous themes prepared using previous data entries; and updating the evolving ontology database using the new concepts. The semantic score between any two of the data entries are calculated by: semantic similarity score=Π_i=0ⁿs_ie^{Σ_j=0kw_j×f _j}, where s_i is weight of features sources, f_j is a feature similarity between the two of the data entries, w_j is a weight of f_j, and j, k and n are positive integers.