Application of Artificial Intelligence in Ontology Matching
MIAO Yongchang
Abstract：Ontology matching is considered as the key to heterogeneous information integration ,and researchers have proposed many approaches of ontology matching .This paper mainly illustrates the application of the artificial intelligence idea in the ontology matching process from three aspects .First ,the elements text based similarity computing approach often process of related text with the help of natural language processing technology .Second ,the nature of ontology matching problem is one of the binary classification problems ,w hich can use machine learning methods to improve the quality of ontol‐ogy matching .Third ,the ontology partition method based on clustering algorithm ,which divides a large‐scale ontology matching task into several sub‐tasks ,effectively solves the problem of large‐scale ontology matching challenge .
Keywords：ontology matchingnature language processingmachine learningclustering
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 71-74,104 )