Concept Similarity Computation for Ontology in the Automatic Question-Answering System

Abstract

As the key point of the ontology research field, concept similarity computation has been widely used in the automatic question-answering systems. This paper firstly analyzes the existing concept similarity computation algorithm which is based on the semantic distance, and then proposes a new computation algorithm formula by modifying and adding some factors which can affect the accuracy of concept similarity computation. Finally, the experimental results show that the proposed algorithm offers better effectiveness for the concept similarity computation.