شماره ركورد كنفرانس :
3541
عنوان مقاله :
A Hybrid method for Evaluating Semantic Similarity of Words Based on Ontology
Author/Authors :
Fereshteh Nejatpour Department of Electronic and Computer Engineering - University of Shiraz, Shiraz, Iran , Mohammad Hadi Sadredini Department of Electronic and Computer Engineering - University of Shiraz, Shiraz, Iran , Reza Akbari Department of Computer Engineering and Information Technology - Shiraz University Technology, Shiraz, Iran
كليدواژه :
Glosses , Information Content , Lexical Similarity , Structural Similarity , Semantic Similarity
عنوان كنفرانس :
همايش بين المللي علوم كامپيوتر و مهندسي نرم افزار
چكيده لاتين :
Semantic Similarity is considered as an important component of
many applications such as Natural Language Processing, Information Retrieval,
Text Clustering and etc. This paper presents a new method for evaluating the
semantic similarity of words based on ontology. Ontology development in
many field and its structural features has led to be used as an effective
knowledge-base in proposed method.
In this paper, we introduce a hybrid method that computes similarity considering
both structural features (shortest path between two nodes, neighbors, hyponym
and etc.) and glosses of entity. Finally, we use WordNet and evaluate
this work related to human similarity scores. The results are given to demonstrate
the effectiveness of our approach against related work.
