DeepAI AI Chat
Log In Sign Up

An enhanced method to compute the similarity between concepts of ontology

by   Noreddine Gherabi, et al.

With the use of ontologies in several domains such as semantic web, information retrieval, artificial intelligence, the concept of similarity measuring has become a very important domain of research. Therefore, in the current paper, we propose our method of similarity measuring which uses the Dijkstra algorithm to define and compute the shortest path. Then, we use this one to compute the semantic distance between two concepts defined in the same hierarchy of ontology. Afterward, we base on this result to compute the semantic similarity. Finally, we present an experimental comparison between our method and other methods of similarity measuring.


page 1

page 2

page 3

page 4


A New Similarity Measure for Taxonomy Based on Edge Counting

This paper introduces a new similarity measure based on edge counting in...

3D Model Retrieval Based on Semantic and Shape Indexes

The size of 3D models used on the web or stored in databases is becoming...

A Parametric Similarity Method: Comparative Experiments based on Semantically Annotated Large Datasets

We present the parametric method SemSimp aimed at measuring semantic sim...

A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance

Measuring similarity between patents is an essential step to ensure nove...

A density compensation-based path computing model for measuring semantic similarity

The shortest path between two concepts in a taxonomic ontology is common...

Evaluating the Complementarity of Taxonomic Relation Extraction Methods Across Different Languages

Modern information systems are changing the idea of "data processing" to...

Semantic Similarity Measures Applied to an Ontology for Human-Like Interaction

The focus of this paper is the calculation of similarity between two con...