Ontology-based approach for document semantic similarity using concept map
by Poonam Chahal; Manjeet Singh
International Journal of Intelligent Systems Design and Computing (IJISDC), Vol. 2, No. 3/4, 2018

Abstract: Ontology plays an important role in the process of semantic similarity computation. To extract the relevant and important information from a given document it is necessary to understand the semantic associated with the document. This understanding of semantic information comes through the concepts representing the words that are present in the given documents. These concepts and relationships between these concepts are used to construct the concept map which is the first step in the construction of ontology of a document. However, to extract the concepts and their relationships, the document set of words needs to be considered. These set of words further represents the concepts which are then used in the document ontology construction process. Finally, the matching process of constructed document ontology is applied to find the semantic similarity between any two given documents. However, it can be possible that a concept present in different ontologies may give different meaning depending upon the domain of the document. In our approach of document similarity, we provide a novel method of construction of document ontology based on concept map for computation of similarity between any two given documents.

Online publication date: Wed, 23-Jan-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Design and Computing (IJISDC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com