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Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary

by Alaa Qasim Mohammed Salih
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 6
Year of Publication: 2013
Authors: Alaa Qasim Mohammed Salih
10.5120/11090-6042

Alaa Qasim Mohammed Salih . Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary. International Journal of Computer Applications. 66, 6 ( March 2013), 24-28. DOI=10.5120/11090-6042

@article{ 10.5120/11090-6042,
author = { Alaa Qasim Mohammed Salih },
title = { Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 6 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number6/11090-6042/ },
doi = { 10.5120/11090-6042 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:39.777620+05:30
%A Alaa Qasim Mohammed Salih
%T Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 6
%P 24-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main challenge in the area of Information Retrieval (IR) and Natural Language Processing (NLP) is the characteristics of synonymy and polysemy that exist in words of natural language. The capability of natural language interfaces to the semantic search engine can be improved by both the knowledge extraction and semantic data. The combining of information can make the integration and sharing of distributed data sources easily. This will assist the user to have the required information efficiently and easily. In this paper, some concerns of evolving algorithm to capture the semantic similarity among sentences based on WordNet semantic dictionaryis presented. The proposed algorithm will be relying on a number of resources including Ontology and WordNet.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Annotation metadata Ontology Semantic Web server XML RDF and OWL

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