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Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary
| 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
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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