A New Architecture for Email Knowledge Extraction
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International Journal of Web & Semantic Technology (IJWesT)
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#web #semantics #nlp #ontology #semanticquery #webservice
ISSN : 0975 - 9026 ( Online ) 0976- 2280 ( Print )
https://www.airccse.org/journal/ijwest/ijwest.html
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A New Architecture for Email Knowledge Extraction
Authors
Majdi Beseiso1, Abdul Rahim Ahmad2 and Roslan Ismail2,1Yanbu University College, Saudi Arabia and 2Universiti Tenaga Nasional (UNITEN), Malaysia
Abstract
The Semantic Web was designed to represent the enormous data that is existing on the World Wide Web in a machine readable format. The research shows the long period of time that was spent on the Emails for communication and information exchange. Adding the semantics to the existing Email systems could not only provide for the valuable usage of time and resources, but also refreshes the meaning of Email communication. The presented research work examines the ontology extraction process from the Email systems adopting scalable pattern rules that is based on the extracted techniques. The proposed architecture is designed to handle the unstructured Emails and the ontologies that are extracted from the Email which is divided into four main components as follows: the Ontology Learning Component, the Management Component, the Semantic Email Component and the Client Side Plugin.
Keywords
Ontology Learning, Ontology Extraction, Semantic Web, Semantic Email
Source URL :
http://airccse.org/journal/ijwest/papers/3312ijwest01.pdf
Volume URL :
https://www.airccse.org/journal/ijwest/vol3.html
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