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.
Highlights
INTRODUCTIONThe Email is one of the essential feature of the internet, that is being utilized by a great number of users
AND RESEARCH CHALLENGESThe Email is one of the essential feature of the internet, that is being utilized by a great number of users
The abundance in Emails and the lack of assistance from the Email clients will certainly lead to losing tracks of information contained in the Emails
Summary
The Email is one of the essential feature of the internet, that is being utilized by a great number of users. Some Email services could integrate with other systems, such as Microsoft Sharepoint, to organize collaborative tasks. These functionalities are still not mature in that most of the time, tedious manual work is still inevitable especially when the Email archive is large and not well organized. We believe that ontology learning and IE together could help to solve the Email overload and task collaborative problems for users by providing automatic semantic annotations for. The specific domain ontology will not be sufficient to cover all the aspects, while the generic ontologies on a very high abstract level cannot extract enough information. The architecture will be presented (Section 4). (Section 5 & 6) give the evaluation and the conclusion
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