Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17646
Title: Semantic Sky: A Platform for Cloud Service Integration based on Semantic Web Technologies
Authors: Jovanovik, Milos
Trajanov, Dimitar 
Stojanov, Riste 
Zdraveski, Vladimir 
Ristoski, Petar
Georgiev, Marjan
Filiposka, Sonja 
Keywords: Semantic Web Technologies, Cloud Services, Named Entity Extraction, Automation of Processes
Issue Date: 5-Sep-2012
Publisher: ACM
Conference: Proceedings of the 8th International Conference on Semantic Systems
Abstract: These days, the number of data sources an ordinary computer user works with every day is very large and continues to grow. With the increasing number of cloud services with specialized functionalities, the users are faced with the necessity to routinely perform manual actions to interchange data among different cloud and web services, in order to perform more complex and composite actions. These actions always require a certain amount of dedicated time from the user, who has to change the context in which he work, in order to take the actions and transfer data from one system to another. In this paper, we present a software platform, based on the concepts and technologies of the Semantic Web, which provides the users with a unified and simple composite approach to the different services they use, and crates a simple flow of information from one infrastructure to another. The system is able to automatically discover the context in which the user is working, and offer him the actions which can be used over the data within the context. In this way, the user can completely focus on his tasks in his work environment, and get relevant information and possible actions in that context. This system DXWRPDWHV WKH H[HFXWLRQ RI WKH XVHUV¶ WDVNV ZKLFK OHDGV WR improvements in their productivity, information exchange and efficiency. The system is called „ Semantic Sky“ and represents a platform where many cloud services are interconnected by the use of semantic web technologies.
URI: http://hdl.handle.net/20.500.12188/17646
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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