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Typus
KomplettPlagiat
Bearbeiter
Hindemith
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 50, Zeilen: 3-30
Quelle: Vazquez 2007
Seite(n): 38, 39, Zeilen: 38: 4 ff.; 39: 1ff.
3.4 Task Computing

Task Computing3 (TC) technology is a joint effort by Fujitsu Laboratories of America and the MINDSWAP group, devoted to Semantic Web research, at the University of Maryland Institute for Advanced Computer Studies. The goal of TC is to "fill the gap between the tasks that users want to perform and the services that constitute available actionable functionality" [76]. TC presumes initially that users do not know how to achieve their goals when using computing facilities due to increased complexity at computing environments and tasks, and tries to ease the process by providing the user with an intelligent aid that hides the complexity of coordinating existing devices and services.

TC provides dynamic service discovery, service publishing and management, task creation and execution on the fly [77]. It even assists users in discovering what their goals are by suggesting possible tasks that can be performed with available facilities. All these features try to solve the frustration of users in application-rich environments, where they have to orchestrate a variety of devices and applications. Using Task Computing they can focus on their final goal and accomplish it with a reduced number of simple interactions.

Service composition can be seen as the "process of creating customized services from existing services by a process of dynamic discovery, integration and execution of those services in a planned order to satisfy a request from a client" [78]. Some examples of documented scenarios [79] that can be accomplished using TC technology are: exchanging business cards, showing and sharing a presentation, scheduling a future presentation or checking and printing directions to the airport. All of them are accomplished by sharing services on different devices and orchestrating those services to create a work flow in order to carry out the desired task. A prototype of TC has been implemented experimentally for Smart Conference Rooms and Home Multimedia Environments [80] and the first public results date back to 2003. It consisted in applying Semantic Web technologies to Pervasive Computing scenarios for semi-automatic composition of tasks, based on their previous research [77].


3 Task Computing - the Technology; http://taskcomputing.org/


[76] Ryusuke Masuoka, Yannis Labrou, Bijan Parsia, and Evren Sirin; Ontology-enabled pervasive computing applications, IEEE Intelligent Systems, 18(5): 68-72, September- October 2003.

[77] Evren Sirin, James Hendler, and Bijan Parsia. Semi-automatic composition of web services using semantic descriptions. In Web Services: Modeling, Architecture and Infrastructure workshop in ICEIS 2003, Angers, France, April 2003.

[78] Dipanjan Chakraborty, Filip Perich, Anupam Joshi, Tim Finin, and Yelena Yesha; A reactive service composition architecture for pervasive computing environments, Technical report, University of Maryland, Baltimore County, March 2002.

[79] Ryusuke Masuoka, Bijan Parsia, and Yannis Labrou; Task Computing - The Semantic Web meets Pervasive Computing. In Proceedings of 2nd International Semantic Web Conference (ISWC2003), Sanibel Island, Florida, October 2003.

[80] Zhexuan Song, Ryusuke Masuoka, Jonathan Agre, and Yannis Labrou; Task Computing for ubiquitous multimedia services. In MUM'04: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia, pages 257-262, New York, USA, 2004. ACM Press.

2.3 Task Computing

Task Computing is an ongoing joint effort by Fujitsu Laboratories of America and the MINDSWAP group, devoted to Semantic Web research, at the University of Maryland Institute for Advanced Computer Studies.

The goal of Task Computing is to “fill the gap between the tasks that users want to perform and the services that constitute available actionable functionality” [MLPS03]. Task Computing presumes initially that users do not know how to achieve their goals when using computing facilities due to increased complexity at computing environments and tasks, and tries to ease the process by providing the user with an intelligent aid that hides the complexity of coordinating existing devices and services.

Task Computing provides dynamic service discovery, service publishing and management, task creation and execution on the fly [SHP03]. It even assists users in discovering what their goals are by suggesting possible tasks that can be performed with available facilities.

All these features try to solve the frustration of users in application-rich environments, where they have to orchestrate a variety of devices and applications. Using Task Computing they can focus on their final goal and accomplish it with a reduced number of simple interactions.

Service composition can be seen as the “process of creating customized services from existing services by a process of dynamic discovery, integration

[Seite 39]

and execution of those services in a planned order to satisfy a request from a client” [CPJ+02].

Some examples of documented scenarios [MPL03] that can be accomplished using Task Computing technology are: exchanging business cards, showing and sharing a presentation, scheduling a future presentation or checking and printing directions to the airport. All of them are accomplished by sharing services on different devices and orchestrating those services to create a workflow in order to carry out the desired task. A prototype of Task Computing environment has been implemented experimentally for Smart Conference Rooms and Home Multimedia Environments [SMAL04] and the first public results date back to 2003, where the group of researchers led by Dr. Ryusuke Masuoka at Fujitsu Laboratories and Dr. James Hendler at the University of Maryland published several papers [MPL03, MLPS03, MMS+05] explaining the basics of their approach. It consisted in applying Semantic Web technologies to Pervasive Computing scenarios for semi-automatic composition of tasks, based on their previous research [SHP03].


[CPJ+02] Dipanjan Chakraborty, Filip Perich, Anupam Joshi, Tim Finin, and Yelena Yesha. A reactive service composition architecture for pervasive computing environments. Technical report, University of Maryland, Baltimore County, March 2002.

[MLPS03] Ryusuke Masuoka, Yannis Labrou, Bijan Parsia, and Evren Sirin. Ontology-enabled pervasive computing applications. IEEE Intelligent Systems, 18(5):68–72, September-October 2003.

[MMS+05] Ryusuke Masuoka, MohinderChopra, Zhexuan Song, Yannis Labrou, Lalana Kagal, and Tim Finin. Policy-based access control fortask computing using rei. In Proceedings of the Policy Management for theWeb Workshop, WWW2005, pages 37–43. W3C, May 2005.

[MPL03] Ryusuke Masuoka, Bijan Parsia, and Yannis Labrou. Task computing - the semantic web meets pervasive computing. In Proceedings of 2nd International Semantic Web Conference (ISWC2003), Sanibel Island, Florida, October 2003.

[SHP03] Evren Sirin, James Hendler, and Bijan Parsia. Semi-automatic composition of web services using semantic descriptions. In Web Services: Modeling, Architecture and Infrastructure workshop in ICEIS 2003, Angers, France, April 2003.

[SMAL04] Zhexuan Song, Ryusuke Masuoka, Jonathan Agre, and Yannis Labrou. Task computing for ubiquitous multimedia services. In MUM ’04: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia, pages 257–262, New York, NY, USA, 2004. ACM Press.

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