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Web Service Mining: Application to Discoveries of Biological Pathways (Paperback)
  • Web Service Mining: Application to Discoveries of Biological Pathways (Paperback)
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Web Service Mining: Application to Discoveries of Biological Pathways (Paperback)

(author), (author)
£101.00
Paperback 136 Pages / Published: 20/11/2014
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The new computing environment enabled by advances in service oriented arc- tectures, mashups, and cloud computing will consist of service spaces comprising data, applications, infrastructure resources distributed over the Web. This envir- ment embraces a holistic paradigm in which users, services, and resources establish on-demand interactions, possibly in real-time, to realise useful experiences. Such interactions obtain relevant services that are targeted to the time and place of the user requesting the service and to the device used to access it. The bene?t of such environment originates from the added value generated by the possible interactions in a large scale rather than by the capabilities of its individual components se- rately. This offers tremendous automation opportunities in a variety of application domains including execution of forecasting, of?ce tasks, travel support, intelligent information gathering and analysis, environment monitoring, healthcare, e-business, community based systems, e-science and e-government. A key feature of this environment is the ability to dynamically compose services to realise user tasks. While recent advances in service discovery, composition and Semantic Web technologies contribute necessary ?rst steps to facilitate this task, the bene?ts of composition are still limited to take advantages of large-scale ubiq- tous environments. The main stream composition techniques and technologies rely on human understanding and manual programming to compose and aggregate s- vices. Recent advances improve composition by leveraging search technologies and ?ow-based composition languages as in mashups and process-centric service c- position.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781489989598
Number of pages: 136
Weight: 244 g
Dimensions: 235 x 155 x 8 mm
Edition: 2010 ed.


MEDIA REVIEWS

From the reviews:

"The authors take a unique molecular-based approach to identifying these high-value Web services by leveraging biological processes, specifically with the application of biological pathways. Their inspiration comes from a combination of nature's molecular recognition and the unnatural drug discovery process. ... I recommend this book to data mining practitioners who are always on the lookout for new and innovative approaches that can enable transformation in their field." (Eric W. Yocam, ACM Computing Reviews, June, 2011)

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