Personalized Active Service Spaces for End-User Service Composition

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Personalized_Active_Service_Spaces_for_End-User_Se.pdf (373.02 KB)

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https://ieeexplore.ieee.org/document/4026922

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https://doi.org/10.1109/SCC.2006.80
 http://hdl.handle.net/11603/31620

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UMBC Information Systems Department
UMBC Center for Accelerated Real Time Analysis
UMBC Center for Real-time Distributed Sensing and Autonomy
UMBC Computer Science and Electrical Engineering Department
UMBC Data Science
UMBC Joint Center for Earth Systems Technology (JCET)

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Author/Creator ORCID

https://orcid.org/0000-0002-9933-1170

Date

2006-12-11

Type of Work

conference papers and proceedings
preprints
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Program

Citation of Original Publication

J. Han, Y. Han, Y. Jin, J. Wang and J. Yu, "Personalized Active Service Spaces for End-User Service Composition," 2006 IEEE International Conference on Services Computing (SCC'06), Chicago, IL, USA, 2006, pp. 198-205, doi: 10.1109/SCC.2006.80.

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© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Subjects

UMBC Big Data Analytics Lab

Abstract

End-user service composition is a promising way to ensure flexible, quick and personalized information provision and utilization, and consequently to better cope with spontaneous business requirements. For end-users to compose services directly, issues like service granularity, service organization and business level semantics are critical. End-users will certainly be at loss if they have to select from a long list of available Web services expressed in IT jargons. This article introduces the concept of personalized active service spaces and focuses on the use of business services, service dependency rules, and service personalization rules to support end-user service composition. It addresses two key issues in end-user composition: how to utilize the user preference and context to restrict the scope of applicable services for selection, and how to capture and utilize dependencies or usage patterns between services in order to provide guidance and enforce temporal/sequential restrictions on service invocations for end-user service compositions.