Decision Support for the Usage of Mobile Information Service: A Context-Aware Service Selection Approach that Considers the Effects of Context Interdependencies

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urn:nbn:de:bvb:355-epub-326393 Copy

Heinrich, Bernd ; Lewerenz, Lars

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Date of publication of this fulltext: 21 Oct 2015 10:08

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Item type:	Article
Date:	2015
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich)
Identification Number:	Value Type 10.1080/12460125.2015.1080498 DOI
Keywords:	mobile business, context-aware, service selection, context interdependencies, mobile information service
Dewey Decimal Classification:	300 Social sciences > 330 Economics
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	32639

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Abstract

In mobile business, context information is utilised to select services mostly tailored to a user’s current situation and preferences. In existing context-aware service selection approaches, a service utility is determined by comparing its non-functional properties with current context information but without considering its integration in a service composition. This may cause suboptimal selection ...

Abstract

In mobile business, context information is utilised to select services mostly tailored to a user’s current situation and preferences. In existing context-aware service selection approaches, a service utility is determined by comparing its non-functional properties with current context information but without considering its integration in a service composition. This may cause suboptimal selection results, as context information and thus the determined utility of a certain service are usually dependent on its preceding and succeeding services. The latter we denote as context interdependencies. In this paper, we investigate how the effects of context interdependencies can be modelled for the context-aware service selection at planning time (i.e. before starting to accomplish a service composition). To develop this approach, we use the concept of states to model context information for the selection. In our evaluation, we find that our approach leads to superior results compared to current context-aware service selection approaches.

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Metadata last modified: 02 Jun 2018 02:48

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