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01-09-2015

Hybrid service matchmaking in ambient assisted living environments based on context-aware service modeling

Authors: Aitor Urbieta, Alejandra González-Beltrán, Sonia Ben Mokhtar, Jorge Parra, Licia Capra, M. Anwar Hossain, Abdulhameed Alelaiwi, Juan Ignacio Vázquez

Published in: Cluster Computing | Issue 3/2015

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Abstract

Ambient assisted living (AAL) environments are augmented with sensing and communication technologies to support elderly people with personalized, adaptive and anticipatory requirements. A plethora of heterogeneous devices and services appear and disappear, which expose different behavior with the changing contexts in these environments. Therefore, a service matchmaking mechanism that attempts to identify relevant services in order to fulfill the user needs, has to deal with the heterogeneity of devices and services along with their dynamic behavior. Existing service specifications, such as semantic web services, are often used to abstract the environment’s functionalities and the user tasks without incorporating context-aware properties, which makes them unsuitable for service matchmaking in pervasive and ambient environment. To deal with these issues, we introduce a contExt Aware web Service dEscription Language (wEASEL) that is an abstract service model to represent services and user tasks in AAL environments. Also, we present a set of wEASEL-based service matching algorithms and evaluate them for their suitability. The proposed service matchmaking mechanism can incorporate services that are available in local AAL environment as well as in the cloud computing marketplace.

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Semantic Markup for Web Services (OWL-S): http://www.w3.org/Submission/OWL-S/

Web Service Modeling Ontology (WSMO): http://www.w3.org/Submission/WSMO/

Semantic Web Rule Language (SWRL): http://www.w3.org/Submission/SWRL/

Rule Markup Language (RuleML): http://ruleml.org/

Semantic Web Services Framework (SWSF): http://www.w3.org/Submission/SWSF/

Semantic Annotation for WSDL and XML Schema (SAWSDL): http://www.w3.org/2002/ws/sawsdl/

The word Resource has been shortened to Rsc in order to save space

http://projects.semwebcentral.org/projects/owls-tc/

Available at http://tinyurl.com/wEASEL-site

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In IR, precision is defined the proportion of retrieved material that is actually relevant. On the other hand, the recall of the system is the proportion of relevant material actually retrieved in answer to a search request [12].

Precision macro-averaging refers to the mean precision values for answer sets retrieved by the matchmaker for all queries in the test collection at specific recall values.

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Title: Hybrid service matchmaking in ambient assisted living environments based on context-aware service modeling
Authors: Aitor Urbieta
Alejandra González-Beltrán
Sonia Ben Mokhtar
Jorge Parra
Licia Capra
M. Anwar Hossain
Abdulhameed Alelaiwi
Juan Ignacio Vázquez
Publication date: 01-09-2015
Publisher: Springer US
Published in: Cluster Computing / Issue 3/2015
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-015-0469-1

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