Comp-O: An OWL-S Extension for Composite Service Description

Alary, Grégory; Hernandez, Nathalie; Arcangeli, Jean‐Paul; Trouilhet, Sylvie; Bruel, Jean‐Michel

doi:10.1007/978-3-030-61244-3_12

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Inspecting the ontology frameworks and languages used in our synthesis showed the dominance of OWL-S (8 studies [69,72,77,79,93,96,99,108]). OWL-S is a semantic markup ontology built on top of DAML-S, originated to describe the profle, operations, and interoperability aspects of services [109]. Tere were other ontologies used, such as WSMO and WSML [71], PROV-O [80], and OpenRDV Sesame [96].…”

Section: Services and Domains Of Compositionmentioning

confidence: 99%

A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

Namoun

Tufail

Nawaz

et al. 2023

Computational Intelligence and Neuroscience

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Integrating smart heterogeneous objects, IoT devices, data sources, and software services to produce new business processes and functionalities continues to attract considerable attention from the research community due to its unraveled advantages, including reusability, adaptation, distribution, and pervasiveness. However, the exploitation of service-oriented computing technologies (e.g., SOC, SOA, and microservice architectures) by people with special needs is underexplored and often overlooked. Furthermore, the existing challenges in this area are yet to be identified clearly. This research study presents a rigorous literature survey of the recent advances in service-oriented composition approaches and solutions for disabled people, their domains of application, and the major challenges, covering studies published between January 2010 and October 2022. To this end, we applied the systematic literature review (SLR) methodology to retrieve and collate only the articles presenting and discussing service composition solutions tailored to produce digitally accessible services for consumption by people who suffer from an impairment or loss of some physical or mental functions. We searched six renowned bibliographic databases, particularly IEEE Xplore, Web of Science, Springer Link, ACM Library, ScienceDirect, and Google Scholar, to synthesize a final pool of 38 related articles. Our survey contributes a comprehensive taxonomy of service composition solutions, techniques, and practices that are utilized to create assistive technologies and services. The seven-facet taxonomy helps researchers and practitioners to quickly understand and analyze the fundamental conceptualizations and characteristics of accessible service composition for people with disabilities. Key findings showed that services are fused to assist disabled persons to carry out their daily activities, mainly in smart homes and ambient intelligent environments. Despite the emergence of immersive technologies (e.g., wearable computing), user-service interactions are enabled primarily through tactile and speech modalities. Service descriptions mainly incorporate functional features (e.g., performance, latency, and cost) of service quality, largely ignoring accessibility features. Moreover, the outstanding research problems revolve around (1) the unavailability of assistive services datasets, (2) the underspecification of accessibility aspects of disabilities, (3) the weak adoption of accessible and universal design practices, (4) the abstraction of service composition approaches, and (5) the rare experimental testing of composition approaches with disabled users. We conclude our survey with a set of guidelines to realize effective assistive service composition in IoT and cloud environments. Researchers and practitioners are advised to create assistive services that support the social relationships of disabled users and model their accessibility needs as part of the quality of service (QoS). Moreover, they should exploit AI/ML models to address the evolving requirements of disabled users in their unique environments. Furthermore, weaknesses of service composition solutions and research challenges are exposed as notable opportunities for future research.

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Section: Services and Domains Of Compositionmentioning

confidence: 99%

A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

Namoun

Tufail

Nawaz

et al. 2023

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…But components may be provided by different suppliers who do not share this vocabulary. For that, we are exploring the use of ontologies to align the terms used in the rules [Alary et al, 2020]. More experiment need now to be conducted both in terms of scalability and of stressing the framework with more complex combinations of components.…”

Section: Conclusion and Open Issuesmentioning

confidence: 99%

Model-Driven Engineering for End-Users in the Loop in Smart Ambient Systems

Trouilhet¹,

Arcangeli²,

Bruel³

et al. 2021

jucs

Self Cite

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At the heart of cyber-physical and ambient systems, the user should permanently benefit from applications adapted to the situation and her/his needs. To do this, she/he must be able to configure her/his software environment and be supported as much as possible in that task. To this end, an intelligent “engine” assembles software components that are present in the ambient environment at the time and makes unanticipated applications emerge. The problem is to put the user “in the loop”, i.e., provide adapted and intelligible descriptions of the emerging applications, and present them so that the user can accept, modify or reject them. Besides, user feedback must be collected to feed the engine’s learning process. Our approach relies on Model-Driven Engineering (MDE). However, differently from the regular use of MDE tools and techniques by engineers to develop software and generate code, our focus is on end-users. Models of component assemblies are represented and made editable for them. Based on a metamodel that supports modeling and de- scription of component-based applications, a user interface provides multi-faceted representations of the emerging applications and captures user feedback. Our solution relies on several domain- specific languages and a transformation process, based on the established MDE tools (Gemoc studio, Eclipse Modeling Framework, EcoreTools, Sirius, Acceleo). It works in conjunction with the intelligent engine that builds the emerging applications and to which it provides learning data.

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Semantic Web Services Architecture Design and Service Discovery Research

Niu

2022

Lecture Notes in Electrical Engineering

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Comp-O: An OWL-S Extension for Composite Service Description

Cited by 3 publications

References 9 publications

A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

Model-Driven Engineering for End-Users in the Loop in Smart Ambient Systems

Semantic Web Services Architecture Design and Service Discovery Research

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