Generalized semantic Web service composition

Bansal, Srividya K.; Bansal, Ajay; Gupta, Gopal; Blake, M. Brian

doi:10.1007/s11761-014-0167-5

Cited by 23 publications

(12 citation statements)

References 33 publications

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“…Bansal et al [17] discuss SWS composition by developing a Prolog-based discovery and composition, the repository of facts deriving from the semantic descriptions of services expressed in Universal Service-Semantics Description Language (USDL) [18]. The discovery of services is based on mapping between those services USDL descriptions, description of the composition requirements, and WordNet [19] (or a domain-specific ontology).…”

Section: Semantic Web Services Compositionmentioning

confidence: 99%

“…Those input values may only be the set of inputs provided by the user, as the QoS algorithm elects services before the execution phase and therefore only accesses user-given input values. The first parameter therefore expresses that, for a given set of inputs values for the composition, a service has been used inside the composition and provided useful results (this parameter is tested in lines [16][17][18][19][20][21][22].…”

Section: Quality Of Service Assessmentmentioning

confidence: 99%

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Semantic Web Services Composition in the astrophysics domain: Issues and solutions

Louge

Karray

Archimède

et al. 2019

Future Generation Computer Systems

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Section: Semantic Web Services Compositionmentioning

confidence: 99%

Section: Quality Of Service Assessmentmentioning

confidence: 99%

Semantic Web Services Composition in the astrophysics domain: Issues and solutions

Louge

Karray

Archimède

et al. 2019

Future Generation Computer Systems

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“…This feature allows ASON to assume the role of a service directory, along with a service ontology and a domain ontology. In contrast, existing approaches for service composition require the use of a services registry in addition to semantic reconciliation between service capabilities and the description of the application domain (Bansal et al, 2014).…”

Section: Formalization and Implementationmentioning

confidence: 99%

ASON: An OWL-S based ontology for astrophysical services

Louge

Karray

Archimède

et al. 2018

Astronomy and Computing

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Modern astrophysics heavily relies on Web services to expose most of the data coming from many different instruments and researches worldwide. The virtual observatory (VO) has been designed to allow scientists to locate, retrieve and analyze useful information among those heterogeneous data. The use of ontologies has been studied in the VO context for astrophysical concerns like object types or astrophysical services subjects. On the operative point of view, ontological description of astrophysical services for interoperability and querying still has to be considered. In this paper, we design a global ontology (Astrophysical Services ONtology, ASON) based on web Ontology Language for Services (OWL-S) to enhance existing astrophysical services description. By expressing together VO specific and non-VO specific services design, it will improve the automation of services queries and allow automatic composition of heterogeneous astrophysical services.

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“…The work of García-Sánchez [ 33 ] proposed an agent-based framework for service integration and interoperability in an e-Government domain, in which the discovery agent is represented for matchmaking and composing services through the SWS and ontology concepts mapping. Another work was proposed by Bansal et al [ 34 ], who presented a generalized semantics-based technique for automatic service composition.…”

Section: Literature Reviewmentioning

confidence: 99%

Graph-Based Semantic Web Service Composition for Healthcare Data Integration

Arch-int

Sonsilphong³

et al. 2017

Journal of Healthcare Engineering

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Within the numerous and heterogeneous web services offered through different sources, automatic web services composition is the most convenient method for building complex business processes that permit invocation of multiple existing atomic services. The current solutions in functional web services composition lack autonomous queries of semantic matches within the parameters of web services, which are necessary in the composition of large-scale related services. In this paper, we propose a graph-based Semantic Web Services composition system consisting of two subsystems: management time and run time. The management-time subsystem is responsible for dependency graph preparation in which a dependency graph of related services is generated automatically according to the proposed semantic matchmaking rules. The run-time subsystem is responsible for discovering the potential web services and nonredundant web services composition of a user's query using a graph-based searching algorithm. The proposed approach was applied to healthcare data integration in different health organizations and was evaluated according to two aspects: execution time measurement and correctness measurement.

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Generalized semantic Web service composition

Cited by 23 publications

References 33 publications

Semantic Web Services Composition in the astrophysics domain: Issues and solutions

Semantic Web Services Composition in the astrophysics domain: Issues and solutions

ASON: An OWL-S based ontology for astrophysical services

Graph-Based Semantic Web Service Composition for Healthcare Data Integration

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