YASA-M: A Semantic Web Service Matchmaker

Chabeb, Yassin; Tata, Samir; Ozanne, Alain

doi:10.1109/aina.2010.122

Cited by 20 publications

(7 citation statements)

References 14 publications

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“…Discovery methods can be logic-based, non-logic-based, or hybrid [6]. Logic-based approaches, like [12], determine the matching degree of services, operations, etc., by means of logic relationships between annotated concepts. Non-logic-based ones utilize measures like text and graph similarities.…”

Section: Related Workmentioning

confidence: 99%

“…As in [12], we first conduct a pre-selection of candidates, e. g., regarding the supported runtime of the component's binding and the minimal number of events, operations and properties as defined by the template. Afterwards, the semantic compatibility of each candidate to the template is checked in a multi-step procedure described in the following.…”

Section: Semantic Discovery Of Mashup Componentsmentioning

confidence: 99%

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Semantics-based discovery, selection and mediation for presentation-oriented mashups

Pietschmann

Radeck

Meißner

2011

Proceedings of the 5th International Workshop on Web APIs and Service Mashups

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Mashups have become a prominent approach for building interactive web applications from distributed web resources. While the number of web APIs and services is growing, it becomes increasingly hard to find the right "ingredients" and to resolve incompatibilities between them. Semantics have been successfully applied in the web service domain to support the automatic composition of applications. Based on this idea, our approach supports the automatic semanticsbased composition of presentation-oriented mashup applications. It includes a universal semantic model for mashup components, corresponding discovery and ranking mechanisms, as well as concepts for semantic data mediation. We have integrated our results with the composition platform CRUISe and successfully proved its sufficiency and validity.

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Section: Related Workmentioning

confidence: 99%

Section: Semantic Discovery Of Mashup Componentsmentioning

confidence: 99%

Semantics-based discovery, selection and mediation for presentation-oriented mashups

Pietschmann

Radeck

Meißner

2011

Proceedings of the 5th International Workshop on Web APIs and Service Mashups

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“…In other related work, Chabeb, Tata, and Ozanne () describe a new algorithm for matching web services in YASA4WSDL. The matching algorithm consists of three variants based on three different semantic matching degree aggregations.…”

Section: Related Work On Matchingmentioning

confidence: 99%

Frame Logic‐based specification and discovery of semantic web services with application to medical appointments

2019

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Matching web services and client requirements in the form of goals is a significant challenge in the discovery of semantic web services. The most common but unsatisfactory approach to matching is set‐based, where both the client and web services declare what objects they require and what objects they can provide. Matching then becomes the simple task of comparing sets of objects. This approach is inadequate because it says nothing about the functionality required by the client or the functionality provided by the web service. As an alternative, we use the Frame Logic as implemented in Flora‐2 to specify web service capabilities and client requirements, including their preconditions, postconditions, and ontologies, implement a logic‐based discovery agent using Flora‐2, demonstrate its usefulness in a medical appointment making scenario, and show its efficiency both theoretically and by benchmarking. The result is an expressive yet concise representation scheme for semantic web services, and a practical, efficient, powerful, and fully implemented matching engine based purely on logical inference for web service discovery, with direct applicability to Web Service Modeling Ontology and Web Service Modeling Language, because both are based on Frame Logic.

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“…With regard to the semantic matching of data and functional concepts, semantic web service (SWS) discovery utilizes logic-based, e. g., [6], non-logic-based, e. g., [9], or hybrid matchings [10]. While logic-based approaches use deduction to decide if concepts are equal (exact match), part of each other (subsume) and (plug-in) or distinct (fail), non-logic-based ones rely on syntactic, structural and numerical analysis, and hybrid approaches combine both.…”

Section: Related Workmentioning

confidence: 99%

Task-Based Recommendation of Mashup Components

Tietz

Blichmann

Pietschmann

et al. 2012

Current Trends in Web Engineering

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Presentation-oriented mashup applications are usually developed by manual selection and assembly of pre-existent components. The latter are either described on a very technical, functional level, or using informal descriptors, such as tags, which bear certain ambiguities. With regard to the increasing number and complexity of available components, their discovery and integration has become a challenge for non-programmers. Therefore, we present a novel concept for the taskbased recommendation of mashup components, which comprises a more natural, task-driven description of user requirements and a corresponding semantic matching algorithm for universal mashup components. By its realization and integration with an composition platform, we could prove the feasibility and sufficiency of our approach.

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YASA-M: A Semantic Web Service Matchmaker

Cited by 20 publications

References 14 publications

Semantics-based discovery, selection and mediation for presentation-oriented mashups

Semantics-based discovery, selection and mediation for presentation-oriented mashups

Frame Logic‐based specification and discovery of semantic web services with application to medical appointments

Task-Based Recommendation of Mashup Components

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