The iSeM matchmaker: A flexible approach for adaptive hybrid semantic service selection

Klusch, Matthias; Kapahnke, Patrick

doi:10.1016/j.websem.2012.07.003

Cited by 46 publications

(21 citation statements)

References 16 publications

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“…These systems are OWLSM (Jaeger et al, 2005), OWLS-MX , and iSeM (Klusch, 2012). We performed the experiments on the same computer (Intel Core i5 3.30 GHz) with 2 GB of memory.…”

Section: Resultsmentioning

confidence: 99%

“…In the semantic Web domain, there are many developed matchmakers which are able to ensure the matching between a user's request and advertisements such as OWLS-UDDI (Paolucci et al, 2002), OWLSM (Jaeger et al, 2005), OWLS-MX , and iSeM (Klusch, 2012). All the presented matchmakers are not appropriate to the lingware engineering domain, since this lingware has its own features other than I/O, preconditions, and effects.…”

Section: Related Workmentioning

confidence: 99%

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Semantic-based approach to improve the description and the discovery of Linguistic Web Services

Baklouti

Gargouri

Jmaïel

2015

Engineering Applications of Artificial Intelligence

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“…These systems are OWLSM (Jaeger et al, 2005), OWLS-MX , and iSeM (Klusch, 2012). We performed the experiments on the same computer (Intel Core i5 3.30 GHz) with 2 GB of memory.…”

Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Semantic-based approach to improve the description and the discovery of Linguistic Web Services

Baklouti

Gargouri

Jmaïel

2015

Engineering Applications of Artificial Intelligence

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“…In addition, the service precondition requires that the ship should be available for the P assenger and the Location should be reachable, while the effect at(psg, lc) of executing this transport service means that the P assenger eventually will be at the given Location. There is a variety of tools for the selection of semantic services for a given service request available [13] like the currently most precise service matchmaker iSeM [14].…”

Section: A 3d Scene Semantic Annotation and Querymentioning

confidence: 99%

“…Quite a few works [12], [5] response to this need and model those properties by conceptual description and semantic Web services. Unfortunately, classic logical reasoning approaches and service matchmakers, such as [14], [13], are not adequate for the purpose of real time retrieval due to their relatively large computational complexity. Towards attacking these issues, we presented iRep3D 1.0 [4], which offers relatively more precise but real time semantic retrieval of annotated 3D scenes in terms of syntactic conceptual, behavioral and geometric features.…”

Section: Introductionmentioning

confidence: 99%

Advanced Semantic Deep Search for 3D Scenes

Cao

Klusch

2013

2013 IEEE Seventh International Conference on Semantic Computing

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In this paper, we present iRep3D 2.0, a semanticbased repository for efficient deep search of 3D scenes in X3D, XML3D and COLLADA. It supports real time hybrid semantic retrieval of 3D scenes in terms of their syntactic, conceptual, functional and geometric features. This is enabled via off-line indexing over annotated 3D (sub-) scenes with respect to different aspects of semantics and parallel sub-query processing. In addition, an efficient incremental (re-)indexing strategy is derived for iRep3D 2.0, which offers the quick adaption of system to the updates of 3D scene annotations. Further, iRep3D 2.0 in particular scales to advanced semantic deep search and reuse of relevant sub-scenes down to the individual object level of a scene. For this, sub-scene extraction method for XML-based 3D scenes is performed in case that a new scene is being indexed. Finally, the repository comes with a web-based graphic user interface together with a 3D scene annotation toolkit for both non-experts and expert users.

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“…Our survey paper discusses further approaches and open issues in detail [11]. Recently, approaches for "self adaptive" matching appeared (e.g., [8]). These approaches use learning techniques in order to discover the best way to aggregate the results of several matching algorithms.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy service matching in on-the-fly computing

Platenius

2013

Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering

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In the future vision of software engineering, services from world-wide markets are composed automated in order to build custom-made systems. Supporting such scenarios requires an adequate service matching approach. Many existing approaches do not fulfill two key requirements of emerging concepts like On-The-Fly-Computing, namely (1) comprehensiveness, i.e., the consideration of different service views that cover not only functional properties, but also nonfunctional properties and (2) fuzzy matching, i.e., the ability to deliver gradual results in order to cope with a certain extent of uncertainty, incompleteness, and tolerance ranges. In this paper, I present a fuzzy matching process that distinguishes between different fuzziness sources and leverages fuzziness in different matching steps which consider several service views, e.g., behavior and quality properties.

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The iSeM matchmaker: A flexible approach for adaptive hybrid semantic service selection

Cited by 46 publications

References 16 publications

Semantic-based approach to improve the description and the discovery of Linguistic Web Services

Semantic-based approach to improve the description and the discovery of Linguistic Web Services

Advanced Semantic Deep Search for 3D Scenes

Fuzzy service matching in on-the-fly computing

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