Web Services

Alonso, Gustavo; Casati, Fabio; Kuno, Harumi; Machiraju, Vijay

doi:10.1007/978-3-662-10876-5

Cited by 690 publications

(338 citation statements)

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“…A Semantic Web Service (SWS) is a Web service whose internal and external description is in a language that has interpretable semantics well-defined by machines [3].…”

Section: A Semantic Web Servicesmentioning

confidence: 99%

Applying Case-Based Learning to Improve the Efficiency in the Web Service Compositions

Ingrid-Durley¹,

Guzmán-Luna²

2014

IJET

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Abstract-Several planning techniques in artificial intelligence have been used to perform web service composition (semantic or not), but this process typically uses heuristics based planners combined with search techniques usually too expensive in time solution. In this article, we propose the use of case-based reasoning to reduce the computation times of composition; the model aims to infer from past experience a solution that would guide the selection process during a Web services composition. The proposed methodology also uses a classification defined by an algorithm of semantic similarity technique, in order to compare the new problem, with all previous problems. The previous problem with greatest similarity is accompanied by its corresponding solution and is used to specify which goals already achieved and what remain to achieve for the new problem. The result demonstrates greater efficiency, reducing the search space spending less time.Index Terms-Composition of semantic web services, planning in artificial intelligence and case-based learning, INDYGO. I. INTRODUCTIONFrom the perspective of service composition, there are few approaches which integrate learning models to improve various aspects of the task of Web service. A particular model which proposes the use of planning in Web service composition is the concurrent planning and execution model (INDYGO) [1], [2], which Universidad Nacional at Medellin Campus designed and implemented, and aims to produce semantic web service compositions in real time while handling incomplete data. This model, like most service composers, carries out solutions without taking into account experiences of previous solutions. Due to this, it was deemed valuable to propose within the INDYGO model the implementation of case-based learning techniques to enable the improvement of its efficiency in matters concerning the composition process itself that the planner is in charge of. It is important to highlight that even though the model adjusts to a previous development, this proposal may also be easily adapted and implemented in other approaches which under AI planning techniques enable semantic Web service composition since it is in charge of formulating its solution relying on commonly known elements implemented within this dominion.To amplify the proposal, this document is organized as follows: section two revises the reference framework related Jaime Guzmán-Luna is with the Director of SINTELWEB Research Group, Universidad Nacional de Colombia, Medellin Campus (e-mail: jaguzman@unal.edu.co).to the problem of service composition using AI planning techniques, specifically, centered on INDYGO. Section three, discusses and analyzes case-based learning concepts and proposes a representation of the solution starting from them; section four details the integration architecture of the CBR and INDYGO model and its functionality. Section five summarizes some results of the validation of the model, and section six presents conclusions and future work related to this proposal. II. A COMP...

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“…A Semantic Web Service (SWS) is a Web service whose internal and external description is in a language that has interpretable semantics well-defined by machines [3].…”

Section: A Semantic Web Servicesmentioning

confidence: 99%

Applying Case-Based Learning to Improve the Efficiency in the Web Service Compositions

Ingrid-Durley¹,

Guzmán-Luna²

2014

IJET

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“…There are many SOC systems including SLP [30], Jini [31], OSGi [44], CORBA, and Web Services [2]. Servilla has three salient features that distinguish it from these SOC frameworks.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Coordination in Sensor Networks through Flexible Service Provisioning

Fok

Roman

2009

Lecture Notes in Computer Science

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Abstract. Many applications operate in heterogeneous wireless sensor networks, which represent a challenging programming environment due to the wide range of device capabilities. Servilla addresses this difficulty in developing applications by offering a new middleware framework based on service provisioning. Using Servilla, developers can construct platform-independent applications over a dynamic and diverse set of devices. A salient feature of Servilla is its support for the discovery and binding to local and remote services, which enables flexible and energy-efficient in-network collaboration among heterogeneous devices. Furthermore, Servilla provides a modular middleware architecture that can be easily tailored to devices with a wide range of resources, allowing resource-constrained devices to provide services while leveraging the capabilities of more powerful devices. Servilla has been implemented on TinyOS for two representative hardware platforms (Imote2 and TelosB) with drastically different resources. Microbenchmarks demonstrate the efficiency of Servilla's implementation, while an application case study on structural health monitoring demonstrates the efficacy of its coordination model for integrating heterogeneous devices.

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“…Web services are a de facto standard to offer services to parties [12], [13]. Web services, however, are black-box services that do not expose the process contained within.…”

Section: Related Workmentioning

confidence: 99%

Supporting Cross-Organizational Process Control

Angelov

Vonk

Vidyasankar

et al. 2009

Leveraging Knowledge for Innovation in Collaborative Networks

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Abstract. E-contracts express the rights and obligations of parties through a formal, digital representation of the contract provisions. In process intensive relationships, e-contracts contain business processes that a party promises to perform for the counter party, optionally allowing monitoring of the execution of the promised processes. In this paper, we describe an approach in which the counter party is allowed to control the process execution. This approach will lead to more flexible and efficient business relations which are essential in the context of modern, highly dynamic and complex collaborations among companies. We present a specification of the process controls available to the consumer and their support in the private process specification of the provider.

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Web Services

Cited by 690 publications

References 0 publications

Applying Case-Based Learning to Improve the Efficiency in the Web Service Compositions

Applying Case-Based Learning to Improve the Efficiency in the Web Service Compositions

Enhanced Coordination in Sensor Networks through Flexible Service Provisioning

Supporting Cross-Organizational Process Control

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