Semantic-based automatic service composition with functional and non-functional requirements in design time: A genetic algorithm approach

Fanjiang, Yong-Yi; Syu, Yang

doi:10.1016/j.infsof.2013.12.001

Cited by 29 publications

(20 citation statements)

References 27 publications

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“…Composition Algorithm [193], [198], [105], [208], [77], [74], [90], [43], [8], [29], [154], [54], [143], [207], [17], [192], [103], [104], [201], [45], [56], [60], [189], [73], [81], [85], [87], [96], [102], [108], [162], [163], [30], [107], [202], [200], [199], [150], [153], [20], [188], [213].…”

Section: Dimension Referencesunclassified

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Designing service-based applications in the presence of non-functional properties: A mapping study

Neto

Vargas-Solar²,

Costa

et al. 2016

Information and Software Technology

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Section: Dimension Referencesunclassified

“…Semantic [67], [206], [131], [114], [181], [70], [190], [65], [37], [2], [17], [3], [124], [45], [56], [73], [85], [216], [127], [138], [150], [175], [213], [186].…”

Section: Dimension Referencesmentioning

confidence: 99%

Designing service-based applications in the presence of non-functional properties: A mapping study

Neto

Vargas-Solar²,

Costa

et al. 2016

Information and Software Technology

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“…Using tree structure described in [29], CWS performance in its corresponding tuple is shown. Non-functional features of this composite service are weighted in NFi which includes two parts; QF which takes a default value and QoS, composite web service, which is calculated by composer agent.…”

Section: B Ranking Servicesmentioning

confidence: 99%

Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor

Nahvi¹,

Habibi²

2016

ijacsa

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Abstract-The application of service-orientated architecture in organizations for implementation of complicated workflows in electronic way using composite web services has become widespread. Thus, challenging research issues have also been raised in this regard. One of these issues is constructing composite web services by workflows. These workflows are composed of existing web services. Selections of a web service for each of workflow activities and fulfilling users' conditions is still regarded as a major challenge. In fact, selection of a web service out of many such web services with identical function is a critical task which generally depends on composite evaluation tool of QoS. Previously proposed approaches do not consider exchange restrictions on the composition process and internal processes of architecture and previous experiences, and they ignore the fact that value of many of QoSs depends on the time of implementation. Selection of web services only based on QoS does not bring about optimal composite web service. Thus, till now, no solution has been proposed that performs composition process automatically or semi-automatically in optimal manner Objective: identification of existing concerns on composition of services and then designing a framework to provide a solution which consider all concerns and finally performing tests in order to examine and evaluate proposed framework Method: in the proposed framework, elements affecting management of service-oriented architecture processes are organized according to a logical procedure. This framework identifies processes of this style of architecture based on requirements in service-oriented architecture processes management and according to qualitative features in this area. In the proposed framework, in addition to using existing data in the problem area, existing structure and patterns in the area of software architecture are also utilize, and management processes in service-orientated architecture are improved based on propriety of available requirements. QWV are qualitative weighted dynamic features which indicate priority of users, and QF is quality factor of service at the time of implementation which is weighted in the framework. These factors are used for constructing composite web service. Multifactor computing is known as a natural computational system for automating the interaction between services. The factors in multi-agent systems can be used as the main reliable mechanism for the control which usually use data exchange for accelerating their evaluations. For identification of all concerns in the solution space, many aspects should be examined. To this end, classes of agents are defined which investigate these aspects in the form of four components using repository data.Results: proposed framework was simulated by Arena software and results showed this framework can be useful in automatic generation of needed services and meet all concerns at the same time. Results support that using agents in the model increased speed of accountability and ...

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“…In the Semantic Web domain, Genetic Algorithm-based approaches can be observed in a variety of applications (Chen, Wu, & Cudré-Mauroux, 2012) such as finding optimal ontology alignments between multiple ontologies (J. J. Martinez-Gil & J.F. Aldana-Montes, 2008); identification and alignment of datasets of the Linked Open Data cloud (Gunaratna, Lalithsena, & Sheth, 2014); RDF query answering (Oren, Guéret, & Schlobach, 2008); and semantic Web service discovery (Sangers, Frasincar, Hogenboom, & Chepegin, 2013) and composition (Fanjiang & Syu, 2014), among others, and have shown to be effective for such optimization problems.…”

Section: Defaultmentioning

confidence: 99%

Evolutionary fine-tuning of automated semantic annotation systems

Cuzzola¹,

Jovanović²,

Bagheri³

et al. 2015

Expert Systems with Applications

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a b s t r a c tConsidering the ever-increasing speed at which new textual content is generated, an efficient and effective use of large text corpora requires automated natural language processing and text analysis tools. A subset of such tools, namely automated semantic annotation tools, are capable of interlinking syntactical forms of text with their underlying semantic concepts. The optimal performance of automated semantic annotation tools often depends on tuning the values of the tools' adjustable parameters to the specificities of the annotation task, and particularly to the characteristics of the text to be annotated. Such characteristics include the text domain, terseness or verbosity level, text length, structure and style. Since the default configuration of annotation tools is not suitable for the large variety of input texts that different combinations of these attributes can produce, users often need to adjust the annotators' tunable parameters in order to get the best results. However, the configuration of semantic annotators is presently a tedious and time consuming task as it is primarily based on a manual trial-and-error process. In this paper, we propose a Parameter Tuning Architecture (PTA) for automating the task of configuring parameter values of semantic annotation tools. We describe the core fitness functions of PTA that operate on the quality of the annotations produced, and offer a solution, based on a genetic algorithm, for searching the space of possible parameter values. Our experiments demonstrate that PTA enables effective configuration of parameter values of many semantic annotation tools.

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Semantic-based automatic service composition with functional and non-functional requirements in design time: A genetic algorithm approach

Cited by 29 publications

References 27 publications

Designing service-based applications in the presence of non-functional properties: A mapping study

Designing service-based applications in the presence of non-functional properties: A mapping study

Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor

Evolutionary fine-tuning of automated semantic annotation systems

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