Web Service Discovery Methods and Techniques: A Review

Pakari, Soodeh; Kheirkhah, Esmaeel; Jalali, Mehrdad

doi:10.5121/ijcseit.2014.4101

Cited by 11 publications

(5 citation statements)

References 24 publications

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“…Another way to create an execution plan is through the automatic disco very of a sequence of services, each responsible for achieving a specific goal. The approach used in [4] involves defining the ontology of each service, based on which the process execu tor finds the optimal path to achieve the desired outcome.…”

Section: Resultsmentioning

confidence: 99%

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Finding a conceptual approach to developing an architecture of general-purpose services for economic researches

Lumpova,

Kasianchuk

2023

TAPR

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The object of research is the architecture of general-purpose services for economic researches. The excessive popularity of service-oriented architecture implementations has led to consideration of the application of this approach in the production of organizations engaged in processing statistical and economic information for analytical research. This is due to the possibility of reusing services, each of which is designed to perform specific statistical functions, and the availability of design solutions for compiling these functions into a program for implementing a statistical task solution, using orchestration as a basis for dynamic service calls. The paper proposes an approach to the development of external statistical services as a set of software products for solving analytical tasks by groups of independent researchers. Since such researchers do not have sufficient financial support, the use of external statistical services will allow them to conduct an in-depth analysis of their research results. The proposed approach assumes that such a service should have its typical data storage structure with fixed types and attributes, to which the researcher imports their own data, selects a calculation execution scheme, initializes their execution, and receives results. Taking into account this storage scheme, the authors have identified the main groups of metadata necessary to describe the implementation of the statistical process. A statistical business process typically consists of a set of procedures that implement certain statistical operations and data transformations, and the provided set of metadata allows for the realization of the process goal and activity. Issues that require further in-depth research for the practical implementation of the proposed idea have been identified. The use of service-oriented architecture for building statistical processes allows for standardizing the approach by unifying the functions of individual services. The availability of possibilities for practical implementation of software products in a service-oriented architecture using a cloud environment in modern IT industry serves as a guide for further research direction.

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Section: Resultsmentioning

confidence: 99%

“…Analyzing recent studies and publications [1][2][3][4][5][6], it can be concluded that the process approach to processing economic information is becoming increasingly popular in various TECHNOLOGY AUDIT AND PRODUCTION RESERVES -№ 3/4(71), 2023…”

Section: Introductionmentioning

confidence: 99%

Finding a conceptual approach to developing an architecture of general-purpose services for economic researches

Lumpova,

Kasianchuk

2023

TAPR

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“…The Web Service Discovery method Based on Functional semantics (FBWSD) is a function-based [32,33] service discovery method. The method firstly utilizes the Stanford Parser tool to tokenize the requirement statements and service description texts and then constructs a feature set based on the extracted predicates and objects.…”

Section: Baseline Approachesmentioning

confidence: 99%

Service Discovery Method Based on Knowledge Graph and Word2vec

Zhou

Yang

et al. 2022

Electronics

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Mashup is a new type of application that integrates multiple Web APIs. For mashup application development, the quality of the selected APIs is particularly important. However, with the rapid development of Internet technology, the number of Web APIs is increasing rapidly. It is unrealistic for mashup developers to manually select appropriate APIs from a large number of services. For existing methods, there is a problem of data sparsity, because one mashup is related to a few APIs, and another problem of over-reliance on semantic information. To solve these problems in current service discovery approaches, we propose a service discovery approach based on a knowledge map (SDKG). We embed service-related information into the knowledge graph, alleviating the impact of data sparsity and mining deep relationships between services, which improves the accuracy of service discovery. Experimental results show that our approach has obvious advantages in accuracy compared with the existing mainstream service discovery approaches.

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“…Discovering services in this method depend on the user's context [27]. Generally, the user context is analyzed to discover the most suitable services.…”

Section: Context-aware Methodsmentioning

confidence: 99%