A service marking quality optimization method based on effective human-computer interaction

A technology of human-computer interaction and optimization method, which is applied in the field of Web services, can solve the problems of time and even currency, slow convergence process, unsatisfactory labeling quality, etc., and achieve the effect of improving convergence speed, optimizing accuracy, and accelerating labeling quality

Active Publication Date: 2019-01-11
天津北洋物联科技有限公司
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Problems solved by technology

[0004] However, the convergence process of automatic labeling improvement is relatively slow, and the quality of the improved

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  • A service marking quality optimization method based on effective human-computer interaction
  • A service marking quality optimization method based on effective human-computer interaction
  • A service marking quality optimization method based on effective human-computer interaction

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Embodiment Construction

[0054] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0055] Since the accuracy of Web service annotation is of great significance to the research of Web service composition and discovery, in order to improve the efficiency and accuracy of annotation and generate an effective annotation ontology library, the present invention provides a service annotation based on effective human-computer interaction Quality optimization method, see Figure 1 to Figure 5 As shown, the specific process is as follows:

[0056] Step 1: Comprehensive analysis of services based on SOAP and RESTful categories, encapsulate each operation as a label and test unit, encapsulate the calling method inside, and open the interface, input parameter list and output parameter list to the outside world.

[0057] Step one integrates t...

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Abstract

The invention discloses a service marking quality optimization method based on effective human-computer interaction. The method includes the following steps: encapsulating each operation as a markingand test unit, opening an interface to the outside, inputting a parameter list and outputting the parameter list; marking a list of each operational parameter, each parameter associated with a candidate label pool; carrying out a calling test for each operation, providing feedback and propagating the correct annotation and the generated result instances of each successful operation to the failed operation, and optimizing the semantic annotation; recording the success ratio of each round of update, calculating the integration efficiency of automatic update, and judging the efficiency and the size of the given threshold; extracting untested operations and clustering to obtain the highest similarity operation; carrying out manual annotation based on candidate annotations, and giving the constraint conditions of ontology concept; classifying each instance in detail; updating operations that are still failing; applying the generated correct annotations to semantic Web services to further perform service discovery, composition, and recommendation.

Description

Technical field [0001] The present invention relates to the technical field of Web services, and more specifically, to a method for optimizing service marking quality based on effective human-computer interaction. Background technique [0002] With the rapid development of service computing technology, more and more reusable software services are released on the Internet and are widely used. How to effectively recommend better services to users is becoming more and more important. Semantic Web technology has played a key role in service discovery, composition and recommendation. Semantic annotation is an effective technology to add semantics to Web services. These technologies match the concepts defined in the ontology with the elements in the service to realize the semantic interpretation of the Web service. Early manual semantic labeling was extremely complex, and more automatic service labeling technologies appeared later. These technologies are mainly divided into three cat...

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Application Information

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IPC IPC(8): G06F16/955G06F16/958
Inventor 孙雪皓葛卫民陈世展冯志勇
Owner 天津北洋物联科技有限公司
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