A Service Set Feature Extraction Method Based on Semantic Web Service Clustering

An extraction method and web service technology, applied in the field of intelligent semantic web, can solve problems such as low efficiency and service set differentiation

Active Publication Date: 2016-10-05
刘发贵
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Problems solved by technology

However, in many cases, the binary model is not enough to distinguish each service set, and the multivariate model may be inefficient when using feature quantities for service matching due to too many dimensions

Method used

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  • A Service Set Feature Extraction Method Based on Semantic Web Service Clustering
  • A Service Set Feature Extraction Method Based on Semantic Web Service Clustering
  • A Service Set Feature Extraction Method Based on Semantic Web Service Clustering

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[0038] Example: Step 1) Service Set Ontology Statistics

[0039] The process of performing ontology statistics on the service set is shown in the attached Figure 4 shown. This process summarizes the ontologies in all service IOs in the service set, counts the number of occurrences of each ontology in Input or Output, and finally obtains the ontology feature set of the service set. Among them, the ontology feature set is represented by a one-to-one mapping between ontology URIs and corresponding ontology occurrence times.

[0040] Specifically, the first step is to perform IO analysis on all semantic Web services in the service set, extract the ontology in the Input and Output of each semantic Web service, and construct the Input ontology set and Output ontology for each semantic Web service. ontology set.

[0041] The second step is to traverse the Input / Output ontology set of each semantic Web service, count the occurrence times of the ontology in the service set Input / Ou...

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Abstract

The invention discloses a method for extracting characteristic quantities of service sets on the basis of semantic Web service clusters. The method includes steps of counting bodies of the service sets to obtain body characteristic sets of the service sets; sorting the body characteristic sets according to a large-to-small body occurrence number rule; constructing a body characteristic tree of the service sets according to the sorted body characteristic sets of the service sets and generating the characteristic quantities according to the body characteristic tree. The method for extracting the characteristic quantities is extended and modified on the basis of an existing technology for dynamically acquiring characteristic quantities. The method has the advantages that attributes of the sets in a double-element model or even an n-element model are extended into function characteristics of the service sets according to occurrence numbers of the bodies in the service sets, and the bodies in the service sets are hierarchically organized.

Description

technical field [0001] The invention belongs to the field of semantic Web service feature extraction in the intelligent semantic network, and specifically relates to a semantic Web service set feature quantity extraction method proposed on the basis of clustering obtained semantic Web service sets. Background technique [0002] With the vigorous development of Semantic Web Services, a series of problems follow. Usually, the process of discovering Web services is in the form of registering services through the UDDI registry, allowing UDDI to provide users with a unified service discovery mechanism. When judging whether a service can satisfy a request, all services in the service registry are required to be matched and compared with the service request one by one. However, when there are tens of thousands of records in the service database, a lot of time will be spent on matching and comparing some irrelevant Web services. At the same time, the services published by service ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30H04L29/08
Inventor 刘发贵彭晨漪
Owner 刘发贵
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