Semantic sparse Web service discovery method based on Gaussian LDA and word embedding

A discovery method and web service technology, applied in the field of semantically sparse web service discovery, can solve problems such as inability to similarity, calculation, etc., and achieve the effects of improving accuracy, good versatility, and wide applicability
CN106599086AInactive Publication Date: 2017-04-26SHANDONG UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG UNIV OF SCI & TECH
Publication Date
2017-04-26
Estimated Expiration
Not applicable Β· inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a semantic sparse Web service discovery method based on Gaussian LDA and word embedding, and specifically relates to the technical field of service computing. The method specifically comprises the following steps in order: collecting a Web service description document, preprocessing the collected Web service description document, obtaining characteristic vocabularies in the Web service description document, preprocessing the vocabularies in the Web service description document, and obtaining a set of a group of prototype words; using a word embedded training model Word2Vec to train the set of the prototype words obtained in step 1, and obtaining a continuous vector representation of each word in the set of the prototype words; using a Gaussian LDA model to train the set of the prototype words obtained in step 1, and acquiring each Web service hierarchical structure; enriching user query by using a set of continuous vectors obtained in step 2 by training, and obtaining extended user query; and using the service hierarchical structure obtained in step 2 and using a probability ranking method to obtain query output corresponding to the extended user query.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of service computing, in particular to a semantic sparse Web service discovery method based on Gaussian LDA and word embedding. Background technique

[0002] With the change of Internet computing environment and software architecture, Internet-based software service development has become increasingly popular. The highly distributed and autonomous nature of various computing resources in the software service environment brings new challenges to the development of software systems. Service-oriented architecture can deal with such dynamic, changeable and complex problems, so with the development of service-oriented architecture and software-as-a-service technology, service-oriented software development begins to flourish. In this case, the scale of Web services on the Internet began to grow rapidly, as found in the WWW 2008 paper: from October 2006 to October 2007, the number of WSDL services obtained through...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More