Leverage Label and Word Embedding for Semantic Sparse Web Service Discovery
Joint Authors
Sun, Chengai
Tian, Gang
Lv, Liangyu
Wang, Qibo
Zhang, Xiaoning
Guo, Lantian
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Information retrieval-based Web service discovery approach suffers from the semantic sparsity problem caused by lacking of statistical information when the Web services are described in short texts.
To handle this problem, external information is often utilized to improve the discovery performance.
Inspired by this, we propose a novel Web service discovery approach based on a neural topic model and leveraging Web service labels.
More specifically, words in Web services are mapped into continuous embeddings, and labels are integrated by a neural topic model simultaneously for embodying external semantics of the Web service description.
Based on the topic model, the services are interpreted into hierarchical models for building a service querying and ranking model.
Extensive experiments on several datasets demonstrated that the proposed approach achieves improved performance in terms of F-measure.
The results also suggest that leveraging external information is useful for semantic sparse Web service discovery.
American Psychological Association (APA)
Sun, Chengai& Lv, Liangyu& Tian, Gang& Wang, Qibo& Zhang, Xiaoning& Guo, Lantian. 2020. Leverage Label and Word Embedding for Semantic Sparse Web Service Discovery. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1196109
Modern Language Association (MLA)
Sun, Chengai…[et al.]. Leverage Label and Word Embedding for Semantic Sparse Web Service Discovery. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1196109
American Medical Association (AMA)
Sun, Chengai& Lv, Liangyu& Tian, Gang& Wang, Qibo& Zhang, Xiaoning& Guo, Lantian. Leverage Label and Word Embedding for Semantic Sparse Web Service Discovery. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1196109
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196109