Autosoft Journal

Online Manuscript Access


An SP-Tree-Based Web Service Matching Algorithm Considering Data Provenance


Authors



Abstract

Currently the semantic-based Web service matching has improved the precision ratio of service discovery. But it can't distinguish between different data on the different needs of the service, due to rarely considering the input data provenance of Web services. That is an important contribution of high precision ratio. Therefore, in this paper, for further improving the accuracy of Web service matching, the data provenance is considered as a constraint attribute of Web service matching. Firstly, an SP-tree-based Web service matching algorithm considering data provenance (SMDP) is proposed, consisting of three aspects: The general algorithm thoughts, the data How provenance matching calculation method, (which is mainly introduced for it is the hardest calculation part), and the experiments verifying precision ratio of SMDP is 10% higher than the traditional semantic-based matching. Secondly, a Web service matching model based on SMDP is designed and a prototype system for water resources application is implemented, which confirms the feasibility and effectiveness of SMDP, especially, the importance of data How provenance in service matching.


Keywords


Pages

Total Pages: 9
Pages: 619-627

DOI
10.1080/10798587.2017.1316078


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways


Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Published

Volume: 23
Issue: 4
Year: 2017

Cite this document


References

Anselin, Luc, Sergio J. Rey, and Wenwen Li. "Metadata and Provenance for Spatial Analysis: The Case of Spatial Weights." International Journal of Geographical Information Science 28.11 (2014): 2261-2280. Crossref. Web. https://doi.org/10.1080/13658816.2014.917313

Duan S.J. Modern library information technology

Fellbaum C. Combining local context and wordnet similarity for word sense identification

Resource not found. https://doi.org/10.1145/1084805

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




CONTACT INFORMATION


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048
EMAIL: tsiepress@gmail.com
WEB: http://www.wacong.org/tsi/