Automatic Composition of Semantic Web Services Based on Fuzzy Predicate Petri Nets
Document Type
Article
Publication Date
4-1-2015
Abstract
Web service composition is a challenging research issue. This paper presents an automatic Web service composition method that deals with both input/output compatibility and behavioral constraint compatibility of fuzzy semantic services. First, user input and output requirements are modeled as a set of facts and a goal statement in the Horn clauses, respectively. A service composition problem is transformed into a Horn clause logic reasoning problem. Next, a Fuzzy Predicate Petri Net (FPPN) is applied to model the Horn clause set, and T-invariant technique is used to determine the existence of composite services fulfilling the user input/output requirements. Then, two algorithms are presented to obtain the composite service satisfying behavioral constraints, as well as to construct an FPPN model that shows the calling order of the selected services.
Identifier
84927672970 (Scopus)
Publication Title
IEEE Transactions on Automation Science and Engineering
External Full Text Location
https://doi.org/10.1109/TASE.2013.2293879
ISSN
15455955
First Page
680
Last Page
689
Issue
2
Volume
12
Grant
51034003
Fund Ref
National Science Foundation
Recommended Citation
Cheng, Jiujun; Liu, Cong; Zhou, Mengchu; Zeng, Qingtian T.; and Ylä-Jääski, Antti, "Automatic Composition of Semantic Web Services Based on Fuzzy Predicate Petri Nets" (2015). Faculty Publications. 7086.
https://digitalcommons.njit.edu/fac_pubs/7086
