Domain Priori Knowledge based Integrated Solution Design for Internet of Services
Hanchuan Xu, Xiao Wang, Yuxin Wang, Nan Li, Zhiying Tu, Zhongjie Wang,, Xiaofei Xu

TL;DR
This paper presents a framework and platform for designing integrated IoS solutions by leveraging domain prior knowledge from historical user requirements and service solutions to improve efficiency and accuracy.
Contribution
It introduces a novel approach using requirement patterns, service patterns, and probabilistic matching to enhance IoS solution design based on historical data.
Findings
Effective use of domain prior knowledge improves solution accuracy.
The framework reduces search space for service composition.
Platform supports automated, requirement-oriented solution design.
Abstract
Various types of services, such as web APIs, IoT services, O2O services, and many others, have flooded on the Internet. Interconnections among these services have resulted in a new phenomenon called "Internet of Services" (IoS). By IoS,people don't need to request multiple services by themselves to fulfill their daily requirements, but it is an IoS platform that is responsible for constructing integrated solutions for them. Since user requirements (URs) are usually coarse-grained and transboundary, IoS platforms have to integrate services from multiple domains to fulfill the requirements. Considering there are too many available services in IoS, a big challenge is how to look for a tradeoff between the construction efficiency and the precision of final solutions. For this challenge, we introduce a framework and a platform for transboundary user requirement oriented solution design in…
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Taxonomy
TopicsService-Oriented Architecture and Web Services · Advanced Software Engineering Methodologies · Software Engineering Techniques and Practices
