On Analyzing and Developing Data Contracts in Cloud-Based Data Marketplaces

Abstract

Abstract-Currently, rich and diverse data types have been increasingly provided using the Data-as-a-Service (DaaS) model, a form of cloud computing services. However, data offered by DaaS are constrained by several data concerns that, if not automatically being reasoned properly, will lead to a wrong way of using them. In this paper, we support the assumption that data concerns should be explicitly modeled and specified in data contracts to support concern-aware data selection and utilization. Instead of relying on a specific definition of data contracts, we analyze contemporary data contracts and we present an abstract model for data contracts. Based on the abstract model, we propose several techniques for evaluating data contracts that can be integrated into data service selection and composition frameworks. We also illustrate our approach with some realworld scenarios.

A deontic logic semantics for licenses composition in the web of data

“…Defeasible rules allows to derive the conclusion unless there is evidence for its contrary. Finally, defeaters suggest that there is a connection between its premises and the conclusion not strong enough to warrant the conclusion on its own, but such that it can be used to defeat rules for the opposite conclusion 23 .…”

Service Contracts: Current State and Future Directions

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Model-Based Contract Testing of Graphical User Interfaces

“…Truong et al [21] suggest an abstract model for data contracts, and based on this abstract model, they propose techniques for evaluating data contracts that can be integrated into data service selection and composition frameworks.…”