An evidence-based scheme for web service selection
Information Technology and Management
An enhanced model framework of personalized material flow services
Information Technology and Management
Cohesion and coupling metrics for ontology modules
Information Technology and Management
Distributed data mining for e-business
Information Technology and Management
A role-oriented service system architecture for enterprise process collaboration
Computers and Operations Research
Optimizing airline passenger prescreening systems with Bayesian decision models
Computers and Operations Research
A 3PL supplier selection model based on fuzzy sets
Computers and Operations Research
Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications
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Data are central to scientific research and practices. The advance of experiment methods and information retrieval technologies leads to explosive growth of scientific data and databases. However, due to the heterogeneous problems in data formats, structures and semantics, it is hard to integrate the diversified data that grow explosively and analyse them comprehensively. As more and more public databases are accessible through standard protocols like programmable interfaces and Web portals, Web-based data integration becomes a major trend to manage and synthesise data that are stored in distributed locations. Mashup, a Web 2.0 technique, presents a new way to compose content and software from multiple resources. The paper proposes a layered framework for integrating pharmacogenomics data in a service-oriented approach using the mashup technology. The framework separates the integration concerns from three perspectives including data, process and Web-based user interface. Each layer encapsulates the heterogeneous issues of one aspect. To facilitate the mapping and convergence of data, the ontology mechanism is introduced to provide consistent conceptual models across different databases and experiment platforms. To support user-interactive and iterative service orchestration, a context model is defined to capture information of users, tasks and services, which can be used for service selection and recommendation during a dynamic service composition process. A prototype system is implemented and cases studies are presented to illustrate the promising capabilities of the proposed approach.