TY  - JOUR
AB  - Purpose– This paper aims to present a collaborative mashup platform for dynamic integration of heterogeneous data sources. The platform encourages sharing and connects data publishers, integrators, developers and end users. Design/methodology/approach– This approach is based on a visual programming paradigm and follows three fundamental principles: openness, connectedness and reusability. The platform is based on semantic Web technologies and the concept of linked widgets, i.e. semantic modules that allow users to access, integrate and visualize data in a creative and collaborative manner. Findings– The platform can effectively tackle data integration challenges by allowing users to explore relevant data sources for different contexts, tackling the data heterogeneity problem and facilitating automatic data integration, easing data integration via simple operations and fostering reusability of data processing tasks. Research limitations/implications– This research has focused exclusively on conceptual and technical aspects so far; a comprehensive user study, extensive performance and scalability testing is left for future work. Originality/value– A key contribution of this paper is the concept of distributed mashups. These ad hoc data integration applications allow users to perform data processing tasks in a collaborative and distributed manner simultaneously on multiple devices. This approach requires no server infrastructure to upload data, but rather allows each user to keep control over their data and expose only relevant subsets. Distributed mashups can run persistently in the background and are hence ideal for real-time data monitoring or data streaming use cases. Furthermore, we introduce automatic mashup composition as an innovative approach based on an explicit semantic widget model.
VL  - 11
IS  - 3
SN  - 1744-0084
DO  - 10.1108/IJWIS-04-2015-0018
UR  - https://doi.org/10.1108/IJWIS-04-2015-0018
AU  - Trinh Tuan-Dat
AU  - Wetz Peter
AU  - Do Ba-Lam
AU  - Kiesling Elmar
AU  - Tjoa A Min
PY  - 2015
Y1  - 2015/01/01
TI  - Distributed mashups: a collaborative approach to data integration
T2  - International Journal of Web Information Systems
PB  - Emerald Group Publishing Limited
SP  - 370
EP  - 396
Y2  - 2024/04/25
ER  -