Publications in Scientific Journals:

A. Anjomshoaa, T. Trinh, B. Do, P. Wetz, E. Kiesling, A. Tjoa:
"Leveraging the Web of Data via Linked Widgets";
Journal Of Service Science Research, Volume 6 (2014), 1; 7 - 27.

English abstract:
Machine-readable datasets that have increasingly become available in open formats in recent years have great potential as a foundation for innovative applications and services. Linked Data in particular - a set of best practices for publishing and connecting structured data on the Web - has facilitated significant progress in evolving the Web of documents into a Web of Data. However, although this concept has opened up many opportunities for data sharing and collaboration, integrating data is still a challenging task that requires considerable technical expertise and a profound understanding of the underlying datasets. In this paper, we introduce a novel approach to provide knowledge workers with the necessary tools to leverage the fast growing Linked Data Cloud by creating semantic-aware dataflow processes. To this end, we introduce the "Linked Widget" concept as an enhancement of standard Web Widgets. These widgets are based on a semantic data model that facilitates powerful mechanisms for gathering, processing, integration, and visualization of data in a user-friendly Mashup environment. By allowing knowledge workers to easily create complex Linked Data applications in an ad-hoc manner, our approach should contribute towards reducing existing barriers of Linked Data adoption.

Web of Data, Linked Data, Linked Widgets, Web Widgets, Mashups

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.