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Talks and Poster Presentations (with Proceedings-Entry):

T. Trinh, P. Wetz, B. Do, A. Anjomshoaa, E. Kiesling, A. Tjoa:
"Open Linked Widgets Mashup Platform";
Talk: AI Mashup Challenge 2014 co-located with 11th Extended Semantic Web Conference (ESWC 2014), Kreta, Griechenland; 2014-05-27; in: "Proceedings of the AI Mashup Challenge 2014 co-located with 11th Extended Semantic Web Conference (ESWC 2014)", CEUR-WS, Vol-1200 (2014), Paper ID 2, 10 pages.



English abstract:
Since the emergence of the mashup concept on the web around 2005, a large stream of academic research and industrial development resulted in numerous architecture proposals, platforms and editing tools. This strong initial interest in mashup technologies and promising use case demonstrations notwithstanding, however, commercial platforms such as Microsoft Popfly, IBM Mashup Center, and Google Mashup Editor failed to gain widespread adoption by consumers and enterprises and were eventually discontinued. This failure may be attributed to a number of common limitations of these platforms: (i) they are each useful only for a single or a limited number of restricted problems in specific domains; (ii) they are closed, i.e., developers cannot contribute and share their widgets; (iii) widgets, which are crucial elements of any mashup platform, are usually not modeled in sufficient semantic detail to support widget search and composition features that facilitate reuse. This paper addresses these limitations by introducing an open mashup platform based on semantic web technologies. We present a novel architecture in which widgets equipped with a semantic, graph-based model can cooperate with each other in a mashup created by end users through simple drag and drop operations. Widgets created freely by independent developers and hosted on arbitrary servers can be discovered and combined easily through our introduced semantic search feature.


Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_235007.pdf


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