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Winner Prize

Kindle Fire 7' Wi-Fi, 8 GB

Timeline of @aimashup

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Thank you all for making this event a great success and see you all next year!
About 2 years, 8 months ago by: AI Mashup Challenge (@aimashup)

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vote 4 your favorite mashup(s) and decide 4 the winner! http://t.co/ZBCmIa8c2R
About 2 years, 8 months ago by: AI Mashup Challenge (@aimashup)

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Let the Challenge begin!
About 2 years, 9 months ago by: AI Mashup Challenge (@aimashup)

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Great news! This year, the winner will get a Kindle Fire HD 7, HD Display, Wi-Fi, 8 GB!
About 2 years, 9 months ago by: AI Mashup Challenge (@aimashup)

challengers:omp

Open Mashup Platform

Authors

Tuan-Dat Trinh, Peter Wetz, Ba-Lam Do, Amin Anjomshoaa, Elmar Kiesling, A Min Tjoa

Abstract

Since 2005, there has been much research, proposed architectures and tools about mashups, which, undoubtedly, demonstrate this concept’s importance and usefulness. However, many tools, especially ones from big corporations, e.g. Microsoft Popfly, IBM Mashup Center and Google Mashup Editor were discontinued. All of them have significant weaknesses: (i) they can solve only one or several classes of restricted problems in specific domains; (ii) all systems are closed since developers cannot contribute their widgets; (iii) the crucial elements of mashups, i.e. widgets, are usually not modelled good enough to be exploited later for the essential widget search and composition features; (iv) or it is simply too difficult and complex for end users to utilize. This paper, therefore, presents an open mashup platform based on semantic web technologies to deal with all of above problems.

Mashup online

challengers/omp.txt · Last modified: 2014/04/09 17:41 (external edit)