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Qualified Challengers: IncResEnt | OMP | SEMashup | ECSTASYS | conTEXT


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 3 years, 4 months ago by: AI Mashup Challenge (@aimashup)

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vote 4 your favorite mashup(s) and decide 4 the winner!
About 3 years, 4 months ago by: AI Mashup Challenge (@aimashup)

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Let the Challenge begin!
About 3 years, 4 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 3 years, 5 months ago by: AI Mashup Challenge (@aimashup)




Ali Khalili, Auer and Axel-Cyrille Ngonga Ngomo


Social media technologies such as Weblogs, Microblogging, Wikis and Social Networks have become one of the most important parts of our daily life as they enable us to communicate and share stories with a lot of people. The more the amount of published information grows, the more important are solutions for accessing, analyzing, summarizing and visualizing information. While substantial progress has been made in the last years in each of these areas individually, we argue, that only the intelligent combination of approaches will make this progress truly useful and leverage further synergies between techniques. conTEXT aims to provide a user-friendly and lightweight Mashup platform enabling end-users to use sophisticated NLP techniques for analyzing and visualizing their content. it provides a flexible text analytics architecture of participation by innovative combination of different pieces of services for content collection and analysis. Named Entity Recognition (e.g. DBpedia Spotlight, FOX), Relation Extraction (e.g. BOA), Sentiment Analysis (e.g. Vivekn), Social Media (e.g. Twitter, Facebook, Google+, LinkedIn), and Visualization (e.g. Exhibit, D3js) are some of the example services and APIs currently utilized in conTEXT.

Mashup online

challengers/context.txt ยท Last modified: 2014/04/06 10:08 (external edit)