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

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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 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 3 years, 1 month ago by: AI Mashup Challenge (@aimashup)

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Let the Challenge begin!
About 3 years, 1 month 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, 1 month ago by: AI Mashup Challenge (@aimashup)

challengers:incresent

An Approach for Incremental Entity Resolution at the Example of Social Media Data

Authors

B. Opitz, T. Sztyler, M. Jess, F. Knip, C. Bikar, B. Pfister, A. Scherp

Abstract

When querying data providers on the web, one has no guarantee that they will reply within a given time. Some providers may even not answer at all. This makes it infeasible to wait for a complete result before beginning with the entity resolution. In order to solve this problem, we present a query-time entity resolution approach that takes the asynchronous nature of the replies from data providers into account by starting the entity resolution as soon as first results are returned. Resolved entities are propagated from the entity resolution engine to the mobile client as early as possible. Resolution results that are produced later are send as updates to the client and thus improve earlier results.

Mobile App

challengers/incresent.txt ยท Last modified: 2014/04/06 10:09 (external edit)