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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Opitz, Bernd
Sztyler, Timo
Jess, Michael
Knip, Florian
Bikar, Christian
Pfister, Bernd
Scherp, Ansgar
Title: An approach for incremental entity resolution at the example of social media data
Editor(s): Stefanidakis, Michalis
Di Fabbrizio, Giuseppe
Papadakis, Ioannis
Citation: Opitz B, Sztyler T, Jess M, Knip F, Bikar C, Pfister B & Scherp A (2014) An approach for incremental entity resolution at the example of social media data. In: Stefanidakis M, Di Fabbrizio G & Papadakis I (eds.) Proceedings of the AI Mashup Challenge 2014 co-located with 11th Extended Semantic Web Conference (ESWC 2014), volume 1200. CEUR Workshop Proceedings, 1200. AIMashup 2014, Crete, Greece, 27.05.2014-27.05.2014. Aachen, Germany: CEUR Workshop Proceedings.
Issue Date: 31-Dec-2014
Date Deposited: 26-Oct-2018
Series/Report no.: CEUR Workshop Proceedings, 1200
Conference Name: AIMashup 2014
Conference Dates: 2014-05-27 - 2014-05-27
Conference Location: Crete, Greece
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.
Status: VoR - Version of Record
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