An approach for incremental entity resolution at the example of social media data

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.

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.

Journal
CEUR Workshop Proceedings: Volume 1200