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http://hdl.handle.net/1893/28079| 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 |
| Rights: | The copyright is owned by the authors. Copying is permitted only for private and academic purposes. The permission for academic use implies an attribution obligation, i.e., you must properly cite the items that you use in your own published work. Modification is not permitted unless a suitable license is granted by its copyright owners. Copying or use for commercial purposes is forbidden unless an explicit permission is acquired from the copyright owners. |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Opitz et al 2014.pdf | Fulltext - Published Version | 1.07 MB | Adobe PDF | View/Open |
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