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WInte.r - a web data integration framework
Lehmberg, Oliver
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Brinkmann, Alexander
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Bizer, Christian
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URL:
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http://ceur-ws.org/Vol-1963/paper506.pdf
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Weitere URL:
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http://ceur-ws.org/Vol-1963/
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Dokumenttyp:
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Konferenzveröffentlichung
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Erscheinungsjahr:
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2017
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Buchtitel:
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ISWC-P&D-Industry 2017 : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 23rd to 25th, 2017
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Titel einer Zeitschrift oder einer Reihe:
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CEUR Workshop Proceedings
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Band/Volume:
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1963
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Seitenbereich:
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Paper 506
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Veranstaltungstitel:
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16th International Semantic Web Conference (ISWC 2017)
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Veranstaltungsort:
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Vienna, Austria
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Veranstaltungsdatum:
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October 23-25,2017
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Herausgeber:
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Nikitina, Nadeschda
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Ort der Veröffentlichung:
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Aachen, Germany
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Verlag:
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RWTH Aachen
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ISSN:
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1613-0073
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Information Systems V: Web-based Systems (Bizer 2012-)
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Fachgebiet:
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004 Informatik
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Freie Schlagwörter (Englisch):
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Data Integration , Schema Matching , Identity Resolution , Data Fusion , Web Data
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Abstract:
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The Web provides a plethora of structured data, such as semantic annotations in web pages, data from HTML tables, datasets from open data portals, or linked data from the Linked Open Data Cloud. For many use cases, it is necessary to integrate such web data with existing local datasets. This integration entails schema matching, identity resolution, as well as data fusion. As an alternative to using a combination of partial or ad hoc solutions, this poster presents the Web Data
Integration Framework (WInte.r ), which supports end-to-end data integration by providing algorithms and building blocks for data pre-processing, schema matching, and identity resolution, as well as data fusion. While being fully usable out-of-the box, the framework is highly customisable and allows for the composition of sophisticated integration architectures
such as T2K Match, which is used to match millions of web tables against DBpedia. A second use case for which WInte.r was employed is the task of stitching (combining) web tables from the same web site into larger tables as a preprocessing step before matching. The WInte.r framework is written in Java and is
available as open source under the Apache 2.0 license.
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