C
Christian Bizer
Researcher at University of Mannheim
Publications - 164
Citations - 30134
Christian Bizer is an academic researcher from University of Mannheim. The author has contributed to research in topics: Linked data & Semantic Web. The author has an hindex of 57, co-authored 155 publications receiving 27339 citations. Previous affiliations of Christian Bizer include Free University of Berlin.
Papers
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Mining for Social Serendipity
Alexandre Passant,Ian Mulvany,Peter Mika,Nicolas Maisonneauve,Alexander Löser,Ciro Cattuto,Christian Bizer,Christian Bauckhage,Harith Alani +8 more
TL;DR: This paper proposes a method for detecting "surprising" relationships between people attending an event and uses Flickr metadata (tags) to mine for user similarity not related to the context of the event, as represented in the corresponding Flickr group.
Proceedings ArticleDOI
Web table column categorisation and profiling
Oliver Lehmberg,Christian Bizer +1 more
TL;DR: A set of features which goes beyond probabilistic functional dependencies by using the union of multiple tables from the same web site and from different web sites to overcome the problem that single web tables are too small for the reliable calculation of functional dependencies.
Proceedings ArticleDOI
RESTful open workflows for data provenance and reuse
TL;DR: A workflow model together with an implementation following the Linked Data principles and the principles for RESTful web services is presented, which establishes a full provenance chain for all resources created within these workflows.
WInte.r - a web data integration framework
TL;DR: 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.
Journal ArticleDOI
Editorial: The Semantic Web Challenge, 2009
Christian Bizer,Peter Mika +1 more
TL;DR: The Semantic Web Challenge 2009 took place at the 8th InternationalSemantic Web Conference (ISWC 2009) near Washington, DC and provided the participants of the Billion Triples Track with a RDF data set consisting of 1.1 billion triples.