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Auflistung nach Autor:in "Pinkel, Christoph"

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  • Konferenzbeitrag
    IncMap: A Journey towards Ontology-based Data Integration
    (Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017) Pinkel, Christoph; Binnig, Carsten; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Nikolov, Andriy; Schwarte, Andreas; Heupel, Christian; Kraska, Tim
    Ontology-based data integration (OBDI) allows users to federate over heterogeneous data sources using a semantic rich conceptual data model. An important challenge in ODBI is the curation of mappings between the data sources and the global ontology. In the last years, we have built IncMap, a system to semi-automatically create mappings between relational data sources and a global ontology. IncMap has since been put into practice, both for academic and in industrial applications. Based on the experience of the last years, we have extended the original version of IncMap in several dimensions to enhance the mapping quality: (1) IncMap can detect and leverage semantic-rich patterns in the relational data sources such as inheritance for the mapping creation. (2) IncMap is able to leverage reasoning rules in the ontology to overcome structural differences from the relational data sources. (3) IncMap now includes a fully automatic mode that is often necessary to bootstrap mappings for a new data source. Our experimental evaluation shows that the new version of IncMap outperforms its previous version as well as other state-of-the-art systems.
  • Zeitschriftenartikel
    Sequoia—An Approach to Declarative Information Retrieval
    (Datenbank-Spektrum: Vol. 12, No. 2, 2012) Pinkel, Christoph; Alvanaki, Foteini; Michel, Sebastian
    In this work, we propose an approach that allows to query heterogeneous data sources on the Web in a declarative fashion. Such an approach gives means for a generic way to formulate various information needs, much more powerful than simple keyword queries. Particularly appealing is the ability to combine (join) information from different sources and the ability to compute simple statistics that can be used to select promising information pieces. What might sound like a hopeless effort due to the inherent complexity expressible by SQL-style queries is at second glance not complicated to understand and to use. Already very simple combinations (i.e., joins) of different data sources (i.e., tables) offer a surprisingly large set of interesting use cases. In particular, using sliding window joins that limit the scope of interest to recent information, obtained, for instance, from the live stream of Twitter Tweets. This goes far beyond keyword queries enriched with operators like allintext: or allintitle: or site:, as can be used, for instance, in the Google search engine.