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Konferenzbeitrag

YAGO2s: Modular High-quality Information Extraction with an Application to Flight Planning

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45572

Suchanek,  Fabian M.
Ontologies, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44631

Hoffart,  Johannes
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44875

Kuzey,  Erdal
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44752

Lewis-Kelham,  Edwin
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Zitation

Suchanek, F. M., Hoffart, J., Kuzey, E., & Lewis-Kelham, E. (2013). YAGO2s: Modular High-quality Information Extraction with an Application to Flight Planning. In V. Markl (Ed.), Datenbanksysteme für Business, Technologie und Web (pp. 515-518). Bonn: GI.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0014-547D-5
Zusammenfassung
Abstract: In this paper, we present YAGO2s, the new edition of the YAGO ontology. The software architecture has been refactored from scratch, yielding a design that modularizes both code and data. This modularization enables us to add in new data sources more easily, while still maintaining the high accuracy and coherence of the ontology. Thus, we believe that YAGO2s occupies a sweetspot between a centralized design and a completely distributed design. In this demo, we present an application of this design to the task of planning a ight. Our proposed system nds ights between all airports close to the departure city to all airports close to the destination city.