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Conference Paper

Timely YAGO: Harvesting, Querying, and Visualizing Temporal Knowledge from Wikipedia

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45700

Wang,  Yafang
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45800

Zhu,  Mingjie
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45231

Qu,  Lizhen
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45528

Spaniol,  Marc
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Wang, Y., Zhu, M., Qu, L., Spaniol, M., & Weikum, G. (2010). Timely YAGO: Harvesting, Querying, and Visualizing Temporal Knowledge from Wikipedia. In I. Manolescu, S. Spaccapietra, J. Teubner, M. Kitsuregawa, A. Legér, F. Naumann, et al. (Eds.), Advances in Database Technology - EDBT 2010 (pp. 697-700). New York, NY: ACM. doi:10.1145/1739041.1739130.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-1548-1
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