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This student project is about finding possible additional statements inside an RDF-Graph (turtle serialization) by using the rescal-algorithm.

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turtle-rescal-triple-finder

This student project is about finding possible additional statements inside an RDF-Graph (turtle serialization) by using the rescal-algorithm described in

Maximilian Nickel, Volker Tresp, Hans-Peter-Kriegel,
"A Three-Way Model for Collective Learning on Multi-Relational Data",
Proceedings of the 28th International Conference on Machine Learning (ICML'11), 
809--816, ACM, Bellevue, WA, USA, 2011

and

Maximilian Nickel, Volker Tresp, Hans-Peter-Kriegel,
"Factorizing YAGO: Scalable Machine Learning for Linked Data"
Proceedings of the 21st International Conference on World Wide Web (WWW'12),
271--280, ACM, Lyon, France, 2012

from

https://github.com/mnick/rescal.py.git

dependencies

python version: 2.7, rescal.py Numpy >= 1.3, SciPy >= 0.7, rdflib >= 4.1.2.

notes on installation

  • try to use pip or easyinstall to add Numpy, SciPy and rdflib packages of the latest version to your python environment
  • follow the installation routine describes in https://github.com/mnick/rescal.py.git

Authors

Franz Teichmann [email protected] summer 2014

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This student project is about finding possible additional statements inside an RDF-Graph (turtle serialization) by using the rescal-algorithm.

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