kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)

Frasconi, Paolo; Costa, Fabrizio; de Raedt, Luc; De Grave, Kurt

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)

Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Journal Track. Pages 4183-4186.

Abstract

We introduce kLog, a novel language for kernel-based learning on expressive logical and relational representations. kLog allows users to specify logical and relational learning problems declaratively. It builds on simple but powerful concepts: learning from interpretations, entity/relationship data modeling, and logic programming. Access by the kernel to the rich representation is mediated by a technique we call graphicalization: the relational representation is first transformed into a graph — in particular, a grounded entity/relationship diagram. Subsequently, a choice of graph kernel defines the feature space. The kLog framework can be applied to tackle the same range of tasks that has made statistical relational learning so popular, including classification, regression, multitask learning, and collective classification. An empirical evaluation shows that kLog can be either more accurate, or much faster at the same level of accuracy, than Tilde and Alchemy.

Paolo Frasconi, Fabrizio Costa, Luc de Raedt, and Kurt De Grave. 2015. kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4183–4186. https://ijcai.org/proceedings/2015/592

@inproceedings{ijcai2015p592,
  title     = {kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)},
  author    = {Frasconi, Paolo and Costa, Fabrizio and de Raedt, Luc and De Grave, Kurt},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {4183--4186},
  year      = {2015},
  month     = {7},
  note      = {Journal Track},
  url       = {https://ijcai.org/proceedings/2015/592},
}

TY  - CPAPER
TI  - kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)
AU  - Frasconi, Paolo
AU  - Costa, Fabrizio
AU  - de Raedt, Luc
AU  - De Grave, Kurt
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 4183
EP  - 4186
UR  - https://ijcai.org/proceedings/2015/592
ER  -