Learning an Optimized Deep Neural Network for Link Prediction on Knowledge Graphs

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Abstract

Recent years have seen the emergence of graph-based Knowledge Bases build upon
Semantic Web technologies, known as Knowledge Graphs. Effectively learning from
these complex relational structures remains a challenge yet to be overcome.
Knowledge Graphs For this purpose, we are investigating the effectiveness of Link Prediction through
means of Deep Learning an Artificial Neural Network, as well to optimize both
learning method and model through Bayesian Hyper-parameter optimization.
Moreover, during evaluation, special attention will be given to the usefulness of made
Original languageEnglish
Publication statusPublished - 2015
EventECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Porto, Portugal
Duration: 7 Sep 201511 Sep 2015
http://www.ecmlpkdd2015.org/

Conference

ConferenceECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Abbreviated titleECML
CountryPortugal
CityPorto
Period7/09/1511/09/15
Internet address

Keywords

  • Knowledge Graphs
  • Deep Learning

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