publication . Preprint . 2016

Automatic Knowledge Base Evolution by Learning Instances

Kim, Sundong;
Open Access English
  • Published: 04 Apr 2016
Abstract
Knowledge base is the way to store structured and unstructured data throughout the web. Since the size of the web is increasing rapidly, there are huge needs to structure the knowledge in a fully automated way. However fully-automated knowledge-base evolution on the Semantic Web is a major challenges, although there are many ontology evolution techniques available. Therefore learning ontology automatically can contribute to the semantic web society significantly. In this paper, we propose full-automated ontology learning algorithm to generate refined knowledge base from incomplete knowledge base and rdf-triples. Our algorithm is data-driven approach which is bas...
Subjects
free text keywords: Computer Science - Artificial Intelligence, I.2.6
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