- Knowledge extraction methods have not efficiently evolved towards new methods to automate the process of building multilingual ontologies as the main representation of structured...
The proliferation of knowledge-sharing communities and the advances in information extraction have enabled the construction of large knowledge bases using the RDF data model to re...
Nicoleta Preda, Gjergji Kasneci, Fabian M. Suchane...
The enforcement of semantic integrity constraints in data and knowledge bases constitutea a major performance bottleneck. Integrity constraint simplification methods aim at reduci...
The standard approach in AI to knowledge representation is to represent an agent's knowledge symbolically as a collection of formulas, which we can view as aknowledge base. A...
Ronald Fagin, Joseph Y. Halpern, Yoram Moses, Mosh...
Effective automatic summarization usually requires simulating asoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in...