Despite the potential of domain ontologies to provide consensual representations of domain-relevant knowledge, the open, distributed and decentralized nature of the Semantic Web me...
Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...
Knowledge Acquisition through Semantic Annotation is vital to the evolution, growth and success of the Semantic Web. Both Semiautomatic and Manual Annotation are constricted by a ...
Brian Davis, Pradeep Varma, Siegfried Handschuh, L...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
: Building the Semantic Web requires the use of powerful tools to create, manage and extend domain ontologies represented with Semantic Web languages. Though many tools have been a...
Elena Paslaru Bontas, Sebastian Tietz, Thomas Schr...