2010 | OriginalPaper | Chapter
Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
Authors : Pia-Ramona Wojtinnek, Brian Harrington, Sebastian Rudolph, Stephen Pulman
Published in: Conceptual Structures: From Information to Intelligence
Publisher: Springer Berlin Heidelberg
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We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implementation, and sketch various ways in which the representation may be deployed for conceptual knowledge acquisition. A translation to RDF establishes interoperability with a wide range of standardised tools, and bridges the gap to the field of semantic technologies.