Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks

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.

• Type: Conference
• Year: 2010
• Where: ICCS
• Authors: Pia-Ramona Wojtinnek, Brian Harrington, Sebastian Rudolph, Stephen Pulman
• Keywords: Applied Computing, Deep Semantic Analysis, ICCS 2010, Large-scale Semantic Networks, Semantic