Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks [chapter]

Pia-Ramona Wojtinnek, Brian Harrington, Sebastian Rudolph, Stephen Pulman
2010 Lecture Notes in Computer Science  
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.
doi:10.1007/978-3-642-14197-3_23 fatcat:h7cndbem3jcl3cjgqv3ib7t7jy