Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks

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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.

Pia-Ramona Wojtinnek, Brian Harrington, Sebastian

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Applied Computing | Deep Semantic Analysis | ICCS 2010 | Large-scale Semantic Networks | Semantic |

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Added	09 Nov 2010
Updated	09 Nov 2010
Type	Conference
Year	2010
Where	ICCS
Authors	Pia-Ramona Wojtinnek, Brian Harrington, Sebastian Rudolph, Stephen Pulman

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Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks

Applied Computing | Deep Semantic Analysis | ICCS 2010 | Large-scale Semantic Networks | Semantic |

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