Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
Aus International Center for Computational Logic
Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
Pia-Ramona WojtinnekPia-Ramona Wojtinnek, Brian HarringtonBrian Harrington, Sebastian RudolphSebastian Rudolph, Stephen PulmanStephen Pulman
Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
In Madalina Croitoru, Sébastien Ferré, Dickson Lukose, eds., Proceedings of the 18th International Conference on Conceptual Structures, volume 6208 of LNCS, 203-206, July 2010. Springer
- KurzfassungAbstract
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. - Forschungsgruppe:Research Group: Computational Logic
@inproceedings{WHRP2010, author = {Pia-Ramona Wojtinnek and Brian Harrington and Sebastian Rudolph and Stephen Pulman}, title = {Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks}, editor = {Madalina Croitoru and S{\'{e}}bastien Ferr{\'{e}} and Dickson Lukose}, booktitle = {Proceedings of the 18th International Conference on Conceptual Structures}, series = {LNCS}, volume = {6208}, publisher = {Springer}, year = {2010}, month = {July}, pages = {203-206} }