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|Year=2010
 
|Year=2010
 
|Month=Juli
 
|Month=Juli
|Booktitle=Proceedings of ICCS
+
|Booktitle=Proceedings of the 18th International Conference on Conceptual Structures
 +
|Pages=203-206
 
|Publisher=Springer
 
|Publisher=Springer
|Series=LNAI
+
|Editor=Madalina Croitoru, Sébastien Ferré, Dickson Lukose
|Note=to appear
+
|Series=LNCS
 +
|Volume=6208
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
 
|Abstract=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.
 
|Abstract=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.
 +
|Download=WHRP-ICCS2010.pdf,
 +
|Projekt=Multipla
 
|Forschungsgruppe=Wissensmanagement
 
|Forschungsgruppe=Wissensmanagement
 
}}
 
}}

Aktuelle Version vom 16. Dezember 2010, 23:17 Uhr


Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks


Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks



Published: 2010 Juli
Herausgeber: Madalina Croitoru, Sébastien Ferré, Dickson Lukose
Buchtitel: Proceedings of the 18th International Conference on Conceptual Structures
Ausgabe: 6208
Reihe: LNCS
Seiten: 203-206
Verlag: Springer

Referierte Veröffentlichung

BibTeX

Kurzfassung
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.

Download: Media:WHRP-ICCS2010.pdf

Projekt

Multipla



Forschungsgruppe

Wissensmanagement


Forschungsgebiet

Text Mining, Natürliche Sprachverarbeitung