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Extracting Semantic Knowledge from Unstructured Text using Embedded Controlled Language

Authors: 

Hazem Abdelaal, Normunds Gruzitis, Ramona Enache, Brian Davis

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Nowadays, most of the data on the Web is still in the form of unstructured text. Knowledge extraction from unstructured text is highly desirable but extremely challenging due to the inherent ambiguity of natural language. In this article, we present an architecture of an information extraction system based on the concept of Embedded Controlled Language that allows for extracting formal semantic knowledge from an unstructured text corpus. Moreover, the presented approach has a potential to support multilingual input and output.
Conference Name: 
International Conference on Semantic Computing
Proceedings: 
2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
Digital Object Identifer (DOI): 
10.1109/ICSC.2016.57
Publication Date: 
04/02/2016
Pages: 
87 - 90
Conference Location: 
United States of America
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No