Alansary, S., Nagi, M. (2015). KEYS: A Knowledge Extraction System Based on UNL Knowledge Infrastructure. The Egyptian Journal of Language Engineering, 2(1), 25-42. doi: 10.21608/ejle.2015.60255
Sameh Alansary; Magdy Nagi. "KEYS: A Knowledge Extraction System Based on UNL Knowledge Infrastructure". The Egyptian Journal of Language Engineering, 2, 1, 2015, 25-42. doi: 10.21608/ejle.2015.60255
Alansary, S., Nagi, M. (2015). 'KEYS: A Knowledge Extraction System Based on UNL Knowledge Infrastructure', The Egyptian Journal of Language Engineering, 2(1), pp. 25-42. doi: 10.21608/ejle.2015.60255
Alansary, S., Nagi, M. KEYS: A Knowledge Extraction System Based on UNL Knowledge Infrastructure. The Egyptian Journal of Language Engineering, 2015; 2(1): 25-42. doi: 10.21608/ejle.2015.60255
KEYS: A Knowledge Extraction System Based on UNL Knowledge Infrastructure
1Phonetics and Linguistics Department, Faculty of Arts, Alexandria University, Alexandria,
2Computer and Systems Engineering department, Faculty of Engineering, Alexandria University
Abstract
With the revolution of information available on the internet pages, humans need to extract specific information. This paper presents KEYS (Knowledge Extraction sYStem); an information retrieval and extraction system. It searches for information inside documents represented in UNL, i.e., in semantic hyper-graphs. This allows for retrieval and extraction practices that are language-independent and semantically-oriented. It is expected to provide high-quality knowledge extraction through a shallow analysis of the source text into the Universal Networking Language (UNL) using a specific ontological relations and fully-automatic generation from the resulting UNL document into several different target languages. This is expected to present a novel approach to the topic of identifying the named entity; extracting names with all its types from a natural language form.
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