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.
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
MLA
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
HARVARD
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
VANCOUVER
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
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