KEYS: A Knowledge Extraction System Based on UNL Knowledge Infrastructure | ||||
| The Egyptian Journal of Language Engineering | ||||
| Article 3, Volume 2, Issue 1, April 2015, Page 25-42 PDF (1.05 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejle.2015.60255 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Sameh Alansary  1; Magdy Nagi2
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| 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. | ||||
| Keywords | ||||
| Universal Networking Language (UNL); KEYS (Knowledge Extraction sYStem)information retrieval; extracting names | ||||
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