KEYS: A Knowledge Extraction System Based on UNL Knowledge Infrastructure | ||
| The Egyptian Journal of Language Engineering | ||
| Article 3, Volume 2, Issue 1, April 2015, Pages 25-42 PDF (1.05 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejle.2015.60255 | ||
| Authors | ||
| Sameh Alansary* 1; Magdy Nagi2 | ||
| 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 | ||
|
Statistics Article View: 180 PDF Download: 453 |
||
