Difference between revisions of "Effective Ontology Learning : Concepts' Hierarchy Building Using Plain Text Wikipedia"
(New work - Effective Ontology Learning : Concepts' Hierarchy Building Using Plain Text Wikipedia) |
(+ wikilinks) |
||
| Line 1: | Line 1: | ||
| − | '''Effective Ontology Learning : Concepts' Hierarchy Building Using Plain Text Wikipedia''' - scientific work related to Wikipedia quality published in 2012, written by Khalida Bensidi Ahmed and Adil Toumouh. | + | '''Effective Ontology Learning : Concepts' Hierarchy Building Using Plain Text Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Khalida Bensidi Ahmed]] and [[Adil Toumouh]]. |
== Overview == | == Overview == | ||
| − | Ontologies stand in the heart of the Semantic Web. Nevertheless, heavyweight or formal ontologies’ engineering is being commonly judged to be a tough exercise which requires time and heavy costs. Ontology Learning is thus a solution for this exigency and an approach for the ‘knowledge acquisition bottleneck’. Since texts are massively available everywhere, making up of experts’ knowledge and their know-how, it is of great value to capture the knowledge existing within such texts. Authors approach is thus an interesting research work which tries to answer the challenge of creating concepts’ hierarchies from textual data. The significance of such a solution stems from the idea by which authors take advantage of the Wikipedia encyclopedia to achieve some good quality results. | + | Ontologies stand in the heart of the Semantic Web. Nevertheless, heavyweight or formal ontologies’ engineering is being commonly judged to be a tough exercise which requires time and heavy costs. Ontology Learning is thus a solution for this exigency and an approach for the ‘knowledge acquisition bottleneck’. Since texts are massively available everywhere, making up of experts’ knowledge and their know-how, it is of great value to capture the knowledge existing within such texts. Authors approach is thus an interesting research work which tries to answer the challenge of creating concepts’ hierarchies from textual data. The significance of such a solution stems from the idea by which authors take advantage of the [[Wikipedia]] encyclopedia to achieve some good quality results. |
Revision as of 13:28, 8 May 2020
Effective Ontology Learning : Concepts' Hierarchy Building Using Plain Text Wikipedia - scientific work related to Wikipedia quality published in 2012, written by Khalida Bensidi Ahmed and Adil Toumouh.
Overview
Ontologies stand in the heart of the Semantic Web. Nevertheless, heavyweight or formal ontologies’ engineering is being commonly judged to be a tough exercise which requires time and heavy costs. Ontology Learning is thus a solution for this exigency and an approach for the ‘knowledge acquisition bottleneck’. Since texts are massively available everywhere, making up of experts’ knowledge and their know-how, it is of great value to capture the knowledge existing within such texts. Authors approach is thus an interesting research work which tries to answer the challenge of creating concepts’ hierarchies from textual data. The significance of such a solution stems from the idea by which authors take advantage of the Wikipedia encyclopedia to achieve some good quality results.
