Semantic Concept Model Using Wikipedia Semantic Features

Semantic Concept Model Using Wikipedia Semantic Features - scientific work related to Wikipedia quality published in 2018, written by Abdulgabbar Saif, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Ummi Zakiah Zainodin and Naomie Salim.

Overview

Wikipedia has become a high coverage knowledge source which has been used in many research areas such as natural language processing, text mining and information retrieval. Several methods have been introduced for extracting explicit or implicit relations from Wikipedia to represent semantics of concepts/words. However, the main challenge in semantic representation is how to incorporate different types of semantic relations to capture more semantic evidences of the associations of concepts. In this article, authors propose a semantic concept model that incorporates different types of semantic features extracting from Wikipedia. For each concept that corresponds to an article, four semantic features are introduced: template links, categories, salient concepts and topics. The proposed model is based on the probability distributions that are defined for these semantic features of a Wikipedia concept. The template links and categories are the document-level features which are directly extracted from the structured...