Computing Terms Semantic Relatedness by Knowledge in Wikipedia

Computing Terms Semantic Relatedness by Knowledge in Wikipedia - scientific work related to Wikipedia quality published in 2015, written by Dexin Zhao, Liangliang Qin, Pengjie Liu, Zhen Ma and Yukun Li.

Overview

Many researchers have recognized Wikipedia as a resource of huge dynamic knowledge base in recent years. This paper provides a new approach for obtaining measures of terms semantic relatedness, which maps terms to relevant Wikipedia articles as the background information for analyzing. The proposed algorithm WLA focuses on the hyperlink structure and summary paragraph extracted from the topic pages to compute two terms similarity. Comparing with other similar techniques, the approach is less computationally intensive, because only the first paragraph is analyzed, not the entire text. Authors method achieves good performance on the widely used test set WS-353.