This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles. After an over...
Abstract. The Library of Babel, described by Jorge Luis Borges, stores an enormous amount of information. The Library exists ab aeterno. Wikipedia, a free online encyclopaedia, bec...
As Wikipedia has become one of the most used knowledge bases worldwide, the problem of the trustworthiness of the information it disseminates becomes central. With WikipediaViz, w...
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
As an important step towards bootstrapping the Semantic Web, many efforts have been made to extract triples from Wikipedia because of its wide coverage, good organization and rich ...
Qiaoling Liu, Kaifeng Xu, Lei Zhang, Haofen Wang, ...
The considerable high quality of Wikipedia articles is often accredited to the large number of users who contribute to Wikipedia's encyclopedia articles, who watch articles a...
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...
This paper presents an approach to generate audio based learning material dynamically from Wikipedia articles for m-Learning and ubiquitous access. It introduces the so called ’...
In this paper, we propose a graph-based approach to constructing a multilingual association dictionary from Wikipedia, in which we exploit two kinds of links in Wikipedia articles...