Mining Wikipedia's Snippets Graph - First Step to Build a New Knowledge Base
Authors | Andias Wira-Alam Brigitte Mathiak |
|---|---|
Publication date | 2012 |
Links | Original |
Mining Wikipedia's Snippets Graph - First Step to Build a New Knowledge Base - scientific work related to Wikipedia quality published in 2012, written by Andias Wira-Alam and Brigitte Mathiak.
Overview
In this paper, authors discuss the aspects of mining links and text snippets from Wikipedia as a new knowledge base. Current knowledge base, e.g. DBPedia[1], covers mainly the structured part of Wikipedia, but not the content as a whole. Acting as a complement, authors focus on extracting information from the text of the articles. Authors extract a database of the hyperlinks between Wikipedia articles and populate them with the textual context surrounding each hyperlink. This would be useful for network analysis, e.g. to measure the influence of one topic on another, or for question-answering directly (for stating the relationship between two entities). First, authors describe the technical parts related to extracting the data from Wikipedia. Second, authors specify how to represent the data extracted as an extended triple through a Web service. Finally, authors discuss the usage possibilities upon expectation and also the challenges.
Embed
Wikipedia Quality
Wira-Alam, Andias; Mathiak, Brigitte. (2012). "[[Mining Wikipedia's Snippets Graph - First Step to Build a New Knowledge Base]]".
English Wikipedia
{{cite journal |last1=Wira-Alam |first1=Andias |last2=Mathiak |first2=Brigitte |title=Mining Wikipedia's Snippets Graph - First Step to Build a New Knowledge Base |date=2012 |url=https://wikipediaquality.com/wiki/Mining_Wikipedia's_Snippets_Graph_-_First_Step_to_Build_a_New_Knowledge_Base}}
HTML
Wira-Alam, Andias; Mathiak, Brigitte. (2012). "<a href="https://wikipediaquality.com/wiki/Mining_Wikipedia's_Snippets_Graph_-_First_Step_to_Build_a_New_Knowledge_Base">Mining Wikipedia's Snippets Graph - First Step to Build a New Knowledge Base</a>".
