1. RELEVANCE MAPPING AND IMPACT COMPUTATION OF WIKIPEDIA EDITS
Poonam Gohil
Shradha Joshi
Dr. Sumi Singh (Mentor)
February 2016
Department of Computer Science

2. Abstract
Wikipedia is “Internet’s largest” as well as the “most popular general
reference source”. It boasts over 38 million articles and is constantly
growing. The open collaborative nature of Wikipedia results in
170,000 edits per day on its articles. Most revisions are minor, like
spelling and grammar checks. The others are major, like change of
information and addition or deletion of facts. Edits can further be
classified as relevant and impactful or otherwise. Due to volume of
edits,it is critical to automaticallyanalyze the nature of these changes
and help maintain the integrityof Wikipedia articles.This workaims at
maintainingan automaticallyupdatedrepositoryof links to Wikipedia
edits. This real time database will be used to automatically calculate
the relevance and impact of a majoredit on a Wikipedia article. Use of
ontological hierarchy, cognitive synonyms or synsets and concept
based rankinghelp in the calculation ofrelevance and impact of edits.
The information on relevance and impact will be used to collect
statistics on attempts to vandalize Wikipedia articles. These measures
will help to increase the accuracy of the information provided by
Wikipedia and make it more reliable.