WikiBrain

Shilad Sen, Toby Jia-Jun Li, WikiBrain Team, Brent Hecht
{"title":"WikiBrain","authors":"Shilad Sen, Toby Jia-Jun Li, WikiBrain Team, Brent Hecht","doi":"10.1145/2641580.2641615","DOIUrl":null,"url":null,"abstract":"Wikipedia is known for serving humans' informational needs. Over the past decade, the encyclopedic knowledge encoded in Wikipedia has also powerfully served computer systems. Leading algorithms in artificial intelligence, natural language processing, data mining, geographic information science, and many other fields analyze the text and structure of articles to build computational models of the world. Many software packages extract knowledge from Wikipedia. However, existing tools either (1) provide Wikipedia data, but not well-known Wikipedia-based algorithms or (2) narrowly focus on one such algorithm. This paper presents the WikiBrain software framework, an extensible Java-based platform that democratizes access to a range of Wikipedia-based algorithms and technologies. WikiBrain provides simple access to the diverse Wikipedia data needed for semantic algorithms and technologies, ranging from page views to Wikidata. In a few lines of code, a developer can use WikiBrain to access Wikipedia data and state-of-the-art algorithms. WikiBrain also enables researchers to extend Wikipedia-based algorithms and evaluate their extensions. WikiBrain promotes a new vision of the Wikipedia software ecosystem: every researcher and developer should have access to state-of-the-art Wikipedia-based technologies.","PeriodicalId":447989,"journal":{"name":"Proceedings of The International Symposium on Open Collaboration","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The International Symposium on Open Collaboration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2641580.2641615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

Wikipedia is known for serving humans' informational needs. Over the past decade, the encyclopedic knowledge encoded in Wikipedia has also powerfully served computer systems. Leading algorithms in artificial intelligence, natural language processing, data mining, geographic information science, and many other fields analyze the text and structure of articles to build computational models of the world. Many software packages extract knowledge from Wikipedia. However, existing tools either (1) provide Wikipedia data, but not well-known Wikipedia-based algorithms or (2) narrowly focus on one such algorithm. This paper presents the WikiBrain software framework, an extensible Java-based platform that democratizes access to a range of Wikipedia-based algorithms and technologies. WikiBrain provides simple access to the diverse Wikipedia data needed for semantic algorithms and technologies, ranging from page views to Wikidata. In a few lines of code, a developer can use WikiBrain to access Wikipedia data and state-of-the-art algorithms. WikiBrain also enables researchers to extend Wikipedia-based algorithms and evaluate their extensions. WikiBrain promotes a new vision of the Wikipedia software ecosystem: every researcher and developer should have access to state-of-the-art Wikipedia-based technologies.
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信