This paper presents a new user feedback mechanism based on Wikipedia concepts for interactive retrieval. In this mechanism, the system presents to the user a group of Wikipedia concepts, and the user can choose those relevant to refine his/her query. To realize this mechanism, we propose methods to address two problems: 1) how to select a small number of possibly relevant Wikipedia concepts to ...

Wikipedia is the largest encyclopedia on the web and has been widely used as a reliable source of information. Researchers have been extracting entities, relationships and attribute-value pairs from Wikipedia and using them in information retrieval tasks. In this paper we present a self-supervised approach for autonomously extract attributevalue pairs from Wikipedia articles. We apply our metho...

We analyze Wikipedia as a lexical semantic resource and compare it with conventional resources, such as dictionaries, thesauri, semantic wordnets, etc. Di erent parts of Wikipedia re ect di erent aspects of these resources. We show that Wikipedia contains a vast amount of knowledge about, e.g., named entities, domain speci c terms, and rare word senses. If Wikipedia is to be used as a lexical s...

In this paper, we propose a novel approach called Wikipedia-based Collapsed Gibbs sampling (Wikipedia-based CGS) to improve the efficiency of the collapsed Gibbs sampling(CGS), which has been widely used in latent Dirichlet Allocation (LDA) model. Conventional CGS method views each word in the documents as an equal status for the topic modeling. Moreover, sampling all the words in the documents...

This paper documents a study of the real-time Wikipedia edit stream containing over 6 million edits on 1.5 million English Wikipedia articles, during 2015. We focus on answering questions related to identification and use of information cascades between Wikipedia articles, based on author editing activity. Our findings show that by constructing information cascades between Wikipedia articles us...

The online encyclopedia Wikipedia is currently one of the best known collaboratively edited knowledge sources. While humans are able to inform themselves by reading the according articles in Wikipedia, machines lack the ability to understand natural language. Thus, a central task of bridging this deficit is the text technological reconstruction of the information held in Wikipedia to make this ...

Research on trolls is scarce, but their activities challenge online communities; one of the main challenges of the Wikipedia community is to fight against vandalism and trolls. This study identifies Wikipedia trolls' behaviours and motivations, and compares and contrasts hackers with trolls; it extends our knowledge about this type of vandalism and concludes that Wikipedia trolls are one type o...

WIkIPeDIA IS AN ONLINe eNCYCLOPeDIA THAT IS WRITTeN, updated, rewritten, and edited collaboratively by registered site users around the world known as “Wikipedians.” The concept of a freely accessible online “work in progress” is known as a “wiki.”1 The main philosophy behind Wikipedia is that the aggregated views of the masses, in this case Internet users, are as credible and valid as those of...

In this vision paper, we suggest combining two lines of research to study the collective behavior of Wikipedia contributors. The first line of research analyzes Wikipedia’s edit history to quantify the quality of individual contributions and the resulting reputation of the contributor. The second line of research surveys Wikipedia contributors to gain insights, e.g., on their personal and profe...

Objective: The objective of the paper is to understand leadership in an online community, specifically, Wikipedia. Background: Wikipedia successfully aggregates millions of volunteers’ efforts to create the largest encyclopedia in human history. Without formal employment contracts and monetary incentives, one significant question for Wikipedia is how it organizes individual members with differi...