Towards Better Understanding Researcher Strategies in Cross-Lingual Event Analytics
arXiv:1809.08084 · doi:10.1007/978-3-030-00066-0_12
Abstract
With an increasing amount of information on globally important events, there is a growing demand for efficient analytics of multilingual event-centric information. Such analytics is particularly challenging due to the large amount of content, the event dynamics and the language barrier. Although memory institutions increasingly collect event-centric Web content in different languages, very little is known about the strategies of researchers who conduct analytics of such content. In this paper we present researchers' strategies for the content, method and feature selection in the context of cross-lingual event-centric analytics observed in two case studies on multilingual Wikipedia. We discuss the influence factors for these strategies, the findings enabled by the adopted methods along with the current limitations and provide recommendations for services supporting researchers in cross-lingual event-centric analytics.
arXiv commentIn Proceedings of the International Conference on Theory and Practice of Digital Libraries 2018
References in corpus (5)
- Understanding Editing Behaviors in Multilingual Wikipedia
- MultiWiki: Interlingual Text Passage Alignment in Wikipedia
- iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling
- ArchiveWeb: collaboratively extending and exploring web archive collections - How would you like to work with your collections?
- Analysing Temporal Evolution of Interlingual Wikipedia Article Pairs