EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces

Abstract

An increasing need to analyse event-centric cross-lingual information calls for innovative user interaction models that assist users in crossing the language barrier. However, datasets that reflect user interaction traces in cross-lingual settings required to train and evaluate the user interaction models are mostly missing. In this paper, we present the EventKG+Click dataset that aims to facilitate the creation and evaluation of such interaction models. EventKG+Click builds upon the event-centric EventKG knowledge graph and language-specific information on user interactions with events, entities, and their relations derived from the Wikipedia clickstream.

arXiv commentIn Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 17th Extended Semantic Web Conference (ESWC 2020)

References in corpus (4)

• The Twitter of Babel: Mapping World Languages through Microblogging Platforms
• The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context
• EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph
• Towards Better Understanding Researcher Strategies in Cross-Lingual Event Analytics

Cited by in corpus (1)

• LaSER: Language-Specific Event Recommendation