Mining Events Connections on the Social Web: Real-Time Instance Matching and Data Analysis in EventMedia
Posted: 9 Jul 2018 Publication Status: Accepted
Event and media services have recently witnessed a rapid growth driving the way people explore information of interest. Substantial amount of social calendars, media memes and background knowledge are daily created on various platforms, conveying event clues or past user experience. Mining in real-time the connection of these distributed data fragments is a key advantage not only to deliver enriched views, but also to gain insight into interesting sociological aspects. To this aim, we harness the power of Semantic Web technologies as means to easily steer the data integration and analysis. Our overall goal is to build a web-based environment that allows users to discover meaningful, surprising or entertaining connections between events, media and people. In this paper, we present EventMedia, a platform that provides the description of events associated with media, and interlinked with the Linked Data cloud. It draws on a live data update and a real-time interlinking to face the natural dynamic of events. A user-friendly interface has been designed to meet the user needs: relive experiences based on media, and support decision making for attending upcoming events.
Keywords: EventMedia, LODE ontology, real-time, instance matching, event-based social network
Suggested Citation: Suggested Citation