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In this article, we present an algorithmic system for determining the proper correspondence between place markers and their labels in historical maps. We assume that the locations of place markers (usually pictographs) and labels (pieces of text) have already been determined -- either...
Local experts are critical for many location-sensitive information needs, and yet there is a research gap in our understanding of the factors impacting who is recognized as a local expert and in methods for discovering local experts. Hence, in this article, we explore a geo-spatial...
Location-Based Social Networks (LBSNs) such as Foursquare, Google+ Local, and so on, and Event-Based Social Networks (EBSNs) such as Meetup, Plancast, and so on, have become popular platforms for users to plan, organize, and attend social events with friends and acquaintances. These LBSNs and...
Event forecasting from social media data streams has many applications. Existing approaches focus on forecasting temporal events (such as elections and sports) but as yet cannot forecast spatiotemporal events such as civil unrest and influenza outbreaks, which are much more challenging. To...
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