Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

We present a methodology for automatically extracting and summarizing reports of
significant local events from large-scale Twitter feeds. While previous work has relied on an …

We present Geollery, an interactive mixed reality social media platform for creating, sharing,
and exploring geotagged information. Geollery introduces a real-time pipeline to …

Objective The COVID-19 pandemic emphasized the value of geospatial visual analytics for
both epidemiologists and the general public. However, systems struggled to encode …

VLSI systems are often constructed from a multitude of independently clocked synchronous
IP blocks. Unfortunately, while a synchronous design style may produce efficient block level …

CoronaViz (http://coronaviz. umiacs. io) is a research prototype developed by us to enable
the dynamic map visualization of COVID-19 related variables including the number of …

In recent years, there has been a growing trend to use publicly available social media
sources within the field of journalism. Breaking news has tight reporting deadlines …

Text data that is associated with location data has become ubiquitous. A tweet is an example
of this type of data, where the text in a tweet is associated with the location where the tweet …

This paper proposes a method for automatically inferring semantic type information for a
street network from its corresponding geometrical representation. Specifically, a street …