Alan Smith

TL;DR: This paper presents a framework and implementation of a focused and up-to-date knowledge-based search system, called Scooner, that utilizes domain-specific knowledge extracted from recent bioscience abstracts, and is the first attempt in the field to address all three shortcomings mentioned above.

TL;DR: This work proposes to create a machine learning system coupled with the DBpedia graph that predicts the most probable age of the Twitter user, and explores the existing state of the art approaches.

TL;DR: Preliminary results in the context of an emergency preparedness exercise suggest how social media can participate in the work practice of a PIO concerning the assessment of the disaster and the dissemination of information within the emergency response organization and to the public.

TL;DR: This work demonstrates Sem-MOB in the context of an emergency response use case that requires automatic and dynamic registrations of sensor devices and annotation of sensor observations, decoding of latitude-longitude information in terms of human sensible names, fusion and abstraction of sensor values using background knowledge, and their visualization using mash-up.