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Charles Thomas 0007

dblp:245/1813 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 50% Data stream processing · 50%
Artificial intelligence
1 paper
Information extraction and text analysis · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data stream processing › stream processing systems
real-time stream processing
0.412019
Event Tracker: A Text Analytics Platform for Use During Disasters · SIGIR 2019
Information retrieval
text analysis
0.412019
Event Tracker: A Text Analytics Platform for Use During Disasters · SIGIR 2019
Natural language and speech › Information extraction and text analysis
social media text analysis
0.112019
Event Tracker: A Text Analytics Platform for Use During Disasters · SIGIR 2019

Methods — techniques the papers use, named apart from their topics

real-time stream processing · 0.8content grouping · 0.8
YearPublicationVenuePosition
2019 Event Tracker: A Text Analytics Platform for Use During Disasters
abstract
Emergency management organisations currently rely on a wide range of disparate tools and technologies to support the monitoring and management of events during crisis situations. This has a number of disadvantages, in terms of training time for new staff members, reliance on external services, and a lack of integration (and hence poor transfer of information) between those services. On the other hand, Event Tracker is a new solution that aims to provide a unified view of an event, integrating information from emergency response officers, the public (via social media) and also volunteers from around the world. In particular, Event Tracker provides a series of novel functionalities to realise this unified view of the event, namely: real-time identification of critical information, automatic grouping of content by the information needs of response officers, as well as real-time volunteers management and communication. This is supported by an efficient and scalable back-end infrastructure designed to ingest and process high-volumes of real-time streaming data with low latency.
Charles Thomas 0007, Richard McCreadie, Iadh Ounis
SIGIR1