Disaster Monitoring with Wikipedia and Online Social Networking Sites: Structured Data and Linked Data Fragments to the Rescue?
Thomas Steiner, Ruben Verborgh

TL;DR
This paper introduces a real-time disaster detection and monitoring tool that uses Wikipedia and social media content, aiming to aid responders and promote data sharing through Linked Data principles.
Contribution
It presents an early-stage, language-agnostic disaster monitoring system leveraging multimedia content and promotes open data sharing via Linked Data.
Findings
First results of a real-time disaster detection tool
Utilizes Wikipedia and social media content
Supports open data sharing and evaluation
Abstract
In this paper, we present the first results of our ongoing early-stage research on a realtime disaster detection and monitoring tool. Based on Wikipedia, it is language-agnostic and leverages user-generated multimedia content shared on online social networking sites to help disaster responders prioritize their efforts. We make the tool and its source code publicly available as we make progress on it. Furthermore, we strive to publish detected disasters and accompanying multimedia content following the Linked Data principles to facilitate its wide consumption, redistribution, and evaluation of its usefulness.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWikis in Education and Collaboration · Topic Modeling · Semantic Web and Ontologies
