Use cases for social data analysis with URREF criteria

Abstract

Social data analysis has gained prominence in a wide range of domains as it provides users with the opportunity to communicate and share posts and topics. Automated analysis and reasoning about such data potentially derive meaningful insights, with tremendous potential for applications. However, the sheer volume, noise, and high dynamics of social data impose challenges that hinder the efficacy of algorithms. Automated approaches and classification models require then significant resources to be developed and prove to be often relevant to only a limited number of tasks. Imperfections of inputs, precision of techniques and accuracy of results need to be accounted and assessed as the process runs. This paper discuses two use cases allowing the investigation of implicit and explicit uncertainty arising when processing data gleaned on social media. The objective of this paper is twofold. The first objective is to set up the ETUR use case on social media analysis by adopting two tasks on opinion mining for cyberspace surveillance and information extraction for crisis analysis, respectively. The second objective is to discuss an overall methodology allowing the identification and assessment of uncertainties underlying each task The paper introduces two illustrations of social data analysis, investigates various sources of uncertainty and describes a methodology to select criteria for uncertainty assessment.

A paradigm shift in crisis management: The nexus of AGI‐driven intelligence fusion networks and blockchain trustworthiness

“…This phase represents the norm in intelligence collection, including database expansion and fragmented information gathering. During the collection of fragmented information, detailed annotations should be made to indicate the time, space, and other attributes of the fragmented information (Laudy et al, 2013). The most basic on‐site data is then integrated with other multi‐source and multi‐entity intelligence.…”

Uncertainty-Driven Ontology for Decision Support System in Air Transport

“…Another transportation application of the URREF is for maritime awareness where Camossi and Jousselme [37,38] developed methods for Automatic Identification System (AIS) analysis for sensing and monitoring, which is similar to the air traffic use of the Automatic Dependent Surveillance-Broadcast (ADS-B). Recent applications of the URREF include formalizing trust in reporting that can be aligned with NOTAMS as well as methods by Laudy and Dragos [39] for urban traffic control. Together, the URREF is broadly applicable to transportation analysis for situation awareness over traffic for space, air, ground, and maritime domains and systems.…”