Description
| Title | As far as we know... - How to derive safe trust assertions from a limited amount of opinions |
| Abstract | I will discuss the problems inherent the fusion of possibly disagreeing opinions about a certain fact. In particular, I will mainly focus on the analysis of event descriptions in the maritime domain where, by taking into account both provenance and uncertainty, I will try to derive reliable information from AIS messages sent by ships, collected via multiple sources and encoded as RDF statements. In order to accomplish such a task, I will make use of a probabilistic logic (Subjective Logic). Provenance information will be tracked using the Open Provenance Model. |
Other presentations by Davide Ceolin
| Date | Title |
|---|---|
| 08 February 2010 | Thinking about trust |
| 21 February 2011 | As far as we know... - How to derive safe trust assertions from a limited amount of opinions |
| 12 December 2011 | |
| 22 April 2013 | Police Open Data Reliability Analyses. |
| 16 December 2013 | Estimating the trustworthiness of crowdsourced museum annotations |
| 23 June 2014 | Two Procedures for Analyzing the Reliability of Open Government Data |
| 09 March 2015 | Trusting crowdsourced annotations |
| 21 March 2016 | Web Data and Information Quality assessment |
| 10 October 2016 | Capturing the Ineffable: Collecting, Analysing, and Automating Web Document Quality Assessments |