Re: FYI: Representation of Uncertainty and Confidence in PIDF-LO

There is probably a great difference between uncertainty in signal data (device, sensor, analog) and uncertainty in symbolic (mostly human created) data. This is also one of reasons why it is difficult to connect images to concepts. I think that distinguishing this line we can find particular representations, I doubt we can find a global one. Peter

----- Original Message -----
From: Ken Laskey [mailto:klaskey@mitre.org]
To: Pavel Smrz [mailto:smrz@fit.vutbr.cz]
Cc: public-xg-urw3@w3.org [mailto:public-xg-urw3@w3.org]
Subject: Re: FYI: Representation of Uncertainty and Confidence in PIDF-LO


> This is interesting, especially as an IETF draft.  Has anyone worked  
> with these people or know of their work?
> 
> A little searching also turned up
> http://portal.acm.org/citation.cfm?id=1355187 
> .
> 
> Ken
> 
> On Dec 9, 2008, at 4:26 AM, Pavel Smrz wrote:
> 
> >
> > Representation of Uncertainty and Confidence in PIDF-LO
> > Martin Thomson and James Winterbottom (eds), IETF Internet Draft
> >
> > Members of the IETF Geographic Location/Privacy (GEOPRIV) Working
> > Group have published a Internet Draft for "Representation of  
> > Uncertainty
> > and Confidence in PIDF-LO." RFC 4119 defines "A Presence-based GEOPRIV
> > Location Object Format" (PIDF-LO), where the Presence Information Data
> > Format (PIDF) is an XML-based format designed for communicating
> > privacy-sensitive presence information and which has similar  
> > properties.
> > This "Representation of Uncertainty" I-D defines key concepts of
> > uncertainty and confidence as they pertain to location information are
> > defined. The draft also outlines methods for the manipulation of  
> > location
> > estimates that include uncertainty information. It provides guidance  
> > on
> > how to manage location information that includes uncertainty. Methods
> > for expanding or reducing uncertainty to obtain a required level of
> > confidence are described. Methods for determining the probability that
> > a Target is within a specified region based on their location estimate
> > are described. These methods are simplified by making certain  
> > assumptions
> > about the location estimate and are designed to be applicable to
> > location estimates in a relatively small area. Background: "Location
> > information represents an estimation of the position of a Target.  
> > Under
> > ideal circumstances, a location estimate precisely reflects the actual
> > location of the Target. In reality, there are many factors that
> > introduce errors into the measurements that are used to determine
> > location estimates. The process by which measurements are combined to
> > generate a location estimate is outside of the scope of work within
> > the IETF. However, the results of such a process are carried in IETF
> > data formats and protocols. This document outlines how uncertainty,
> > and its associated datum, confidence, are expressed and  
> > interpreted..."
> >
> > http://xml.coverpages.org/draft-thomson-geopriv-uncertainty-02.txt
> > See also Geolocation Policy:
> > http://xml.coverpages.org/draft-ietf-geopriv-policy-17.txt
> >
> > -- 
> > Pavel Smrz
> > Associate professor
> > Faculty of Information Technology
> > Brno University of Technology
> > Bozetechova 2, 61266 Brno
> > Czech Republic
> > Phone: +420 541 141 282
> > Fax: +420 541 141 290
> > http://www.fit.vutbr.cz/~smrz
> >
> 
> -----------------------------------------------------------------------------
> Ken Laskey
> MITRE Corporation, M/S H305      phone: 703-983-7934
> 7515 Colshire Drive                         fax:       703-983-1379
> McLean VA 22102-7508
> 
> 
> 
> 
> 
> 


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Received on Tuesday, 9 December 2008 18:31:23 UTC