The University of Southampton
University of Southampton Institutional Repository

The Pathetic Fallacy of RDF

schraefel, m.c. and Karger, David (2006) The Pathetic Fallacy of RDF At International Workshop on the Semantic Web and User Interaction (SWUI) 2006, Georgia.

Record type: Conference or Workshop Item (Paper)

Abstract

The most popular visualization of RDF - the underlying language to represent the Semantic Web – is a Great Big Graph (GBG) or Big Fat Graph (BFG) if one prefers. By graph, we mean representations with nodes and edges to model the relationships within the space represented. Why are they the default representation? The answer that is usually proferred is that the Semantic Web is a Graph, ipso facto we use graphs to represent it. This notion that data should be presented to the user as it is represented in the computer is what we propose as the pathetic fallacy of RDF. In the following discussion, we consider examples of the pathetic fallacy in terms of the interaction challenge of * what knowledge these graphs communicate, * what tasks they support, and * whether these are the optimal paradigms for these representations/tasks. From this context, we investigate the question, are graphs the main default representation for the Semantic Web and if not, how might we think about formalized representations for the Semantic Web in order to make accessible the promised benefits of the Semantic Web for knowledge building.

HTML the_pathetic_fallacy_of_rdf-33.html - Other
Download (38kB)

More information

Published date: 2006
Additional Information: Event Dates: Nov 2007
Venue - Dates: International Workshop on the Semantic Web and User Interaction (SWUI) 2006, Georgia, 2007-11-01
Keywords: rdf, visualization, usability, semantic web, mspace, haystack
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 262911
URI: http://eprints.soton.ac.uk/id/eprint/262911
PURE UUID: 1e1c8b09-1439-4847-b5ea-d18d023290a9

Catalogue record

Date deposited: 17 Aug 2006
Last modified: 18 Jul 2017 08:46

Export record

Contributors

Author: m.c. schraefel
Author: David Karger

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×