The FUSION project: "Rules-By-Example - a Novel Approach to Semantic Indexing and Querying of Images"
Speaker: Suzanne Little, ITEE
When: 2004-10-21 14:00:00
Venue: DSTC Boardroom, Level 7, GP South, The University of Queensland
Host: (seminar host unavailable)
Abstract:Images represent a key source of information in many domains and the
ability to exploit them through their discovery, analysis and
integration by services and agents on the Semantic Web is a
challenging and significant problem. To date the semantic indexing
of images has concentrated on applying machine-learning techniques
to a set of manually-annotated images in order to automatically
label images with keywords. In this paper we propose a new hybrid,
user-assisted approach, Rules-By-Example (RBE), which is based on a
combination of RuleML and Query-By-Example. Our RBE user interface
enables domain-experts to graphically define domain-specific rules
that can infer high-level semantic descriptions of images from
combinations of lowlevel visual features (e.g., color, texture,
shape, size of regions) which have been specified through
examples. Using these rules, the system is able to analyze the
visual features of any given image from this domain and generate
semantically meaningful labels, using terms defined in the
domain-specific ontology. We believe that this approach, in
combination with traditional solutions, will enable faster, more
flexible, cost-effective and accurate semantic indexing of images
and hence maximize their potential for discovery, re-use,
integration and processing by Semantic Web services, tools and
agents.
Biography:Suzanne Little is a PhD student with the ITEE Department at The
University of Queensland and the Distributed Systems Technology
Centre (DSTC) working in the areas of multimedia and the semantic
web. She joined DSTC as a vacation student after receiving a
Bachelor of Information Technology with 1st class Honours from The
University of Queensland in 2000 and then worked as a research
scientist before beginning her PhD under the supervision of Dr Jane
Hunter in 2002. As a member of the MAENAD (Multimedia Across
Enterprise Networks and Domains) group, she is primarily involved
with the FUSION (Fuel cell Understanding through Semantic
Inferencing, Ontologies and Nanotechnology) project which applies,
extends and combines Semantic Web technologies and image analysis
techniques to develop a knowledge management system to optimise the
design of clean, hydrogen-based fuel cells.
Type: Lunchtime Forum
Contact:(seminar host unavailable), seminar host (liz@dstc.edu.au)
or Guido Governatori (ITEE seminar co-ordinator)
(guido@itee.uq.edu.au)