Semantically Collaborative Knowledge Management System
Abstract
In this paper, we propose a novel approach for
automatic generation of visualizations from domain-specific data
available on the web. We describe a general system pipeline that
combines ontology mapping and probabilistic reasoning techniques. With
this approach, a web page is first mapped to a Domain Ontology, which
stores the semantics of a specific subject domain (e.g., music charts).
The Domain Ontology is then mapped to one or more Visual Representation
Ontologies, each of which captures the semantics of a visualization
style (e.g., tree maps). To
enable the mapping between these two
ontologies, we establish a Semantic Bridging Ontology, which specifies
the appropriateness of each semantic bridge. Finally each Visual
Representation Ontology is mapped to a visualization using an external
visualization toolkit. Using this approach, we have developed a
prototype software tool, SemViz, as a realisation of this approach. By
interfacing its Visual Representation Ontologies with public domain
software such as ILOG Discovery and Prefuse, SemViz is able to generate
appropriate visualizations automatically from a large collection of
popular web pages for music charts without prior knowledge of these web
pages.
Categories and Subject Descriptors (according to ACM CCS): I.3.0 [Computer Graphics]: General
Last update: 2009-01-27
