On transforming a knowledge base from topic maps to OWL

Autoren Kamil Matouše
Petr Kremen
Josef Küng
Reinhard Stumptner
Stefan Anderlik
Bernhard Freudenthaler
Editoren R. Moreno-Diaz
F. Pichler
A. Quesada
TitelOn transforming a knowledge base from topic maps to OWL
BuchtitelComputer Aided Systems Theory - Proc. EUROCAST 2011, Part I
Typin Konferenzband
VerlagSpringer
SerieLecture Notes in Computer Science
Band6927
ISBN978-3-642-27548-7
MonatFebruary
Jahr2012
Seiten208-215
SCCH ID#1103
Abstract

A particular passive decision support system (VCDECIS - Vienna Consulting Decision Support System) uses Topic Maps as a semantic technology for representing its knowledge. It can be termed as a knowledge-based Content Management System, which includes adequate knowledge exploration features. An easy-to-use web portal and an integrated search engine for full-text search are its main concepts. Furthermore, one of the main objectives is the integration of heterogeneous information, e.g., any kind of addressable data like documents or links, any concepts of projects, institutions or even datasets from databases [2]. Fig. 1 illustrates the idea of the Topic Map as a Semantic Network based on BRIMOS®1.