On transforming a knowledge base from topic maps to OWL
Authors |
Kamil Matouše Petr Kremen Josef Küng Reinhard Stumptner Stefan Anderlik Bernhard Freudenthaler |
Editors |
R. Moreno-Diaz F. Pichler A. Quesada |
Title | On transforming a knowledge base from topic maps to OWL |
Booktitle | Computer Aided Systems Theory - Proc. EUROCAST 2011, Part I |
Type | in proceedings |
Publisher | Springer |
Series | Lecture Notes in Computer Science |
Volume | 6927 |
ISBN | 978-3-642-27548-7 |
Month | February |
Year | 2012 |
Pages | 208-215 |
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. |