VSB: The Visual Semantic Browser

Authors:
Ismael Navas-Delgado;Amine Kerzazi;Othmane Chniber;José F. Aldana-Montes
Affiliations:
Computer Languages and Computing Science Department, University of Málaga, Málaga, Spain;Computer Languages and Computing Science Department, University of Málaga, Málaga, Spain;Computer Languages and Computing Science Department, University of Málaga, Málaga, Spain;Computer Languages and Computing Science Department, University of Málaga, Málaga, Spain
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Year:
2008

Citing 6
Cited 0

Learning to Match the Schemas of Data Sources: A Multistrategy Approach

Machine Learning
Generic Schema Matching with Cupid

Proceedings of the 27th International Conference on Very Large Data Bases
Learning to map between structured representations of data

Learning to map between structured representations of data
Ontology Matching

Ontology Matching
COMA: a system for flexible combination of schema matching approaches

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Automatic generation of semantic fields for resource discovery in the semantic web

DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Semantic Web not only covers ontology definitions, but also their relationships and instances. This paper describes an adaptable tool for the visualization of all these Semantic Web elements. The tool includes a set of interfaces to enable the inclusion of different visualization tools as plug-ins. Thus, it is divided into four views: ontology groups, ontology mappings, ontologies and instances. Some algorithms are included but we are planning to develop new ones to improve the tool capabilities (the current version is available at http://khaos.uma.es/VSB where new plug-ins will be made public). The tool has also been successfully applied to develop a graphical query interface that takes advantage of the ontology and instance levels.