Ontology-based Data Integration for Corporate Sustainability Information Systems

Authors:
Lisa Madlberger;Andreas Thöni;Peter Wetz;Alexander Schatten;A. Min Tjoa
Affiliations:
Vienna PhD School of Informatics, Vienna University of Technology;Information & Software Engineering Group, Vienna University of Technology;Doctoral College Environmental Informatics, Vienna University of Technology;Sophisystems GmbH;Information & Software Engineering Group, Vienna University of Technology
Venue:
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Year:
2013

Citing 10
Cited 0

A Probabilistic Extension to Ontology Language OWL

HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Management Support Systeme und Business Intelligence: Computergestützte Informationssysteme für Fach- und Führungskräfte

Management Support Systeme und Business Intelligence: Computergestützte Informationssysteme für Fach- und Führungskräfte
An ontology modelling perspective on business reporting

Information Systems
Triplificating and linking XBRL financial data

Proceedings of the 6th International Conference on Semantic Systems
Representing financial reports on the semantic web: a faithful translation from XBRL to OWL

RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Ontology based qualitative case studies for sustainability research

Proceedings of the AI for an Intelligent Planet
Ontology-based Semantic Retrieval of XBRL Data

BCGIN '11 Proceedings of the 2011 International Conference on Business Computing and Global Informatization
XBRL taxonomies and OWL ontologies for investment funds

CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
A semantic approach to life cycle assessment applied on energy environmental impact data management

Proceedings of the 2012 Joint EDBT/ICDT Workshops
An ontology derived from heterogeneous sustainability indicator set documents

Proceedings of the Seventeenth Australasian Document Computing Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

Nowadays, the term sustainability gains more and more importance in corporate risk management and decision making. Corporate Sustainability Information Systems should support companies to analyse sustainability risks and provide relevant data in a practical manner. A major challenge in the domain of sustainability is to integrate environmental, social and economic data from different sources. This paper presents an approach for ontology-based data integration in the Corporate Sustainability domain preserving hierarchical relations to allow e.g. improved querying. Based on an existing sustainability framework defined in an XBRL-taxonomy, first a mechanism for the automatic generation of a domain-specific ontology is proposed. Finally, special data is queried and linked to the proposed ontology, serving as a working example for the suggested approach.