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Ontology-based Data Integration for Corporate Sustainability Information Systems

Published: 02 December 2013 Publication History

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.

References

[1]
J. Bao, G. Rong, X. Li, and L. Ding. Representing financial reports on the semantic web:. In M. Dean, J. Hall, A. Rotolo, and S. Tabet, editors, Semantic Web Rules, number 6403 in Lecture Notes in Computer Science, pages 144--152. Springer Berlin Heidelberg, Jan. 2010.
[2]
B. Bertin, V.-M. Scuturici, E. Risler, and J.-M. Pinon. A semantic approach to life cycle assessment applied on energy environmental impact data management. In Proceedings of the 2012 Joint EDBT/ICDT Workshops, EDBT-ICDT '12, pages 87--94, New York, NY, USA, 2012. ACM.
[3]
H. Carretié. Improving the comparability of financial statements in a changeable context: a semantic web-based approach. 2012. Tesis Doctoral leída en la Universidad Rey Juan Carlos de Madrid en 2012. Directores de la Tesis: Ms. Beatriz Torvisco y Mr. Roberto García.
[4]
T. Declerck and H.-u. Krieger. Translating XBRL into description logic: an approach using protege, sesame and OWL. In In Proceedings of Business Information Systems (BIS), 2006.
[5]
Z. Ding and Y. Peng. A probabilistic extension to ontology language OWL. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii international conference on, page 10 pp, 2004.
[6]
F. T. Edum-Fotwe and A. D. Price. A social ontology for appraising sustainability of construction projects and developments. International Journal of Project Management, 27(4):313--322, 2009.
[7]
R. García and R. Gil. Triplificating and linking XBRL financial data. In Proceedings of the 6th International Conference on Semantic Systems, I-SEMANTICS '10, pages 3:1--3:8, New York, NY, USA, 2010. ACM.
[8]
L. Ghahremanloo, J. A. Thom, and L. Magee. An ontology derived from heterogeneous sustainability indicator set documents. In Proceedings of the Seventeenth Australasian Document Computing Symposium, pages 72--79, 2012.
[9]
A. Giovannini, A. Aubry, H. Panetto, M. Dassisti, and H. El Haouzi. Ontology-based system for supporting manufacturing sustainability. Annual Reviews in Control, 36(2):309--317, 2012.
[10]
Global Reporting Initiative. G3.1 sustainability reporting guidelines. Technical report, Global Reporting Initiative, Amsterdam, 2011.
[11]
P. Gluchowski, R. Gabriel, and P. Chamoni. Management Support Systeme und Business Intelligence: Computergestützte Informationssysteme für Fach-und Führungskräfte. Springer-Verlag New York, Inc., 2005.
[12]
D. Han and K. Stoffel. Ontology based qualitative case studies for sustainability research. In Proceedings of the AI for an Intelligent Planet, page 6, 2011.
[13]
J. S. Hare, P. A. S. Sinclair, P. H. Lewis, K. Martinez, P. G. B. Enser, and C. J. S. Bridging the semantic gap in multimedia information retrieval: Top-down and bottom-up approaches. In In 3rd European Semantic Web Conference (ESWC-06), LNCS 4011. Springer Verlag, 2006.
[14]
M. Huang, D. Wang, and K. Wang. Ontology-based semantic retrieval of XBRL data. In 2011 International Conference on Business Computing and Global Informatization (BCGIN), pages 363--366, 2011.
[15]
H.-G. Kemper, W. Mehanna, and C. Unger. Business Intelligence - Grundlagen und praktische Anwendungen: Eine Einfhrung in die IT-basierte Managementuntersttzung: Eine Einführung in die IT-basierte Managementunterstützung. Vieweg+Teubner Verlag, 2., erg. aufl. 2006 edition, Nov. 2006.
[16]
T. Kumazawa, O. Saito, K. Kozaki, T. Matsui, and R. Mizoguchi. Toward knowledge structuring of sustainability science based on ontology engineering. Sustainability Science, 4(1):99--116, Feb. 2009.
[17]
R. Lara, I. Cantador, and P. Castells. XBRL taxonomies and OWL ontologies for investment funds. In Advances in Conceptual Modeling-Theory and Practice, pages 271--280. Springer, 2006.
[18]
U. Leser and F. Naumann. Informationsintegration: Architekturen und Methoden zur Integration verteilter und heterogener Datenquellen. Dpunkt Verlag, 1. a. edition, 2007.
[19]
B. Li and L. Min. An ontology-augmented XBRL extended model for financial information analysis. In IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009. ICIS 2009, volume 3, pages 99--103, 2009.
[20]
W. A. Pinheiro, R. Barros, J. M. D. Souza, G. B. Xexeo, J. C. M. Strauch, P. M. D. Barros, and M. P. Campos. Adaptative methodology of sustainability indicators management by ontology. International Journal of Global Environmental Issues, 9(4):338--355, 2009.
[21]
M. E. Porter and M. R. Kramer. The link between competitive advantage and corporate social responsibility. Harvard Business Review, 11, 2006.
[22]
M. Spies. An ontology modelling perspective on business reporting. Inf. Syst., 35(4):404--416, June 2010.
[23]
R. Stevens, C. A. Goble, and S. Bechhofer. Ontology-based knowledge representation for bioinformatics. Briefings in bioinformatics, 1(4):398--414, 2000.
[24]
A. Thöni, L. Madlberger, and A. Schatten. Towards a data-integration approach for enterprise sustainability risk information systems. In J. Basel, P. Jasek, O. Novotny, and A. M. Tjoa, editors, Proceedings of the 7th International Conference on Research and Practical Issues of Enterprise Information Systems, Linz, 2013. Trauner Verlag.
[25]
H. Zhu and S. E. Madnick. Semantic integration approach to efficient business data supply chain: Integration approach to interoperable XBRL. Working paper, Jan. 2008.

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  • (2023)Incorporating ESG Risk in Companies’ Business Models: State of Research and Energy Sector Case StudiesEnergies10.3390/en1604180916:4(1809)Online publication date: 11-Feb-2023
  • (2017)Adopting Semantic Technologies for Effective Corporate TransparencyThe Semantic Web10.1007/978-3-319-58068-5_40(655-670)Online publication date: 16-May-2017
  • (2017)Using Ontology Design Patterns to Represent Sustainability Indicator SetsOWL: Experiences and Directions – Reasoner Evaluation10.1007/978-3-319-54627-8_6(70-81)Online publication date: 2017
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      cover image ACM Other conferences
      IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services
      December 2013
      753 pages
      ISBN:9781450321136
      DOI:10.1145/2539150
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 02 December 2013

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      Author Tags

      1. Corporate Sustainability
      2. Information Integration
      3. OWL
      4. XBRL

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      View all
      • (2023)Incorporating ESG Risk in Companies’ Business Models: State of Research and Energy Sector Case StudiesEnergies10.3390/en1604180916:4(1809)Online publication date: 11-Feb-2023
      • (2017)Adopting Semantic Technologies for Effective Corporate TransparencyThe Semantic Web10.1007/978-3-319-58068-5_40(655-670)Online publication date: 16-May-2017
      • (2017)Using Ontology Design Patterns to Represent Sustainability Indicator SetsOWL: Experiences and Directions – Reasoner Evaluation10.1007/978-3-319-54627-8_6(70-81)Online publication date: 2017
      • (2017)Information practices for sustainability: Role of iSchools in achieving the UN sustainable development goals (SDGs)Journal of the Association for Information Science and Technology10.1002/asi.2382568:9(2128-2138)Online publication date: 22-Jun-2017

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