S. Maria Wenisch, A. Amali Asha



A Knowledge Based System for the Integration of Indigenous and Scientific Knowledge with Sustainability Constraint

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Integration of Indigenous Knowledge (IK) gained out of domain experience which is implicit and Scientific Knowledge (SK) gained out of formal learning which is explicit is important for the efficiency of knowledge storage and organization. Knowledge about a thing can be inadequate or incomplete due to limitations of representing knowledge using a single world view. Finding efficient methods to represent the integrated knowledge is necessary in order to be able to search for it and to retrieve it. Ontology is a good framework for structuring integrated knowledge in a given domain. This paper presents a conceptual ontological framework, an architectural design for knowledge based system (KBS), and a methodology for the integration of heterogeneous ontologies of a particular domain in an industrial environment


Ontological Integration, Indigenous Knowledge, Scientific Knowledge, Sustainability, Knowledge Based System


[1] http://www.audioenglish.net/dictionary/scientific_ knowledge.htm, retrieved on 10 November, 2009.

[2] http://www.merriamwebster.com/dictionary/science, retrieved on 10 November, 2009.

[3] http://dictionary.reference.com/browse/sustainabili ty, retrieved on 10 November, 2009.

[4] http://www.worldbank.org/afr/ik/basic.htm, retrieved on 10November, 2009.

[5] Brilhante,V. and Robertson, D., Metadata – Supported Automated Ecological Modelling. In: Environmental Information Systems in Industry and Public Administration. C. Rautenstrauch (ed.). Hershey, Pennsylvania: Idea Group Publishing, 2001.

[6] Calvanese, D., De Giacomo, G and Lenzerini M., A Framework for Ontology Integration, Proceedings of the First Semantic Web Working Symposium, 2001.

[7] Calvanese, D., De Giacomo, G and Lenzerini M., Ontology of Integration and Integration of Ontologies, Proceedings of the International Workshop on Description Logics, 2001.

[8] Chandrasekaran, B., Josephson, J., Benjamins, V., What are Ontologies, and why do we need them?, IEEE Intelligent Systems, Vol.14, No.1, 1999, pp. 20-26.

[9] Chang, X., Terpenny, J., Ontology-based Data Integration and Decision Support for Product eDesign, Robotics and Computer- Integrated Manufacturing, Vol., 25, Issue 6, 2009, pp. 863 - 870.

[10] Chen, Y-J., Chen Y-M, Chu, Development of a Mechanism for Ontology-based Product Lifecycle Knowledge Integration, Expert Systems with Applications, Vol. 36, Issue 2, Part 2, 2009, pp. 2759 – 2779.

[11] Falbo, R., Guizzardi, G., Durate, K., An Ontological Approach to Domain Engineering, International Conference on Software Engineering and Knowledge Engineering, Ischia, Italy, July 15- 19, 2002.

[12] Flavier, J.M. et al., "The regional program for the promotion of indigenous knowledge in Asia", pp. 479-487 in Warren, D.M., L.J. Slikkerveer and D. Brokensha (eds) The cultural dimension of development: Indigenous knowledge systems. London: Intermediate Technology Publications, 1995.

[13] Gladun, A., Rogushina, J., Shtonda, V., Ontological Approach to Domain Knowledge Representation for Information Retrieval in Multiagent Systems, International Journal “Information Theories & Applications”, Vol.13.,http://www.foibg.com/ijita/vol13/ijita13-4- p10.pdf, 3 November, 2009.

[14] Gruber, T. R., Toward Principles for the Design of Ontologies used for Knowledge Sharing, Substantial revision paper presented at the International Workshop on Formal Ontology, Padova, Italy, March, 1993.

[15] Keet C. Maria, Aspects of Ontology Integration, Internal report containing literature research and additional background information to the PhD proposal entitled “Bottom-up Development of Ontology Integration in the Subject Domain of Ecology”, submitted in February, 2004.

[16] Kendall, E. F., Dutra, M. E., McGuinness, D.L., Towards a Commercial Ontology Development Environment, First International Semantic Web Conference, Springer, Berlin, 2002.

[17] Laurini Robert, Ontologies and Urban Databases,http://lisi.insalyon.fr/~laurini/resact/cost-geneva.pdf, 3 November, 2009.

[18] Lee, J., Suh, H., Han S.H., Ontology –based Knowledge Framework for Product Development, Computer-Aided Design & Applications, Vol. 2, No. 5, 2005, pp 635-643.

[19] Russell, S., Norvig, P., Artificial Intelligence: A Modern Approach, 2nd Edition, Prentice- Hall, New Delhi, 2005.

[20] Christopher M. Raymond, Ioan Fazey, Mark S. Reed, Lindsay C. Stringer, Guy M. Robinson, Anna C. Evely, Integrating local and scientific knowledge for environmental management, Journal of Environmental Management 91, 2010, Elsevier, pp. 1766-1777.

[21] Lorena Otero-Cerdeira, Francisco J. Rodriguez-Martinez, Alma Gomez-Rodriguez, Ontology matching: A literature review, Expert Systems with Applications 42, 2015, Elsevier, pp. 949–971.

Cite this paper

S. Maria Wenisch, A. Amali Asha. (2016) A Knowledge Based System for the Integration of Indigenous and Scientific Knowledge with Sustainability Constraint. International Journal of Education and Learning Systems, 1, 19-26


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