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Dr. Mnazir

Key References


PART I - ONTOLOGY ENGINEERING

Ontology: Fundamental and Design

  1. Ahmad, M.N., Abdalla Badr, K.B., Colomb, R.M. & Ibrahim, R. (2012). Ontology-based Applications in Information Systems Research: Through the Lens of Design Science Research Methodology. 16th AIS Pacific Asia Conference on Information Systems (PACIS '12), 11th-15th July, Ho Chi Minh, Vietnam.
  2. Ahmad, M.N., Zakaria, N.H. & Sedera, D. (2011). Ontology-based Knowledge Management for Enterprise Systems. International Journal of Enterprise Information Systems (IJEIS), 7(4), 64-90.
  3. Colomb, R.M. & Ahmad, M.N. (2010). A Perdurant Ontology for Interoperating Information Systems based on Interlocking Institutional Worlds. Applied Ontology, 5(2010), 47–77.
  4. Ahmad, M.N., Colomb, R.M. & Sadiq, S. (2008). UML-based DEMO profiles as metaconcepts for interlocking institutional worlds. In Proceedings of the AIS 12th Pacific Asia Conference on Information Systems (PACIS’08), Suzhou, China, 3–7 July 2008 (pp. 1433–1445).
  5. Erl, T. (2008). SOA: Principles of Service Design. Boston, MA: Prentice Hall.
  6. Colomb, R.M. (2007). Ontology and The Semantic Web. Amsterdam: IOS Press.
  7. Colomb, R.M. & Ahmad, M.N. (2007). Merging ontologies requires interlocking institutional worlds. Applied Ontology, 2(1), 1–12.
  8. Dietz, J.L.G. (2006). Enterprise Ontology. New York: Springer-Verlag.
  9. Colomb, R.M., Raymond, K., Hart, L., Emery, P., Welty, C., Xie, G.T. & Kendall, E.K. (2006). The object management group ontology definition metamodel. In C. Calero, F. Ruiz & M. Piattini (eds), Ontologies for Software Engineering and Software Technology (pp. 217–247). Berlin: Springer-Verlag.
  10. Sheth, A., Verma, K. & Gomadam, K. (2006). Semantics to energize the full services spectrum. Communications of the ACM, 49(7), 55–61.
  11. Colomb, R. M. (2006). Formal versus material ontologies for information systems interoperation in the semantic web. The Computer Journal, 49(1), 4–19.
  12. Guizzardi, G. (2005). Ontological Foundations for Structural Conceptual Models. The Netherlands: University of Twente, Telematica Instituut.
  13. Hart, L., Emery, P., Colomb, R. M., Raymond, K., Chang, D., Ye, Y., Kendall, E. F. & Dutra, M. (2004). Usage scenarios and goals for ontology definition metamodel. In X. Zhou, S. Su, M. Papazoglou, M. Orlowska & K. Jeffery (Eds.) Web Information Systems Engineering Conference (WISE’04) 22–24 November, 2004, Brisbane, Australia (pp. 596–607). Berlin LNCS 3306: Springer.
  14. Masolo, C., Borgo, S., Gangemi, A. Guarino, N. Oltramari, A. & Schneider, L. (2003). TheWonderWeb library of foundational ontologies preliminary reportWonderWeb deliverable D17. Laboratory for Applied Ontology, National Research Council of Italy, 2003. Available at: http://www.loa-cnr.it/Papers/ DOLCE2.1-FOL.pdf.
  15. Corcho, O., Fernandez-Lopez, M. and Gomez-Peres, A. (2003). Methodologies, tools and languages for building ontologies. Where is their meeting point? Data & Knowledge Engineering, 46(1), 41-64
  16. Guarino, N. (1998). Formal Ontology and Information Systems. In Proceedings of Formal Ontology in Information Systems (FOIS), Trento, Italy, 6–8 June 1998 (pp. 3–15).
  17. Weber, R. (1997). Ontological Foundations of Information Systems. Melbourne: Coopers and Lybrand.
  18. Colomb, R. M. (1997). Impact of semantic heterogeneity on federating databases. The Computer Journal, 40(5), 235–244.
  19. Uschold, M. and Gruninger, M. (1996). Ontologies: Priciples, methods, and applications. Knowledge Engineering Review, 11(2).
  20. Searle, J.R. (1995). The Construction of Social Reality. New York: The Free Press.
  21. Colomb, R. M. & Orlowska, M. E. (1995). Interoperability in information systems. Information Systems Journal, 5(1), 37–50.
  22. Gruber, T. R. (1993). Toward principles for the design of ontologies used for knowledge sharing. Technical Report KSL 93-04 Knowledge Systems Laboratory Stanford University, Palo Alto, CA.
  23. Gruber, T. R. (1993). A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, 5(2), 199-220.
  24. Hammer, M. (1990). Reengineering work: don’t automate, obliterate. Harvard Business Review, 68(4), 104–112.
  25. Chen, P. P. (1976). The Entity-Relationship Model: towards a unified view of data. ACM TODS, 1(1), 9–36.
  26. Austin, J.L. (1962). How to Do Things With Words. London: Oxford University Press

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Ontology: Upper Ontologies / Foundational Ontologies

[A List of Upper-Ontologies]

  1. Guizzardi, G. (2005). Ontological Foundations for Structural Conceptual Models. The Netherlands: University of Twente, Telematica Instituut.

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Ontology: Domain Ontologies

[A List of domain Ontologies]

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Ontology: DEMO Ontology and Its Applications

[EEI] | [Jan Dietz] | [Enterprise Ontology using DEMO] | [DEMO Related Publications]

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Ontology: UFO-A Ontology and Its Applications

[NEMO Research Group] | [Giancarlo Guizzardi]

  1. Carvalho, V. C., Almeida, J.P.A., Fonseca, C.M., & Guizzardi, G. (2017). Multi-level Ontology-based Conceptual Modeling. Data & Knowledge Engineering, 109(May 2017), 3-24.
  2. Jr Santos, P. S., Almeida, J.P.A. & Guizzardi, G. (2013). An Ontology-based analysis and semantics for organizational structure modeling in the ARIS method. Information Systems, 38(5), 690-708.
  3. Goncalves, B., Guizzardi, G. & Pereira Filho, J.G. (2011). Using an ECG reference ontology for semantic interoperability of ECG data. Journal of Biomedical Informatics, 44(1), 126-136.
  4. More please click here: Peer-reviewed

PART II - RESEARCH METHODOLOGY

Design Science Research (DSR) Methodology: Fundamental and Frameworks

[DESRIST Conferences Series @ Springerlink] | [DESRIST Conferences]

  1. Venable, J., Pries-Heje, J., & Baskerville, R. (2016). FEDS: a Framework for Evaluation in Design Science Research. European Journal of Information Systems, 25, 77–89.
  2. Gregor, S and Hevner, A. (2013). Positioning and Presenting Design Science Research for Maximum Impact, MIS Quarterly, 37(2), 337-355.
  3. Geerts, G. L. (2011). A design science research methodology and its application to accounting information systems research. International Journal of Accounting Information Systems, 12(2011), 142-151.
  4. Hevner, A. R., & Chatterjee, S. (2010). Design Research in Information Systems: Theory and Practice. Springer, Dordrecht.
  5. Peffers, K., Tuunanen, T., Rothenberger, M. A., and Chatterjee, S. J. (2008). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45-77.
  6. Kuechler, B. & Vaishnavi, V. (2008). Theory Development in Design Science Research: Anatomy of a Research Project. European Journal of Information Systems, 17(5), 489-504
  7. Gregor, S and Jones, D. (2007). The Anatomy of a Design Theory. Journal of the Association of Information Systems, 8(5), 312-335.
  8. Hevner, A. R., March, S. T., Park, S. and Ram, S. (2004). Design Science Research in Information Systems. Management Information Systems Quarterly, 28(1 (March 2004)), 75-105.
  9. March, S. and Smith, G. (1995). Design and natural science research on information technology. Decision Support System 15(4), 51–66.
  10. Simon, HA. (1996). The sciences of the artificial. 3rd Edition. MIT Press, Cambridge, MA

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Design Science Research (DSR) Methodology and Its Applications: Thesis

  1. Marigo Raftopoulos. (2016). How Organizations Play: Creating Stakehoder Value with Enterprise Gamification. PhD Thesis, College of Design, RMIT, Australia.
  2. Suraya Yaacob. (2016). Visual Representation Design for Collaborative Complex Cognitive Activities. PhD Thesis, Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Malaysia.
  3. Kamal Badr Abd Badr (2016). An Ontological Approach to Conceptual Modeling of Lessons Learned Management. PhD Thesis, Department of Information Systems, Universiti Teknologi Malaysia, Malaysia.
  4. Bahareh Rahmanzadeh Heravi (2012). Ontology-based Standards Development. PhD Thesis, Department of Information Systems, Brunel University, UK.
  5. Siti Hajar Othman (2012). Metamodelling Approach for Managing Disaster Management Knowledge. PhD Thesis, Faculty of Informatics, University of Wollongong, Australia.

Knowledge Management (KM): Fundamental, Processes, Applications