Abstract
In this chapter, we present a Many-Criteria Optimisation and Decision Analysis (MACODA) Ontology and MACODA Knowledge Management Web-Based Platform (named MyCODA, available at http://macoda.club) for the research community. The purpose of this initiative is to allow for the collaborative development of an ontology to represent the MACODA knowledge domain and to make available a set of integrated tools for its use by researchers and practitioners. MyCODA is a knowledge-based platform to identify and describe MACODA research constructs, and to explore how these constructs relate to each other. It is designed to model and systematise the knowledge created by the MACODA research community, supporting features such as querying and reasoning, by means of formal logics, and use cases such as training new learners and finding research gaps in the MACODA research domain.
The authors acknowledge the support provided by the Lorentz Center of University of Leiden—The Netherlands, in the Many-Criteria Optimisation and Decision Analysis (MACODA) Workshop, 16–21 September 2019.
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References
A. Abecker, L. van Elst, Ontologies for knowledge management, in Handbook on Ontologies, ed. by S. Staab, R. Studer (Springer, 2004), pp. 435–454
V. Basto-Fernandes, I. Yevseyeva, A. Deutz, M.T.M. Emmerich, A survey of diversity oriented optimization: problems, indicators, and algorithms, in EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation, (Springer, 2017), pp. 3–23
T. Berners-Lee, J. Hendler, O. Lassila, The semantic web. Sci. Am. 284(5), 34–43 (2001)
W. Borst, Construction of engineering ontologies for knowledge sharing and reuse. Ph.D. thesis, University of Twente, The Netherlands, 1997
P. Busquin et al., Third european report on science & technology indicators: towards a knowledge-based economy. Technical Report (European Commission, Brussels, Belgium, 2003)
M. Musen et al., Protégé. https://protege.stanford.edu/. Accessed 13 May 2020
M.R. Genesereth, N.J. Nilsson, Logical Foundations of Artificial Intelligence, (Morgan Kaufmann Publishers, 1987)
T.R. Gruber, A translation approach to portable ontology specifications. Knowl. Acquis. 5(2), 199–220 (1993)
Information Resources Management. Association, Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, 1st edn. (IGI Global, Hershey, PA, USA, 2018)
I. Jurisica, J. Mylopoulos, E. Yu, Using ontologies for knowledge management: an information systems perspective. Am. Soc. Inf. Sci. 36, 482–496 (1999)
G. Kaur, D. Chaudhary, Evolutionary computation ontology: E-learning system, in Reliability, Infocom Technologies and Optimization (ICRITO), (IEEE Press, 2015), pp. 1–6
L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, M.T.M. Emmerich, Building and using an ontology of preference-based multiobjective evolutionary algorithms, in Evolutionary Multi-criterion Optimization (EMO), (Springer, 2017), pp. 406–421
L. Li, I. Yevseyeva, V. Basto-Fernandes, H. Trautmann, N. Jing, M.T.M. Emmerich, An ontology of preference-based multiobjective metaheuristics (2017)
S. Lohmann, S. Negru, F. Haag, T. Ertl, Visualizing ontologies with VOWL. Semant. Web. 7(4), 399–419 (2016)
N.F. Noy, D.L. McGuinness et al., Ontology development 101: a guide to creating your first ontology (2001). https://protege.stanford.edu/publications/ontology_development/ontology101.pdf. Accessed 2 May 2022
Open Semantic Framework. Ontology best practices. https://wiki.opensemanticframework.org/index.php/Ontology_Best_Practices#cite_note-odp3-3. Accessed 3 June 2020
M. Park, K.-W. Lee, H.-S. Lee, P. Jiayi, J. Yu, Ontology-based construction knowledge retrieval system. KSCE J. Civ. Eng. 17(7), 1654–1663 (2013)
A. Rodríguez-Pose, Leveraging Research, Science and Innovation to Strengthen Social and Regional Cohesion. Technical report (European Commission, Brussels, Belgium, 2015)
H. Scarbrough, J. Swan, J. Preston, I. of Personnel, and Development. Knowledge Management: A Literature Review. Issues in People Management, Institute of Personnel and Development, London, United Kingdom, 1999
C. Semantics, Introduction to the semantic web. https://www.cambridgesemantics.com/blog/semantic-university/intro-semantic-web/. Accessed 6 May 2020
B. Smith, The Blackwell Guide to the Philosophy of Computing and Information, (Wiley, 2008), pp. 153–166
R. Studer, V.R. Benjamins, D. Fensel, Knowledge engineering: principles and methods. Data Knowl. Eng. 25(1–2), 161–197 (1998)
A. Tatnall, Web Technologies: Concepts, Methodologies, Tools, and Applications (Contemporary Research in Information Science and Technology, IGI Global, 2009)
T. Tudorache, C. Nyulas, N.F. Noy, M.A. Musen, Webprotégé: a collaborative ontology editor and knowledge acquisition tool for the web. Semant. Web. 4(1), 89–99 (2013)
W3C, Owl 2 web ontology language document overview (second edition). https://www.w3.org/TR/owl2-overview/. Accessed 11 May 2020
W3C, Owl 2 web ontology language profiles (second edition). https://www.w3.org/TR/owl2-profiles/. Accessed 13 May 2020
W3C, Owl web ontology language overview. https://www.w3.org/TR/2004/REC-owl-features-20040210/#s2. Accessed 11 May 2020
A. Walker, A wiki for business rules in open vocabulary, executable english (2011)
A. Yaman, A. Hallawa, M. Coler, G. Iacca, Presenting the ECO: evolutionary computation ontology, in Applications of Evolutionary Computation, (Springer, Germany, 2017), pp. 603–619
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Basto-Fernandes, V., Salvador, D., Yevseyeva, I., Emmerich, M. (2023). Many-Criteria Optimisation and Decision Analysis Ontology and Knowledge Management. In: Brockhoff, D., Emmerich, M., Naujoks, B., Purshouse, R. (eds) Many-Criteria Optimization and Decision Analysis. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-031-25263-1_13
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