Published Versions 1 Vol 2 (1) : 181–191 2019
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Ontology, ontologies and the “I” of FAIR
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Abstract & Keywords
Abstract: According to the FAIR guiding principles, one of the central attributes for maximizing the added value of information artifacts is interoperability. In this paper, I discuss the importance, and propose a characterization of the notion of Semantic Interoperability. Moreover, I show that a direct con- sequence of this view is that Semantic Interoperability cannot be achieved without the support of, on one hand, (i) ontologies, as meaning contracts capturing the conceptualizations represented in information artifacts and, on the other hand, of (ii) Ontology, as a discipline proposing formal meth- ods and theories for clarifying these conceptualizations and articulating their representations. In particular, I discuss the fundamental role of formal ontological theories (in the latter sense) to properly ground the construction of representation languages, as well as methodological and computational tools for supporting the engineering of ontologies (in the former sense) in the context of FAIR.
Keywords: FAIR, Semantic Interoperability, Ontology, ontologies
Acknowledgments
[1]
M.D. Wilkinson, M. Dumontier, I.J. Aalbersberg, G. Appleton, M. Axton, A. Baak, … & B. Mons. The FAIR guiding principles for scientific data management and stewardship. Scientific Data 3(2016), Article No. 160018. doi: 10.1038/sdata.2016.18.
[2]
C.S. De Souza. The semiotic engineering of human-computer interaction. Cambridge, MA: MIT press, 2005.
[3]
G. Guizzardi. Ontological patterns, anti-patterns and pattern languages for next- generation conceptual modeling. In: Conceptual Modeling – the 33rd International Conference (ER 2014), 2014, pp. 13–27. doi: 10.1007/978-3-319-12206-9_2.
[4]
Y. Wand, & R. Webe. An ontological model of an information system. IEEE Transactions on Software Engineering 16(11)(1990), 1282–1292. doi: 10.1109/32.60316.
[5]
N. Guarino. Formal ontology in information systems. In: Proceedings of the First International Conference (FOIS’98), 1998, pp. 337. doi: 10.1071/CP12149.
[6]
G.H. Mealy. Another look at data. In: AFIPS '67 (Fall) Proceedings of the November 14-16, 1967, Fall Joint Computer Conference, pp. 525-534. doi: 10.1145/1465611.1465682.
[7]
G. Guizzardi, & J. Mylopoulos. Taking it to the next level: Nicola Guarino, formal ontology and conceptual modeling. In: Ontology Makes Sense - Essays in Honor of Nicola Guarino. Amsterdam: IOS Press, 2019, pp. 223–241. doi: 10.3233/978-1-61499-955-3-223.
[8]
A. Collier. Critical realism: An introduction to Roy Bhaskar’s philosophy. Brooklyn, NY: Verso, 1994. isbn: 9780860916024.
[9]
A.B. Benevides, G. Guizzardi, B.F.B. Braga, & J.P.A. Almeida. Validating modal aspects of ontouml conceptual models using automatically generated visual world structures. Journal of Universal Computer Science 16(20)(2010), 2904–2933. doi: 10.3217/jucs-016-20-2904.
[10]
T.P. Sales, & G. Guizzardi. Ontological anti-patterns: Empirically uncovered error- prone structures in ontology-driven conceptual models. Data & Knowledge Engineering 99(2015), 72–104. doi: 10.1016/j.datak.2015.06.004.
[11]
G. Guizzardi. Ontological foundations for structural conceptual models. PhD thesis, University of Twente, Enschede, 2005. Available at: http://doc.utwente.nl/50826/ (accessed 17/08/2019).
[12]
G. Guizzardi. On ontology, ontologies, conceptualizations, modeling languages, and (meta)models. In: Databases and Information Systems IV - Selected Papers from the Seventh International Baltic Conference (DB&IS), 2006, pp. 18–39.
[13]
G. Guizzardi. Theoretical foundations and engineering tools for building ontologies as reference conceptual models. Semantic Web 1(1-2)(2010), 3–10. doi: 10.3233/SW-2010-0015.
[14]
G. Guizzardi, G., Wagner, J.P.A. Almeida, & R.S.S. Guizzardi. Towards ontological foundations for conceptual modeling: The Unified Foundational Ontology (UFO) story. Applied Ontology 10(3-4)(2015), 259–271. doi: 10.3233/AO- 150157.
[15]
N. Guarino. A concise presentation of ITL. In: Processing Declarative Knowledge, International Workshop (PDK’91), 1991, pp. 141–160. doi: 10.1007/BFb0013526.
[16]
N. Guarino. The ontological level. In: R. Casati, B.B. Smith, & G. White (eds.) Philosophy and the Cognitive Sciences. Vienna: Holder-Pichler-Tempsky, 1994, pp. 443–456.
[17]
G. Guizzardi. The role of foundational ontologies for conceptual modeling and domain ontology representation. In: The 7th International Baltic Conference on Databases and Information Systems, 2006, pp. 17–25. doi: 10.1109/DBIS.2006.1678468.
[18]
G. Guizzardi, F.A. Baião, M. Lopes, & R. de Almeida Falbo. The role of foundational ontologies for domain ontology engineering: An industrial case study in the domain of oil and gas exploration and production. International Journal of Information System Modeling and Design 1(2)(2010), 1–22. doi: 10.4018/jismd.2010040101.
[19]
M. Verdonck. Ontology Driven Conceptual Modeling: Model Comprehension, Ontology Selection, and Method Complexity. PhD thesis, University of Ghent, 2018.
[20]
M. Verdonck, F. Gailly, R. Pergl, G. Guizzardi, B. Martins, & O. Pastor. Comparing traditional conceptual modeling with ontology-driven conceptual modeling: An empirical study. Information Systems 81(2019), 92-103. doi: 10.1016/j.is.2018.11.009.
[21]
E. Zambon, & G. Guizzardi. Formal definition of a general ontology pattern language using a graph grammar. In: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems (FedCSIS), 2017, pp. 1–10. doi: 10.15439/2017f001.
[22]
F.B. Ruy, G. Guizzardi, R. de Almeida Falbo, C.C. Reginato, & V.A. Santos. From reference ontologies to ontology patterns and back. Data & Knowledge Engineering 109(2017), 41–69. doi: 10.1016/j.datak.2017.03.004.
[23]
F.B. Ruy, C.C. Reginato, V.A. dos Santos, R. de Almeida Falbo, & G. Guizzardi. Ontology engineering by combining ontology patterns. In: P. Johannesson, M. Lee, S. Liddle, et al. (eds) Conceptual Modeling. ER 2015. Cham: Springer, 2015, pp. 173–186 doi: 10.1007/978-3-319-25264-3_13.
[24]
V. Zamborlini, & G. Guizzardi. On the representation of temporally changing information in OWL. In: Proceedings of the 14th IEEE International Enterprise Distributed Object Computing Conference (EDOCW), 2010, pp. 283–292. doi: 10.1109/edocw.2010.50.
[25]
G. Guizzardi. Logical, ontological and cognitive aspects of object types and cross- world identity with applications to the theory of conceptual spaces. In: Applications of Conceptual Spaces, 2015, pp. 165–186. doi: 10.1007/978-3-319-15021-5_9.
[26]
N. Guarino, & G. Guizzardi. Relationships and events: Towards a general theory of reification and truthmaking. In: AI*IA 2016: Advances in Artificial Intelligence, 2016, pp. 237–249. doi: 10.1007/978-3-319-49130-1_18.
[27]
G. Guizzardi. Modal aspects of object types and part-whole relations and the de re/de dicto distinction. In: International Conference on Advanced Information Systems Engineering, 2007, pp. 5–20. doi: 10.1007/978-3-540-72988-4_2.
[28]
G. Guizzardi, & G. Wagner. Some applications of a unified foundational ontology in business modeling. In: Business Systems Analysis with Ontologies, 2005, pp. 345–367. doi: 10.4018/9781591403395.ch013.
[29]
V.A. Carvalho, J.P.A. Almeida, & G. Guizzardi. Using a well-founded multi-level theory to support the analysis and representation of the powertype pattern in conceptual modeling. In: International Conference on Advanced Information Systems Engineering, 2016, pp. 309–324.
[30]
A. Varzi. Carnapian engineering. In: S. Borgo, R. Ferrario, C. Masolo et al. (eds.) Ontology Makes Sense. Essays in Honor of Nicola Guarino. Amsterdam: IOS Press, 2019, pp. 3–23.
Article and author information
Cite As
G. Guizzardi. Ontology, ontologies and the “I” of FAIR. Data Intelligence 2(2020), 181–191. doi: 10.1162/dint_a_00040
Giancarlo Guizzardi
Giancarlo Guizzardi is currently a professor of computer science and head of the Conceptualand Cognitive Modeling Research Group (CORE) at the Free University of Bozen-Bolzano, Italy.He has a PhD in Computer Science (with the highest distinction) from the University of Twente,The Netherlands. He has been working for more than two decades in the interplay between formaland applied ontology, cognitive science, philosophical logics, linguistics, and computer science(in particular, in the areas of conceptual modeling, enterprise modeling and knowledgerepresentation). He has published circa 270 papers, many of which have received best paperawards in important conferences. He has also played a multitude of roles in key conferences inthe field (e.g., general chair, program committee chair, and keynote speaker). Finally, he is anassociate editor for the Applied Ontology journal, member of a number of international journaleditorial boards, and of the Advisory Board of the International Association for Ontology and itsApplications (IAOA).
0000-0002-3452-553X
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Published: Oct. 17, 2019 (Versions1
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