Abstract
Due to ever larger ORM models and ORM-represented ontologies, information management and its GUI representation is even more important. One useful mechanism is abstraction, which has received some attention in conceptual modelling and implementation, as well as its foundational characteristics. Extant heuristics for ORM abstractions are examined and enriched with several foundational aspects of abstraction. These improvements are applicable to a wider range of types of representations, including conceptual models and ontologies, thereby not only alleviating the Database Comprehension Problem, but also facilitate conceptual model and ontology browsing.
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References
Bittner, T., Smith, B.: A Theory of Granular Partitions. In: Duckham, M., Goodchild, M.F., Worboys, M.F. (eds.) Foundations of Geographic Information Science, pp. 117–151. Taylor & Francis Books, London (2003)
Bouquet, P., Giunchiglia, F., van Harmelen, F., Serafini, L., Stuckenschmidt, H.: Contextualizing Ontologies. Journal of Web Semantics 1(4), 24 (2004)
Campbell, L.J., Halpin, T.A., Proper, H.A.: Conceptual Schemas with Abstractions: Making flat conceptual schemas more comprehensible. Data & Knowledge Engineering 20(1), 39–85 (1996)
Degtyarenko, K., Contrino, S.: COMe: the ontology of bioinorganic proteins. BMC Structural Biology 4, 3 (2004)
Fonseca, F., Egenhofer, M., Davis, C., Camara, G.: Semantic Granularity in Ontology-Driven Geographic Information Systems. Annals of Mathematics and Artificial Intelligence 36(1-2), 121–151 (2002)
Ghidini, C., Giunchiglia, F.: A semantics for abstraction. Technical Report DIT-03-082, University of Trento, Italy (2003)
Halpin, T.: Information Modeling and Relational Databases. Morgan Kaufmann Publishers, San Francisco (2001)
Hanahan, D., Weinberg, R.A.: The Hallmarks of Cancer. Cell 100, 57–70 (2000)
Hobbs, J.R.: Granularity. In: International Joint Conference on Artificial Intelligence (IJCAI 1985), pp. 432–435 (1985)
Hunter, P.J., Borg, T.: Integration from Proteins to Organs: The Physiome Project. Nature 4(3), 237–243 (2003)
Jaeschke, P., Oberweis, A., Stucky, W.: Extending ER Model Clustering by relationship clustering. In: 12th International Conference on Entity Relationship Approach, Arlington, Texas (1993)
Jarrar, M., Demy, J., Meersman, R.: On Using Conceptual Data Modeling for Ontology Engineering. Journal on Data Semantics Special issue on Best papers from the ER/ODBASE/COOPIS 2002 Conferences 1(1), 185–207 (2003)
Kiriyama, T., Tomiyama, T.: Reasoning about Models across Multiple Ontologies. In: International Qualitative Reasoning Workshop (1993)
Keet, C.M.: Factors affecting ontology development in ecology. In: Ludäscher, B., Raschid, L. (eds.) DILS 2005. LNCS (LNBI), vol. 3615, pp. 46–62. Springer, Heidelberg (2005)
Keet, C.M., Kumar, A.: Applying partitions to infectious diseases. In: XIX International Congress of the European Federation for Medical Informatics, Geneva, Switzerland (2005)
Kumar, A., Smith, B., Novotny, D.D.: Biomedical Informatics and Granularity. Comparative and Functional Genomics 5(6-7), 501–508 (2005)
Kumar, A., Yip, L., Smith, B., Grenon, P.: Bridging the Gap between Medical and Bioinformatics Using Formal Ontological Principles. Computers in Biology and Medicine (In press)
Lind, M.: Making sense of the abstraction heirarchy. In: Cognitive Science Approaches to Process Control (CSAPC 1999), Villeneuve d’Ascq, France (September 21-24 1999)
Mani, I.: A theory of granularity and its application to problems of polysemy and underspecification of meaning. In: Cohn, A.G., Schubert, L.K., Shapiro, S.C. (eds.) Principles of Knowledge Representation and Reasoning (KR 1998), pp. 245–255. Morgan Kaufmann, San Mateo (1998)
Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A.: Ontology Library. WonderWeb Deliverable D18 (v1.0) (2003), http://wonderweb.semanticweb.org
Pandurang Nayak, P., Levy, A.Y.: A semantic theory of abstractions. In: Mellish, C. (ed.) Proceedings of the International Joint Conference on Artificial Intelligence, pp. 196–203. Morgan Kaufmann, San Mateo (1995)
Sontag, E.D.: Some new directions in control theory inspired by systems biology. Systems biology 1(1), 9–18 (2004)
Tett, P., Wilson, H.: From biogeochemical to ecological models of marine microplankton. Journal of Marine Systems 25, 431–446 (2000)
Yu, X., Lau, E., Vicente, K.J., Carter, M.W.: Toward theory-driven, quantitative performance measurement in ergonomics science: the abstraction hierarchy as a framework for data analysis. Theoretical Issues in Ergonomics Science 3(2), 124–142 (2002)
Agricultural Ontology Services, http://www.fao.org/agris/aos
Bad Bug Book, http://www.cfsan.fda.gov/~mow/intro.html
Foundational Model of Anatomy (2003), http://sig.biostr.washington.edu/projects/fm/index.html
Gene Ontology Consortium, http://www.geneontology.org
ISEE Systems, http://www.iseesystems.com
MetaCyc & BioCyc, http://BioCyc.org
Open Biological Ontologies, http://obo.sourceforge.net
Snomed CT, http://www.snomed.org/snomedct/
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Keet, C.M. (2005). Using Abstractions to Facilitate Management of Large ORM Models and Ontologies. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. OTM 2005. Lecture Notes in Computer Science, vol 3762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575863_80
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DOI: https://doi.org/10.1007/11575863_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29739-0
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