Abstract
The visualization and the understanding of large conceptual schemas require the use of specific methods. These methods generate clustered, summarized or focused schemas that are easier to visualize and to understand. All of these methods require computing the importance of each entity type in the schema. In principle, the totality of knowledge defined in the schema could be relevant for the computation of that importance but, up to now, only a small part of that knowledge has been taken into account. In this paper, we extend six existing methods for computing the importance of entity types by taking into account all the relevant knowledge defined in the structural and behavioural parts of the schema. We experimentally evaluate the original and the extended versions of those methods with two large real-world schemas. We present the two main conclusions we have drawn from the experiments.
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References
Olivé, A., Cabot, J.: A research agenda for conceptual schema-centric development. In: Krogstie, J., Opdahl, A.L., Brinkkemper, S. (eds.) Conceptual Modelling in Information Systems Engineering, pp. 319–334. Springer, Heidelberg (2007)
Lindland, O.I., Sindre, G., Sølvberg, A.: Understanding quality in conceptual modeling. IEEE Software 11(2), 42–49 (1994)
Castano, S., Antonellis, V.D., Fugini, M.G., Pernici, B.: Conceptual schema analysis: Techniques and applications. ACM Trans. Database Syst. 23(3), 286–332 (1998)
Moody, D.L., Flitman, A.: A Methodology for Clustering Entity Relationship Models – A Human Information Processing Approach. In: Akoka, J., Bouzeghoub, M., Comyn-Wattiau, I., Métais, E. (eds.) ER 1999. LNCS, vol. 1728, pp. 114–130. Springer, Heidelberg (1999)
Tzitzikas, Y., Hainaut, J.L.: How to tame a very large ER diagram (using link analysis and force-directed drawing algorithms). In: Delcambre, L.M.L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, Ó. (eds.) ER 2005. LNCS, vol. 3716, pp. 144–159. Springer, Heidelberg (2005)
Tzitzikas, Y., Kotzinos, D., Theoharis, Y.: On ranking rdf schema elements (and its application in visualization). J. UCS 13(12), 1854–1880 (2007)
Yu, C., Jagadish, H.V.: Schema summarization. In: Dayal, U., Whang, K.Y., Lomet, D.B., Alonso, G., Lohman, G.M., Kersten, M.L., Cha, S.K., Kim, Y.K. (eds.) VLDB, pp. 319–330. ACM, New York (2006)
Olivé, A.: Conceptual Modeling of Information Systems. Springer, Heidelberg (2007)
Tort, A., Olivé, A.: The osCommerce Conceptual Schema. Universitat Politècnica de Catalunya (2007), http://guifre.lsi.upc.edu/OSCommerce.pdf
Object Management Group (OMG): Unified Modeling Language (UML) Superstructure Specification, version 2.2 (February 2009)
Object Management Group (OMG): Object Constraint Language Specification (OCL), version 2.0 (May 2006)
Baroni, A.L.: Formal definition of object-oriented design metrics. Master’s thesis, Vrije Universiteit Brussel (2002)
Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. In: Computer Networks and ISDN Systems, pp. 107–117. Elsevier Science Publishers B. V., Amsterdam (1998)
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Villegas, A., Olivé, A. (2009). On Computing the Importance of Entity Types in Large Conceptual Schemas. In: Heuser, C.A., Pernul, G. (eds) Advances in Conceptual Modeling - Challenging Perspectives. ER 2009. Lecture Notes in Computer Science, vol 5833. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04947-7_4
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DOI: https://doi.org/10.1007/978-3-642-04947-7_4
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