Abstract
Patterns have been employed as a mechanism for reuse in several phases of software development. Analysis patterns consist of artifacts for reuse during the requirements analysis and conceptual modeling. However, they are generally, documented in a textual manner which is not precise to be treated by a computer, thus limiting the dissemination and a wider reuse. Within the geo-processing area, Spatial Data Infrastructures (SDI) has been used quite effectively as an instrument for the reuse of geospatial data and services. Based on the development of SDIs, this article proposes an Analysis Patterns Reuse Infrastructure (APRI) comprising web services and a metadata representation for the specification of analysis patterns, in order to support the cataloging and reusing of analysis patterns.
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References
Nebert, D.D.: Developing spatial data infrastructures: the SDI Cookbook, version 2.0. (GSDI-Technical Working Group) (2004), http://www.gsdi.org/docs2004/Cookbook/cookbookV2.0.pdf
Davis Júnior, C.A., Alves, L.L.: Local Spatial Data Infrastructures based on a Service-Oriented Architecture. In: 8th Brazilian Symposium on GeoInformatics (GeoInfo 2005), São Paulo, Brazil, pp. 30–45 (2005)
Rajabifard, A., Williamson, I.P.: Spatial data infrastructure, concept, SDI hierarchy and future directions. In: GEOMATICS 1980 Conference, pp. 28–37. NCC, Tehran (2001)
Nogueras-Iso, J., Zarazaga-Soria, F.J., Muro-Medrano, P.R.: Geographic Information Metadata for Spatial Data Infrastructures: Resources, Interoperability and Information Retrieval. Springer-Verlag New York, Inc., Secaucus (2005)
Fowler, M.: Analysis Patterns: Reusable Object Models. Addison-Wesley Publishing (1997)
Blaimer, N., Bortfeldt, A., Pankratz, G.: Patterns in Object-Oriented Analysis, Working Paper No. 451, Faculty of Business Administration and Economics, University of Hagen (Germany) (2010)
Silva, E.O., Lisboa Filho, J., Oliveira, A.P., Gonçalves, G.S.: Improving analysis patterns in the geographic domain using ontological meta-properties. In: 10th International Conference On Enterprise Information Systems (ICEIS), Barcelona, Espanha, pp. 256–261 (2008)
Hamza, H.S.: Improving analysis patterns reuse: An ontological approach. In: Proc. of Ontologies as Software Engineering Artifacts Workshop, OOPSLA 2004 (2004)
FGDC.: Content Standard for Digital Geospatial Metadata Workbook version 2.0. Federal Geographic Data Committee, Metadata Ad Hoc Working Group (2000)
ISO.: Geographic information - Metadata. ISO 19115:2003, International Organization for Standardization (2003)
Dublin Core Metadata Initiative (DCMI), http://www.dublincore.org
National Information Standards Organization - NISO (U.S.).: The Dublin Core Metadata Element Set: an American national standard. NISO Press, Bethesda, MD, USA (2001)
Pantoquilho, M., Raminhos, R., Araújo, J.: Analysis Patterns Specifications: Filling the Gaps. In: II VIKING PLOP, Bergen, Norway (2003)
Doyle, A., Reed, C.: Introduction to OGC Web Services (2001)
Béjar, R., Latre, M.Á., Nogueras-Iso, J., Muro-Medrano, P.R., Zarazaga-Soria, F.J.: An architectural style for spatial data infrastructures. International Journal of Geographical Information Science 23(3), 271–294 (2009)
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da Matta Vegi, L.F., Peixoto, D.A., Soares, L.S., Lisboa-Filho, J., de Paiva Oliveira, A. (2012). An Infrastructure Oriented for Cataloging Services and Reuse of Analysis Patterns. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28115-0_32
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DOI: https://doi.org/10.1007/978-3-642-28115-0_32
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