Why is scale an effective descriptor for data quality? The physical and ontological rationale for imprecision and level of detail

Lecture Notes in Geoinformation and Cartography

Volumn 0, Issue , 2009, Pages 39-61

  Frank, Andrew U ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION;

DATA COLLECTION; DATA COLLECTION PROCESS; DATA QUALITY; DATA-QUALITY MEASURES; DESCRIPTORS; FINITE NUMBER; LEVEL-OF-DETAIL; PRECISE MEASUREMENTS; PROPERTY; RANDOM NOISE;

DATA ACQUISITION;

EID: 85032329501     PISSN: 18632246     EISSN: 18632351     Source Type: Book Series    
DOI: 10.1007/978-3-540-88244-2_4     Document Type: Conference Paper

References (43)

1. Abler R (1987) Review of the Federal Research Agenda. In: International Geographic Information Systems (IGIS) Symposium (IGIS'87), The Research Agenda, Arlington, VA
2. Cardelli L (1997) Type Systems. In: Tucker AB (ed) Handbook of Computer Science and Engineering, CRC Press, pp 2208–2236
3. Chrisman N (1987) Fundamental Principles of Geographic Information Systems. In: Auto-Carto 8, Baltimore, MA, ASPRS & ACSM
4. Couclelis H (1992) People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS. In: Frank AU, Campari I, Formentini U (eds) Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, Springer, Berlin Heidelberg New York, LNCS 639, pp 65–77
5. Egenhofer MJ, Frank AU (1986) Connection between Local and Regional: Additional “Intelligence” Needed. In: FIG XVIII International Congress of Surveyors, Toronto, Canada (June 1-11, 1986)
6. Frank AU (2006) Distinctions Produce a Taxonomic Lattice: Are These the Units of Mentalese?In: International Conference on Formal Ontology in Information Systems (FOIS), Baltimore, Maryland, IOS Press
7. Frank AU (2001) Tiers of Ontology and Consistency Constraints in Geographic Information Systems. International Journal of Geographical Information Science (IJGIS) 75(5 (Special Issue on Ontology of Geographic Information)): 667–678
8. Frank AU (2003) Ontology for Spatio-Temporal Databases. In: Koubarakis M, Sellis T, Frank AU, Grumbach S, Güting RH, Jensen CS, Lorentzos N, Manolopoulos Y, Nardelli E, Pernici B, Schek H-J, Scholl M, Theodoulidis B, Tryfona N (eds) Spatiotemporal Databases: The Chorochronos Approach, Springer, Berlin Heidelberg New York, pp 9–78
9. th International Conference, COSIT 2007, Melbourne, Australia, September 19-23, 2007, Proceedings, Lecture Notes in Computer Science 4736, Springer, Berlin Heidelberg New York, pp 406–420
10. Frank AU (2008a) Analysis of Dependence of Decision Quality on Data Quality. Journal of Geographical Systems 10(1): 71–88
11. Frank AU (2008b) Data Quality - What Can an Ontological Analysis Contribute? In: Spatial Accuracy Assessment in Natural Resources and Environmental Sciences 2008, Shanghai, China, WorldAcademicPress
12. Frank AU (draft 2005) Ontology for GIS. Vienna, Technical University Vienna, Institute for Geoinformation and Cartography
13. Gabora L, Rosch E, Aerts E (2008) Toward an Ecological Theory of Concepts. Ecological Psychology 20(1): 84–116
14. Gibson JJ (1986) The Ecological Approach to Visual Perception, Hillsdale, NJ, Lawrence Erlbaum
15. Goodchild MF, Egenhofer MJ, Kemp KK, Mark DM, Sheppard E (1999) Introduction to the Varenius Project. International Journal of Geographical Information Science (IJGIS) 13(8): 731–745
16. Goodchild MF, Proctor J (1997) Scale in a Digital Geographic World. Geographical & Environmental Modelling 1(1): 5–23
17. Grenon P, Smith B, Goldberg L (2004) Biodynamic Ontology: Applying BFO in the Biomedical Domain. In: Pisanelli DM (ed) Ontologies in Medicine, IOS Press, Amsterdam, pp 20–38.
18. Gruber, T. (2005). “TagOntology - a way to agree on the semantics of tagging data.” Retrieved October 29, 2005., from http://tomgruber.org/writing/tagontology-tagcapm-talk.pdf.
19. Guarino, N. (1995). “Formal Ontology, Conceptual Analysis and Knowledge Re-presentation.” International Journal of Human and Computer Studies. Special Issue on Formal Ontology, Conceptual Analysis and Knowledge Representation, edited by N. Guarino and R. Poli 43(5/6).
20. Heidegger, M. (1927; reprint 1993). Sein und Zeit. Tübingen, Niemeyer.
21. Horn, B. K. P. (1986). Robot Vision. Cambridge, Mass, MIT Press.
22. Husserl (1900/01). Logische Untersuchungen. Halle, M. Niemeyer.
23. Krantz DH, Luce RD, Suppes P, Tversky A (1971) Foundations of Measurement. New York, Academic Press
24. th International Conference, COSIT 2007, Melbourne, Australia, September 19-23, 2007, Proceedings, Lecture Notes in Computer Science 4736, Springer, Berlin Heidelberg New York
25. Lam N, Quattrochi DA (1992) On the issues of scale, resolution, and fractal analysis in the mapping sciences. The Professional Geographer (44): 88–98
26. Marr D (1982) Vision. New York, N.Y., W.H. Freeman
27. McCarthy J, Hayes PJ (1969) Some Philosophical Problems from the Standpoint of Artificial Intelligence. In: Meltzer B, Michie D (eds) Machine Intelligence 4. Edinburgh, Edinburgh University Press, pp 463–502
28. NCGIA (1989a) The U.S. National Center for Geographic Information and Analysis: An Overview of the Agenda for Research and Education. International Journal of Geographical Information Science (IJGIS) 2(3): 117–136
29. NCGIA (1989b) Use and Value of Geographic Information Initiative Four Specialist Meeting, Report and Proceedings, National Center for Geographic Information and Analysis; Department of Surveying Engineering, University of Maine; Department of Geography, SUNY at Buffalo
30. Openshaw S, Charlton M, Wymer C, Craft A (1987) A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets. International Journal of Geographical Information Systems 1(4): 335–358
31. Orth B (1974) Einführung in die Theorie des Messens. Verlag W. Kohlhammer, Stuttgart, Berlin, Köln, Mainz
32. Raubal M (2002). Wayfinding in Built Environments: The Case of Airports. Münster, Solingen, Institut für Geoinformatik, Institut für Geoinformation.
33. Reitsma F, Bittner T (2003) Process, Hierarchy, and Scale. In: Spatial Information Theory, Cognitive and Computational Foundations of Geographic Information Science, International Conference COSIT'03
34. Riedl M (2009) Erstellung von Baulandbilanzen in Tirol. In: 15. Internationale Geodätische Woche Obergurgl, Ötztal Tirol, Wichmann
35. Robinson V, Frank AU (1987) Expert Systems Applied to Problems in Geographic Information Systems: Introduction, Review and Prospects. In: Auto-Carto 8, Baltimore, MA, ASPRS & ACSM
36. Schneider M (1995) Spatial Data Types for Database Systems. Hagen, FernUniversität
37. Searle JR (1995) The Construction of Social Reality. New York, The Free Press
38. Stefanidis A, Nittel S (2005) Geosensor Networks. Boca Raton, Florida: CRC Press
39. th Int. Symposium on Spatial Data Handling, SDH'96, Delft, The Netherlands (August 12-16, 1996), Faculty of Geodectic Engineering, Delft University of Technology
40. Tomlin CD (1983) A Map Algebra. Harvard Computer Graphics Conference, Cambridge, Mass.
41. Zadeh LA (1974) Fuzzy Logic and Its Application to Approximate Reasoning. In: Information Processing, North-Holland Publishing Company
42. Zadeh LA (2002) Some Reflections on Information Granulation and Its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natural Language. In: Data Mining, Rough Sets and Granular Computing, Heidelberg, Germany, Physica-Verlag GmbH
43. Zaibert L, Smith B (2004) Real Estate - Foundations of the Ontology of Property. In: Stuckenschmidt H, Stubkjaer E, Schlieder C (eds) The Ontology and Modelling of Real Estate Transactions: European Jurisdictions, Ashgate Pub Ltd, pp 35–51