Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Monday, June 6, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session B-1 WG II/3 - Technologies for Large Volumes of Spatial Data - Part A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: PROGRAMMING WITH CONSTRAINTS IN AN OBJECT-ORIENTED GIS FRANCOIS BOUILLE

Write comment:: Text parallel in englischer und französischer Sprache abgedruckt.

Document type:: Monograph

Structure type:: Chapter

PROGRAMMING WITH CONSTRAINTS IN AN OBJECT-ORIENTED GIS FRANCOIS BOUILLE 5 AFIN DE LIST f j ité P.M. j ; FORMATION DE S.T., Boîte 1000, Université P.M.Curie, 4 Place Jussieu 75252 PARIS cédex 05, FRANCE ABSTRACT All geographical phenomenons may be easily structured in an object-oriented GIS. The HBDS model is one of the possibilities for doing that. Based upon six basical persistent abstract data types and their extensions, it allows to build a class-based integrated platform as a kernel for GIS design and development. It includes an expert system managing fuzzy rules and facts, and a neural engine allowing automated learning; but for expressing most of constraints in a GIS, the rules are not the universal tool, and the concept of "constraint" must be introduced as a new component which can be defined, handled and applied. It requires a special architecture and a specific vocabulary. This new tool must be used in cooperation with the others, such as the classical "condition" carried by any component, such as more complex tools i.e. the "rule" , the "process" and the "neuron", all concepts making a GIS fully dynamical. These constraints are particularly usefull when simultaneously dealing with several types; they may be strict or fuzzy; we may distinguish too constraints relevant to conditions which must be absolutely verified, and that relevant to conditions which must never happen. As all the components of the HBDS model, constraints have an intrinsic graphical representation, are organized into classes, present their own properties and relationships with other components and between contraints themselves. This new tool introduced in GIS provides a new way of expressing the constraints but requires to take care in programming. | tardive du RESUME Tout phénomène géographique est facilement structuré dans un SIG orienté objet. Le modèle HBDS représente l'une de ces possibilités. Fondé sur six types abstraits de données persistants et sur leurs extensions, il permet de construire une plateforme intégrée orientée objet, constituant un noyau pour la conception et le développement de SIG. Il comprend un systéme expert gérant des faits et régles flous, ainsi qu'un moteur neuronal permettant un apprentissage automatique; mais pour exprimer la plupart des contraintes dans un SIG, les régles ne constituent pas l'outil universel, et le concept de "contrainte" doit étre introduit comme un nouveau composant qui peut étre défini, manipulé et appliqué. Ceci demande une architecture spéciale et un vocabulaire spécifique. Ce nouvel outil doit étre utilisé en coopération avec les autres, tels que la classique "condition" qui peut étre portée par n'importe quel composant, tels que des outils plus complexes comme la "règle", le "processus" et le "neurone", tous ces composants donnant au SIG son aspect dynamique. Ces contraintes sont particuliérement utiles lorsque traitant simultanément de plusieurs types; elles peuvent être strictes ou floues,; l'on peut distinguer aussi les contraintes relevant de conditions qui doivent étre absoluement vérifiées et celles qui traitent de circonstances qui ne doivent jamais arriver. Comme tous les composants du modéle HBDS, les contraintes ont une représentation graphique intrinsèque, sont organisées en classes, presentent leurs propres propriétés et relations, soit avec les autres composants, soit entre contraintes elles mêmes. KEY WORDS: constraint programming, knowledge base, neural model, object-orientation. 1. INTRODUCTION geographical model. That is why we propose to introduce in the GIS area a new way of Most of components in a GIS, for instance dealing programming by using constraints. With urban networks, are easily structured, captured, stored and processed in an object-oriented 2. BRIEF RECALL OF THE HBDS MODEL environment. Such a methodology allows to express most of properties and relationships between the HBDS means "Hypergraph-Based Data Structure; components better than a relational approach could early designed in year 1977 (Bouillé 77a, 77b, 79), do. Nevertheless, most of o.-o. models have some it was progressively developped for providing all the difficulties in expressing the constraints between the interconnected tools a GIS user may require. We geographical elements of a structure. Though the use may distinguish three things: ~the model which is of an expert system is an interesting way, rules do computer-independent, -the complete system, —and not provide a well-suited methodology for the applications, with two major fields: -the oil expressing and applying constraints on a exploration and production, -the Geographic 39

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