Qualitative Spatio-Temporal Reasoning & Spatial Database Design

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Qualitative Spatio-Temporal Reasoning Focus on 2 research topics at the of the University of Liège J-P. Donnay P. Hallot F. Laplanche

Curriculum in «Surveying & Geomatics» in the Faculty of Sciences of the University of Liège Only education programme devoted to this field in the French-speaking Belgian Universities! Any other Bac. Degree in Sciences or Engineering Common 1st year Bachelor Degree in Geographical Sciences 2d year Geography Surveying & Geomatics 3d year Geography Surveying & Geomatics 1st year 2d year Master Degree in Applied Geomatics Master Degree in Applied Geomatics Master Degree in Surveying & Geomatics Master Degree in Surveying & Geomatics Other Master Degrees in Sciences or Engineering Doctorate Degree in Sciences 1

International Education Networks Master Degree in Applied Geomatics Master Degree in Surveying & Geomatics Sherbrooke Montpellier Laval Paris Le Mans - Strasbourg 2

The Chairs and shared research domains Geodesy Photogrammetr y GNSS Staff Topography Remote Sensing Cartography Spatial Analysis GIS Professors: 5 Prof. Assistant (Dr): 1 Researchers - Assistants (PhD Students): 7 Researchers: 5 Tech/Admin: 2 3

Typical applied researches Federal & Regional Agencies GIS design & reengineering See Poster 1 Distributed GISystem based on network technology RTK GPS network assessment «Crime mapping» & «Geographic profiling» Academic subcontracting, Local Authorities & Private Companies Web GIS development Maps and Atlas design and production International projects Geodesy & mathematical cartography (border conflicts) GIS & SDI design 4

Examples of fundamental research topics GNSS See poster 2 Ionosphere Modelling for GALILEO Single-Frequency Users Satellite photogrammetry See poster 3 DTM extraction and validation from SPOT 5 satellite imagery Qualitative spatial reasoning Spatio-temporal reasoning: Lecture 1 GIS design Open Source Spatial Database Design: Lecture 2 5

Qualitative Spatio-Temporal Reasoning Research on a generalized spatio-temporal reasoning model J-P. Donnay P. Hallot F. Laplanche

Outlines Introduction Life-lines representation Research objectives Spatial states Spatio-temporal configurations 7

Qualitative spatio-temporal reasoning Growth of dynamics data acquisition systems (on-board GPS, RFID-tags, Wi-Fi, ) Huge quantity of spatio-temporal data Necessity to develop spatio-temporal reasoning model to extract information Several ways to develop spatio-temporal reasoning model : Combining a spatial and a temporal logic Create a mereotopology from the analysis of spatio-temporal histories Users expects simple systems, useful and easily integrated 8

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Time The wolf eats the red rabbit. Intersection between the ST histories Space Space 10

Spatio-temporal situation Primitive Space Qualitative Spatio-Temporal Reasoning Moving points in a 1D space time No topological intersection between the two life-lines (blue and grey) -> No ST meeting 1D spatial space space Topological touch between the two life-lines (red and grey) -> ST meeting 11

General research objectives The underlying idea of this research is to extract spatio-temporal information by applying topological calculi on the lifelines. Research s steps of PhD : Construct an exhaustive set of ST configurations mixing topological relationships and Allen s time intervals. Develop a ST model based on topological calculi. Study the relevance of such a model / generalisation. 12

Degenerated Topological topological relationships relationships Disjoint Equal Not A Not B Not A and Not B «d» «e» «A» «B» «A B» To fully encompass the ST information complexity, we propose 3 degenerated topological relationships between points. 13

Degenerated topological relationships A «state» is a particular relationships between objects at a given time. JEPD set of relationships: 14

e e d e A e e d e B A e d e A A e d e B B e d e B A e e d e A B e e d e B ST configurations of level 3 with continuity A 1 0 1 δ A 1 1 0 A - 1 1 1 e e d e A 1 0 1 δ A 0 1 0 A - 1 0 1 e e A 1 0 0 δ A 0 1 0 A - 0 0 1 A 1 1 1 δ A 0 1 1 A - 1 0 1 e d e d e A A 0 0 1 δ A 1 1 0 A - 1 1 1 A 0 0 1 δ A 0 1 1 A - 1 1 1 Number of spatio-temporal configurations d d A 0 0 1 δ A 0 0 1 A - 1 1 1 A 0 0 1 δ A 1 0 0 A - 1 1 1 e d e B A 0 1 1 δ A 0 1 1 A - 1 0 1 A 0 1 1 A 0 1 1 with continuity δ A 1 0 1 assumption δ A 0 0 1 : A - 1 1 1 A - 1 Level 2 : 0 1 5 Level 3 : 36 d e e A d e e B Level 4 : 159 Level 5 : 507 Level 6 : 1363 δ A 1 0 1 δ A 0 0 1 without continuity assumption : A - 1 1 1 A - 1 1 1 Level 2 : 26 e e d Level e e A 3 : e e B 126 e d e Level 4 : 626 Level 5 : 3126 Level 6 : 15626 A 1 0 1 δ A 0 1 1 A 1 0 1 A 1 0 0 δ A 1 1 0 A 1 1 1 A 1 1 1 δ A 0 1 1 A - 1 Exhaustive 1 1 A - 1 1list 1 available A - 0 0 1 at http://www.geo.ulg.ac.be/hallot/ A 1 0 1 δ A 1 0 0 A - 1 1 1 A e e A A 1 0 0 δ A 1 0 0 A - 1 1 1 A 0 0 1 δ A 0 1 0 A - 1 0 1 A e e B A 1 1 1 δ A 1 0 1 A - 1 1 1 d e d A 1 0 1 δ A 0 0 1 A - 1 1 1 A 1 1 1 δ A 0 0 1 A - 1 0 1 33 Topological relationships between lines d e A A 0 0 1 δ A 1 0 1 A - 1 1 1 B e e B A 1 1 1 δ A 0 0 1 A - 0 0 1 d e B A 0 1 1 δ A 0 0 1 A - 1 1 1 15

Conclusion and further research Check if generalisation of ST configurations provides enough ST meaning to perform ST analyses. Robot navigation Behaviour monitoring B δb B - A 0 1 1 δa 0 0 1 A - 1 1 1 Extend model to higher spatial dimensions and extend to moving regions or bodies. Crime mapping Check possible integration / combination with others ST models Epidemiology Vehicle monitoring and management B δb B - A 0 0 1 δa 0 0 1 A - 1 1 1 16

Ternary projective relationships model Clementini E. & Billen R. 2006. Modeling and Computing Ternary Projective Relations Between Regions, IEEE Transactions on Knowledge and Data Engineering, 18 (6), pp. 799-814. Qualitative spatial reasoning Binary projective relationships model Billen R., Zlatanova S., Mathonet P. & Boniver F. 2002. The Dimensional Model: a framework to distinguish spatial relationships. in D.Richardson & P. Van Oosterom (Ed.), Advances in Spatial Data Handling. Berlin Heidelberg, Springer-Verlag, pp. 285-298. 17

Spatial Database Design Web2GIS: a spatial database conception environment J-P. Donnay P. Hallot F. Laplanche

Web2GIS Realized in the framework of a PhD defended on September 8th 2006 Assessment: Integrated tools for Spatial Databases conception stay essentially proprietary High cost Lack of standardization Solution : Using Open Source software implementing well-known standards Some problems still penalize Open Source solutions: Maintenance and compatibility problems due to fast update Lack of user-friendly interfaces Lack of technical support 19

Web2GIS Our original solution: Web2GIS Spatial database conception environment centralized on a web server No need of particular tools on client, just a web browser Adapted to a large panel of users Spatial data producers, spatial database designers, spatial data users Giving priority to Open Source products and international standards Apache, Php, PostGIS, MapServer ISO/TC 211 (19 1..), OGC In the philosophy of WEB 2.0 «Web 2.0 is the business revolution in the computer industry caused by the move to the internet as platform» 20

The 5 modules of Web2GIS 21

Web2GIS Feature Cataloguing Module Goal: Generate Feature Catalogues for data producer communities whishing to describe their specifications ISO/TC 211 19110 : Methodology for feature cataloguing Metabase model is inherited from the norm More important purpose than just a textual description Reflection on the concept of object UML design of associations Reflection on the concept of cardinality Possibility to reuse associations during conceptual modelling 22

23

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Web2GIS Conceptual Modelling Module Goal: Offering to the user a conceptual data model generator enabling to deal with specific applications from scratch or from one or several Feature Catalogues UML has been chosen as formalism It s based on a metamodel expressed in UML UML can be extended Metabase model is based on UML metamodel and spatio-temporal extensions ISO 19109 (Rules for application schema) and 19107 (Spatial schema) Topological constraints based on (enriched) CONGOO concepts 25

Concepts taken into account thanks to the notion of package 26

27

Web2GIS Spatial Databases Implementation module Goal: Allowing to generate the schema of a spatial database from one or several UML models and to load data into the tables of this database The «Case tool» part of Web2GIS Automatic generation of spatial databases Data Loading Spatial data: Shapefiles Text files (geometry column in WKT) Non spatial data: Text files 28

Implementation module 29

Data loading in a temporary database Data loading in the final database 30

Web2GIS Cartographic Module Goal: Allowing an end user to visualize and to carry on spatial queries through a cartographic interface 3 types of spatial data PostGIS spatial tables WMS WFS Functionalities: zoom, panning, object identification, classification on field values, links between POSTGIS tables 31

Web2GIS Privileges Management Module Goal: Allowing a project manager to manage efficiently users and privileges for protecting users developments Registration needed before the first use A valid email address is needed Users give a username and password A user receives full privileges on his developments and may provide access to other users 3 levels of privileges Basic: reading Large: reading and edition All: reading, edition, addition/deletion and privileges management 32

Web2GIS - Prospects Reports generators For Feature catalogue and conceptual modelling modules A metadata module Customization of proposed generic profiles (UML models) to generate new meta-database Metadata publication and sharing of spatial data Dealing with the temporal dimension For conceptual modelling and implementation modules Dealing with the third dimension and integration of works on 3D data acquisition 33