TOWNTOLOGY Genesis of a Project Robert Laurini INSA – Lyon.

Slides:

Advertisements

Similar presentations

French Research Group CASSINI / SIGMA Presentation January 2001.

Advertisements

Julie Bourbeillon 26/07/2005 Multimedia Data Management To Assist Tissue MicroArray Design Laboratoire TIMC-IMAG – Grenoble, France Equipes SIC et RFMQ.

Components of GIS.

Geographic Information Systems “GIS”

0 General information Rate of acceptance 37% Papers from 15 Countries and 5 Geographical Areas –North America 5 –South America 2 –Europe 20 –Asia 2 –Australia.

Laboratoire d'InfoRmatique en Images et Systèmes d'information UMR /06/2015 Vasile-Marian Scuturici and Dejene Ejigu LIRIS-UMR 5205 CNRS, INSA de.

1 Hector DUQUE, Creatis/LIRIS Johan MONTAGNAT, Creatis Jean-Marc PIERSON, LIRIS.

1 Hector DUQUE, Creatis/LIRIS Johan MONTAGNAT, Creatis Jean-Marc PIERSON, LIRIS.

UMC – HCI seminar series 1 Human Computer Interaction Query by Sketch Chi-Ren Shyu Department of Computer Engineering and Computer Science University of.

MS DB Proposal Scott Canaan B. Thomas Golisano College of Computing & Information Sciences.

GTECH 201 Lecture 05 Storing Spatial Data. Leftovers from Last Session From data models to data structures Chrisman’s spheres ANSI Sparc The role of GIScience.

P2P Information Interoperability & Decision Support Domain Application SEMANTIC INTEROP QUERY PROCESSING GIS INTEROP P2P ● Heterogeneous semantic ● Semantic.

1 Data & Database Development. 2 Data File Bit Byte Field Record File Database Entity Attribute Key field Key file management concepts include:

© Anselm SpoerriInfo + Web Tech Course Information Technologies Info + Web Tech Course Anselm Spoerri PhD (MIT) Rutgers University

It’s the Geography, Cupid!. GTECH 201 Lecture 04 Introduction to Spatial Data.

USING GIS TO FOSTER DATA SHARING AND COMMUNICATION SEAN MURPHY IVS BURLINGTON, VT.

ICPCA 2008 Research of architecture for digital campus LBS in Pervasive Computing Environment 1.

CUI - Université de Genève - IAUGCOST C21 - Lyon –– 1 Ontology storage & management and Integration within 3D city models Gilles Falquet Claudine.

F UTURE T RENDS IN GIS. Compared to 10 Years Ago  acquiring data for a new GIS is no longer a major problem.  GPS has become a major sources of new.

Advanced Database Applications Database Indexing and Data Mining CS591-G1 -- Fall 2001 George Kollios Boston University.

Introduction to the course January 9, Points to Cover  What is GIS?  GIS and Geographic Information Science  Components of GIS Spatial data.

Chapter 5 Application Software.

Integrating Multi-Media with Geographical Information in the BORG Architecture R. George Department of Computer Science Clark Atlanta University Atlanta,

FRE 2672 Urban Ontologies : the Towntology prototype towards case studies Chantal BERDIER (EDU), Catherine ROUSSEY (LIRIS)

CUI - Université de Genève - IAUGCOST C21 - Lyon p. 1 Ontology storage & management and Integration within 3D city models Gilles Falquet Claudine.

Laboratoire d'InfoRmatique en Image et Systèmes d'information LIRIS UMR 5205 CNRS/INSA de Lyon/Université Claude Bernard Lyon 1/Université Lumière Lyon.

Institute of Informatics and Telecommunications – NCSR “Demokritos” Bootstrapping ontology evolution with multimedia information extraction C.D. Spyropoulos,

EXCS Sept Knowledge Engineering Meets Software Engineering Hele-Mai Haav Institute of Cybernetics at TUT Software department.

Knowledge based Learning Experience Management on the Semantic Web Feng (Barry) TAO, Hugh Davis Learning Society Lab University of Southampton.

Rencontre franco-espagnole de réalité virtuelle et interaction graphique Girona, December D urban GIS methods and tools for modeling, simulation.

An Ontology-based System for Urban Planning Communication Claudine Métral COST C21 Towntology Workshop Geneva - November 6-7, 2006.

A Framework for the Search And Rescue Domain Abraham Rodríguez-Rodríguez & Miguel Alemán-Flores Department of Computer Science University of Las Palmas.

Introduction to Web Mining Spring What is data mining? Data mining is extraction of useful patterns from data sources, e.g., databases, texts, web,

The Tools of Geography FrancisciWG.1. Remember: Geography is the science that studies the lands, the features, the inhabitants and the phenomena of the.

© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 5-1 Chapter 5 Business Intelligence: Data.

FRE /09/2005 Distributed Source Coding of Still Images Ç. Dikici,R. Guermazi, K. Idrissi, A.Baskurt LIRIS, UMR 5205 CNRS INSA de Lyon, France.

The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.

The Saguaro Digital Library for Natural Asset Management Dr. Sudha RamSudha Ram Advanced Database Research Group Dept. of MIS The University of Arizona.

12th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2006) Multiagent Approach for the Representation of.

SEMANTIC WEB FOR A HOSPITAL

Ihr Logo Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization Turban, Aronson, and Liang.

Research Design for Collaborative Computational Approaches and Scientific Workflows Deana Pennington January 8, 2007.

ICS (072)Database Systems: An Introduction & Review 1 ICS 424 Advanced Database Systems Dr. Muhammad Shafique.

FEN Introduction to the database field:  Applications, concepts and terminology Seminar: Introduction to relational databases.

KMS: A Distributed Hypermedia System for Managing Knowledge in Organizations Robert M Akscyn, Donald L McCracken & Elise Yoder.

© Paradigm Publishing Inc. 5-1 Chapter 5 Application Software.

Technology Guide 3 Data & Database. Agenda Definition File processing problems Database Selection criteria.

Search Engine Architecture

Rupa Tiwari, CSci5980 Fall  Course Material Classification  GIS Encyclopedia Articles  Classification Diagram  Course – Encyclopedia Mapping.

Interoperability & Knowledge Sharing Advisor: Dr. Sudha Ram Dr. Jinsoo Park Kangsuk Kim (former MS Student) Yousub Hwang (Ph.D. Student)

COST C21 Kick-off meeting Urban Ontologies for an improved communication in urban civil engineering projects TOWNTOLOGY Project.

Computer supported cooperative work -Basic concepts

Geospatial Systems Architecture

Lecture 10 Creating and Maintaining Geographic Databases Longley et al., Ch. 10, through section 10.4.

UMR 5205 Grilles de données : vers une grille pervasive ? Lionel Brunie National Institute of Applied Sciences (INSA) LIRIS Laboratory/DRIM Team – UMR.

Towntology Software Tool: A tool for the development of urban planning ontologies Context Architecture Principles Knowledge model Demo Perspectives.

Provenance in Distr. Organ Transplant Management EU PROVENANCE project: an open provenance architecture for distributed.

TOWNTOLOGY Groupware Robert Laurini INSA – Lyon. Objectives Providing tools for ontological engineering Designing sub-ontologies Versioning Consolidation.

- Laboratoire d'InfoRmatique en Image et Systèmes d'information LIRIS UMR 5205 CNRS/INSA.

B usiness- C entric M ethodology For Enterprise Agility & Interoperability Lubash Pyramid Challenges Today’s Approach Doctrine Operations Information Architecture.

Multimedia and Vision Lab, Queen Mary,

Datamining : Refers to extracting or mining knowledge from large amounts of data Applications : Market Analysis Fraud Detection Customer Retention Production.

Pervasive Data Access (PDA) Research Group

Principles of GIS Fundamental database concepts Shaowen Wang

Topics Covered in COSC 6340 Data models (ER, Relational, XML (short))

Intersection of GI and IT

IDEAS Core Model Concept

Data and Applications Security Developments and Directions

Problem Image and Volume Segmentation:

Presentation transcript:

TOWNTOLOGY Genesis of a Project Robert Laurini INSA – Lyon

Genesis Euro Conf. on the Ontology and Epistemology for Spatial Data Standards, September 2000, near Toulon Initial Project "Towntology" –1000 concepts INSA funds ( ) – Two labs –LIRIS (Computing) –EDU (Urban Planning) COST C21 (January 2005)

Objective and means Designing and engineering of an ontology for urban planning and city management Covering the "whole urban field" Splitting the urban fields into sub-fields –from sub-ontologies to one ontology

Towntology principles Pre-consensus sub-ontology Multiple definitions Visual presentation Semantic network Hypertext structure Photos and drawings Origin and traceability of definitions Possibility of updating

Excerpt of the ontology

Biking track

Portal

Project management 1.Aware of each other's expertise 2.Knowing what each partner wants to do 3.Assembling 4.Detecting missing pieces 5.Splitting the cake 6.Agenda

UMR 5205 Laboratoire d’InfoRmatique des Images et des Systèmes d’Information Directeur : Bernard Péroche Directeur-adjoint : Robert Laurini

Principles of pervasive information systems Data bases Docu- ment bases Know- ledge bases Image and video bases 3D object bases

Bases de données d'objets de synthèse Architecture of information and communication systems Real world objects Data, Documents Knowledge Images and videos 3D Objects Information bases Images/ vidéos bases 3D object bases LIRIS Axis 1 Axis 2 Axis 3 Axis 4

GIS databases (past) Indexing data by Peano keys Conceptual modelling Spatio-temporal integrity constraints Hypermaps Visual queries Field-oriented databases GIS federation and interoperability Telegeomonitoring

GIS databases (present) Geographic and urban data quality Spatio-temporal datawarehouses Spatio-temporal data mining Real time GIS databases Physical hypermedia Groupware for urban planning Ontologies for urban planning