An Ontology-Based Intelligent Information System for Urbanism and Civil Engineering Stefan Trausan-Matu, Anca Neacsu “ Politehnica" University of Bucharest.

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Presentation transcript:

An Ontology-Based Intelligent Information System for Urbanism and Civil Engineering Stefan Trausan-Matu, Anca Neacsu “ Politehnica" University of Bucharest and Romanian Academy Research Institute for Artificial Intelligence Bucharest, Romania

15 May 2007Towntology, Alcala de Henares2 Methodology for ontology development Combination of Pierce ’ s categories  Individuals  Relations  Triples Engeström ’ s theory of activity Hewit ’ s use of triangles in Engeström ’ s diagram

15 May 2007Towntology, Alcala de Henares3 The activity diagram of Engeström

15 May 2007Towntology, Alcala de Henares4

15 May 2007Towntology, Alcala de Henares5 1. Individuals Subjects Objects Communities General artifacts Social rules Division of labor

15 May 2007Towntology, Alcala de Henares6

15 May 2007Towntology, Alcala de Henares7

15 May 2007Towntology, Alcala de Henares8

15 May 2007Towntology, Alcala de Henares9 2. Relations subject – object (owned buildings and cars) subject – rules subject – community community – rules community – object (e.g. buildings, cars, parks) community – divisions of labor (e.g. roles) community – artifacts (e.g. beliefs, documents like acts) object – artifact (property acts, blueprints) object – subject (owner) object – rule (of use)

15 May 2007Towntology, Alcala de Henares10

15 May 2007Towntology, Alcala de Henares11 3. Triples May be triangles in the activity diagram Other mediating artifacts Will be used for knowledge acquisition Intelligent quering

15 May 2007Towntology, Alcala de Henares12 Rules (laws) that apply to an individual in relation to an object

15 May 2007Towntology, Alcala de Henares13 Example The rules that apply for an investor in a highway

15 May 2007Towntology, Alcala de Henares14 Information Systems Provide information to users information retrieval for a query in a collection of data  usually keyword-based navigation (browsing) Store data

15 May 2007Towntology, Alcala de Henares15 Intelligent information systems Identify users ’ personal characteristics (personalize) Try to structure the dialog Meaning(vs. keyword)-based knowledge-based NLP ontology metadata

15 May 2007Towntology, Alcala de Henares16 Personalization knowledge profile goals beliefs intentions perspective

15 May 2007Towntology, Alcala de Henares17 Example of an Intelligent Information System

15 May 2007Towntology, Alcala de Henares18 Further work Specific to the IIS: Implement the knowledge acquisition and knowledge-processing modules General: Develop the socio-cultural ontology Develop software for conflict management in dialogs, based on ontologies and Toulmin ’ s argumentation theory Folksonomy integration support