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An Ontology-Based Intelligent Information System for Urbanism and Civil Engineering

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 trausan@cs.pub.ro

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An Ontology-Based Intelligent Information System for Urbanism and Civil Engineering

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  1. An Ontology-Based Intelligent Information System for Urbanism andCivil Engineering Stefan Trausan-Matu, Anca Neacsu “Politehnica" University of Bucharest and Romanian Academy Research Institute for Artificial Intelligence Bucharest, Romania trausan@cs.pub.ro http://www.racai.ro/~trausan

  2. 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 Towntology, Alcala de Henares

  3. The activity diagram of Engeström Towntology, Alcala de Henares

  4. Towntology, Alcala de Henares

  5. 1. Individuals • Subjects • Objects • Communities • General artifacts • Social rules • Division of labor Towntology, Alcala de Henares

  6. Towntology, Alcala de Henares

  7. Towntology, Alcala de Henares

  8. Towntology, Alcala de Henares

  9. 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) Towntology, Alcala de Henares

  10. Towntology, Alcala de Henares

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

  12. Rules (laws) that apply to an individual in relation to an object Towntology, Alcala de Henares

  13. Example • The rules that apply for an investor in a highway Towntology, Alcala de Henares

  14. Information Systems • Provide information to users • information retrieval for a query in a collection of data • usually keyword-based • navigation (browsing) • Store data Towntology, Alcala de Henares

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

  16. Personalization • knowledge • profile • goals • beliefs • intentions • perspective Towntology, Alcala de Henares

  17. Example of an Intelligent Information System Towntology, Alcala de Henares

  18. 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 Towntology, Alcala de Henares

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