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An Ontology-Based Intelligent Information System for
Urbanism andCivil Engineering
Stefan Trausan-Matu, Anca Neacsu“Politehnica" University of Bucharest
andRomanian Academy Research Institute for
Artificial IntelligenceBucharest, Romania
[email protected] http://www.racai.ro/~trausan
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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
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The activity diagram of Engeström
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1. Individuals
SubjectsObjectsCommunitiesGeneral artifactsSocial rulesDivision of labor
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2. Relationssubject – object (owned buildings and cars)subject – rulessubject – communitycommunity – rulescommunity – 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)
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3. Triples
May be triangles in the activity diagramOther mediating artifactsWill be used for knowledge acquisition Intelligent quering
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Rules (laws) that apply to an individual in relation to an object
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Example
The rules that apply for an investor in a highway
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Information Systems
Provide information to users information retrieval for a query in a
collection of data usually keyword-based
navigation (browsing)
Store data
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Intelligent information systems
Identify users’ personal characteristics (personalize) Try to structure the dialog Meaning(vs. keyword)-based knowledge-based NLP ontology metadata
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Personalization
knowledge profile goals beliefs intentions perspective
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Example of an Intelligent Information System
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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
