WATER BODIES AND SENSOR ONTOLOGIES Boyan Brodaric1, Torsten Hahmann2, Michael Gruninger3 1 Geological Survey of Canada, Ottawa, Canada K1A0E9 Email: 2 School of Computing and Information Science,

Source URL: www.ncgia.buffalo.edu

• Ontology
• Information science
• Semantic Web
• Technical communication
• Knowledge representation
• Formal ontology
• Upper ontology
• Web Ontology Language
• Michael Gruninger
• Descriptive Ontology for Linguistic and Cognitive Engineering
• Water
• Semantic spectrum

A Formal Foundation for Process Modeling Christopher Menzel Michael Gruninger ¨

Source URL: philebus.tamu.edu

An Organization Ontology for Enterprise Modelling Mark S. Fox, Mihai Barbuceanu, Michael Gruninger, and Jinxin Lin Enterprise Integration Laboratory Department of Mechanical and Industrial Engineering, University of Toro

Source URL: www.eil.utoronto.ca

PSL and Flow Models Conrad Bock Michael Gruninger[removed]

Source URL: ontolog.cim3.net

• Universal quantification
• Science
• Thesaurus
• Information
• Knowledge
• Knowledge representation
• Projective geometry
• PSL

Ontologies: Principles, Methods and Applications Mike Uschold & Michael Gruninger AIAI-TR-191

Source URL: www.aiai.ed.ac.uk

• Science
• Information science
• Technical communication
• Knowledge
• Knowledge representation
• Enterprise modelling
• Knowledge engineering
• Upper ontology
• Ontology engineering
• Ontology
• Semantic Web
• Information

Methodology for the Design and Evaluation of Ontologies Michael Gruninger and Mark S. Fox Department of Industrial Engineering

Source URL: www.eil.utoronto.ca

• Knowledge
• Enterprise modelling
• TOVE Project
• Logic
• Cyc
• Mereology
• Axiom
• Upper ontology
• Ontology components
• Ontology
• Science
• Information