Table of Contents

Knowledge Representation with MultiNet.- Historical Roots.- Basic Concepts.- Semantic Characterization of Objects.- Semantic Characterization of Situations.- The Comparison of Entities.- The Spatio-temporal Characterization of Entities.- Modality and Negation.- Quantification and Pluralities.- The Role of Layer Information in Semantic Representations.- Relations Between Situations.- Lexicon and Knowledge Representation.- Question Answering and Inferences.- Software Tools for the Knowledge Engineer and Sample Applications.- Comparison Between MultiNet and Other Semantic Formalisms or Knowledge Representation Paradigms.- The Representational Means of MultiNet.- Overview and Representational Principles.- Means for Expressing Classification and Stratification.- Relational and Functional Means of Representation.

About the Author

-1961-68 M.S. in Physics from the University Leipzig (Diploma in Quantum Theory)

-1968-69 Research assistant at the University Leipzig

-1970-89 Researcher in the fields of Artificial Intelligence (AI) and Computational Linguistics (CL)

with Robotron, Head of the AI Laboratory

-1976 Ph.D. in Computer Science (Promotion, Dr.rer.nat., in the field of AI)

-1986 Habilitation (Dr.rer.nat.habil.) in the field of Knowledge Representation

-1988-92 Lecturer for Artificial Intelligence at the TU Dresden

-1989-92 Researcher at SRS Dresden and Siemens-Nixdorf (Development of Geographic Information Systems)

- since 1992 Full Professorship at FernUniversität in Hagen

Head of the Chair: Intelligent Information and Communication Systems

-1997-02 Sabbatical Stays at ICSI in Berkeley and at the Universities of Buffalo (USA), Edinburgh, Sheffield and London (Great Britain)