Knowledge Representation and the Semantics of Natural Language [With CD-ROM]

ISBN-13: 9783540244615 / Angielski / Twarda / 2005 / 647 str.

Hermann Helbig

Opis

The book presents an interdisciplinary approach to knowledge representation and the treatment of semantic phenomena of natural language, which is positioned between artificial intelligence, computational linguistics, and cognitive psychology. The proposed method is based on Multilayered Extended Semantic Networks (MultiNets), which can be used for theoretical investigations into the semantics of natural language, for cognitive modeling, for describing lexical entries in a computational lexicon, and for natural language processing (NLP). Part I deals with fundamental problems of semantic knowledge representation and semantic interpretation of natural language phenomena. Part II provides a systematic description of the representational means of MultiNet, one of the most comprehensive and thoroughly specified collections of relations and functions used in real NLP applications. MultiNet is embedded into a system of software tools comprising a workbench for the knowledge engineer, a semantic interpreter translating natural language expressions into formal meaning structures, and a workbench for the computer lexicographer. The book has been used for courses in artificial intelligence at several universities and is one of the cornerstones for teaching computational linguistics in a virtual electronic laboratory.

Spis treści

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.

O autorze

-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)