Knowledge Representation and the Semantics of Natural Language
(Sprache: Englisch)
Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few...
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Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few decades, the ?ood of digitalized information has been growing tremendously. This tendency will continue with the globali- tion of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical und- standing and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this c- text, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the g- eration of natural language expressions from formal representations. This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.
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.
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.
Inhaltsverzeichnis zu „Knowledge Representation and the Semantics of Natural Language “
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)
Autoren-Porträt von Hermann Helbig
- 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)
Bibliographische Angaben
- Autor: Hermann Helbig
- 2005, 647 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 3540244611
- ISBN-13: 9783540244615
- Erscheinungsdatum: 22.09.2005
Sprache:
Englisch
Rezension zu „Knowledge Representation and the Semantics of Natural Language “
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)
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