Semantic Networks in Artificial Intelligence
Published on 31. July 1992
Book
Hardback
768 pages
978-0-08-042012-7 (ISBN)
Description
Semantic Networks are graphic structures used to represent concepts and knowledge in computers. Key uses include natural language understanding, information retrieval, machine vision, object-oriented analysis and dynamic control of combat aircraft. This major collection addresses every level of reader interested in the field of knowledge representation. Easy to read surveys of the main research families, most written by the founders, are followed by 25 widely varied articles on semantic networks and the conceptual structure of the world. Some extend ideas of philosopher Charles S Peirce 100 years ahead of his time. Others show connections to databases, lattice theory, semiotics, real-world ontology, graph-grammers, lexicography, relational algebras, property inheritance and semantic primitives. Hundreds of pictures show semantic networks as a visual language of thought.
More details
Series
Language
English
Place of publication
Amsterdam
Netherlands
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 280 mm
ISBN-13
978-0-08-042012-7 (9780080420127)
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Schweitzer Classification
Content
Preface, F W Lehmann. Semantic Networks, F W Lehmann. Invited Research Family Summaries. Conceptual dependency and its descendants, S L Lytinen. Conceptual graphs as a universal knowledge representation, J F Sowa. The ECO family, N Cercone et al. The KL-ONE family, W A Woods & J G Schmo;ze. NETL and subsequent path-based inheritance theories, R H Thomason. The preference semantics family, Y Wilks & D Fass. T;e PSN tribe, J Mylopoulos. The SNePS family, S C Shapiro & W J Rapap;rt. Articles. Massively-parallel marker-passing in semantic networks, J A Hendler. Structured connectionist models of semantic networks, L Shastri. Subsumption computed algebraically, C Brink & R A Schmi;t. A model of hierarchies based on graph homomorphisms, H Mili & R Rada. G;anularity hierarchies, G McCalla et al. Beyond IS-A and PART-WHOLE: More semantic network links, J A Markowitz. Sense and preference, B M Slator. A unification-based, integrated natural language processing system, S L Lytinen. A design approach for constructing engineering scenario maps, R Rucker & T A Aldow;isan. A uniform representation for time and space and their mutual constraints, R T Hartley. Exploiting lattices in a theory of space and time, D A Randell & A G Cohn.;Completing sort hierarchies, A G Cohn. Concept lattices and conceptual knowledge systems, R Wille. A conceptual space approach to semantic networks, A Hautamaki. Defeasible inheritance: A lattice based approach, L Padgham. Prototypes in a hybrid language with primitive descriptions, E Franconi et al. Introduction to graph grammars with applications to semantic networks, H Ehrig et al. Pattern associativity and the retrieval of semantic networks, R Levinson. Declarative operations on nets, H Boley. The existential graphs, D D Roberts. Valental aspects of Peircean algebraic logic, R W Burch. Foliated semantic networks: concepts, facts, qualities, R Marty. The "descriptive" component of a hybrid knowledge representation language, G P Zarri. Saying more with frames: slots as classes, R Nado & R Fikes. ;UEST: A model of question answering, A C Graesser et al. Index.