Corpus ID: 15616277

Associative Networks- Representation and Use of Knowledge by Computers

@inproceedings{Findler1980AssociativeNR,
  title={Associative Networks- Representation and Use of Knowledge by Computers},
  author={N. Findler},
  booktitle={CL},
  year={1980}
}
Upon opening this book and leafing through the pages, one gets the impression of an important compendium. The fourteen articles provide good coverage of semantic networks and related systems for representing knowledge. Their average length of 33 pages is long enough to give each author reasonable scope, yet short enough to permit a variety of viewpoints to be expressed in a single volume. The editor should be commended for his efforts in putting together a wellorganized book instead of just… Expand
Semantic networks: visualizations of knowledge
TLDR
In this consideration of semantic networks as computerized tools, it is believed that none of them has examined the important link between their use as a formal scheme for knowledge representation and their more heuristic use as an informal tool for thinking. Expand
Knowledge Representation and Retrieval for Natural Language Processing
TLDR
ARGOT's representation language, the retriever used to access a knowledge base of sentences of the language, and how their design has been influenced by the task domain and system organization are described. Expand
What's in a Semantic Network?
TLDR
This paper presents a representation language in the notation of FOPC whose form facilitates the design of a semantic-network-like retriever. Expand
Semantic Networks and Neural Nets
TLDR
This report describes a direct way of realizing semantic networks with neuron-like computing units that obviates the need for a centralized knowledge base interpreter and embodies an evidential semantics for knowledge that provides a natural treatment of defaults, exceptions and inconsistent or conflicting information. Expand
Knowledge Representation with MESNET - A Multilayered Extended Semantic Network
TLDR
MESNET is presented in its double function as a cognitive model and as the tar- get language for the semantic interpretation processes in NLU systems with emphasis on the ontological as- pect of knowledge representation. Expand
Semantic Networks
  • J. Barnden
  • Computer Science
  • Encyclopedia of Social Network Analysis and Mining
  • 2014
TLDR
A semantic network or net is a graph structure for representing knowledge in patterns of interconnected nodes and arcs that were first developed for artificial intelligence and machine translation but have long been used in philosophy, psychology, and linguistics. Expand
Structured connectionist models of semantic networks
TLDR
The need for massively parallel realizations of semantic networks is pointed out and it is shown that structured connectionism offers an appropriate computational framework for doing so. Expand
Research toward the development of a lexical knowledge base for natural language processing
This paper documents research toward building a complete lexicon containing all the words found in general newspaper text. It is intended to provide the reader with an understanding of the inherentExpand
Three principles of representation for semantic networks
TLDR
Three rules of representation are presented which achieve greater conceptual simplicity for users, simplifications in semantic net implementations and maintenance, and greater consistency across semantic net applications. Expand
Discrimination Nets, Production Systems, and Semantic Networks: Elements of a Unified Framework
TLDR
A number of formalisms have been used in cognitive science to account for cognition in general and learning in particular, but it is desirable to propose frameworks which span traditional formalisms. Expand
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