The Design Of A System For Designing Knowledge Representation Systems
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Nowledge Representation. Pages 277-281.
Abstract
The use of abstract data types as a basis for designing experimental knowledge representation systems is discussed. Abstract data types are shown to have features in common with several diverse representation formalisms (e.g. semantic networks, frames and KLONE). For example, abstract data types have notions analogous to concept, subconcept and inheritance. The relatively small conceptual distance between abstract data types and knowledge representation formalisms make them an ideal vehicle for implementing such formalisms.
@inproceedings{ijcai1981p56,
title = {The Design Of A System For Designing Knowledge Representation Systems},
author = {Weiner, James L. and Palmer, Martha Stone},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {277--281},
year = {1981},
month = {8},
note = {Nowledge Representation},
url = {https://ijcai.org/proceedings/1981/56},
}
TY - CPAPER TI - The Design Of A System For Designing Knowledge Representation Systems AU - Weiner, James L. AU - Palmer, Martha Stone T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 277 EP - 281 UR - https://ijcai.org/proceedings/1981/56 ER -Copied
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