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What is Semantic Knowledge Representation

Encyclopedia of Information Science and Technology, Fifth Edition
Semantic knowledge representation is a field of study which concentrates on using formal symbols to a collection of propositions, objects, object properties and relations among objects.
Published in Chapter:
Semantic and Formal Representation of Cognitive Models for the Metacognitive Architecture CARINA
Alba J. Jerónimo (Universidad de Córdoba, Colombia), María P. Barrera (Universidad de Córdoba, Colombia), Manuel F. Caro (Universidad de Córdoba, Colombia), and Adán A. Gómez (Universidad de Córdoba, Colombia)
Copyright: © 2021 |Pages: 19
DOI: 10.4018/978-1-7998-3479-3.ch005
Abstract
A cognitive model is a computational model of internal information processing mechanisms of the brain for the purposes of comprehension and prediction. CARINA metacognitive architecture runs cognitive models. However, CARINA does not currently have mechanisms to store and learn from cognitive models executed in the past. Semantic knowledge representation is a field of study which concentrates on using formal symbols to a collection of propositions, objects, object properties, and relations among objects. In CARINA Beliefs are a form of represent the semantic knowledge. The aim of this chapter is to formally describe a CARINA-based cognitive model through of denotational mathematics and to represent these models using a technique of semantic knowledge representation called beliefs. All the knowledge received by CARINA is stored in the semantic memory in the form of beliefs. Thus, a cognitive model represented through beliefs will be ready to be stored in semantic memory of the metacognitive architecture CARINA. Finally, an illustrative example is presented.
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More Results
Culturally Aware Mathematics Education Technology
In case of learning materials semantic knowledge representation refers to an ontology of learning objects annotated with metadata information allowing intelligent management of learning objects by search and retrieval tools of a learning environment. In some cases, the microstructure of learning objects also contains semantic information (e.g. Content MathML or OpenMath representation for mathematical formulas).
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