A CONTRIBUTION TOWARDS THE CONSTRUCTION OF ANALYTIC-SYNTHETIC SYSTEMS OF KNOWLEDGE REPRESENTATION

Abstract

This paper examines linguistic criteria adopted in models of knowledge representation for information retrieval purposes. To this end, it tests the model of syntactic-semantic predication proposed by Café (1999), and aims to contribute towards the construction of analytic-synthetic systems of knowledge representation. This model of predication was applied experimentally to the construction of schemes of knowledge representation using a corpus taken from specific terminology used in Plant Biotechnology. The intention was to identify existing conceptual relations within it and to determine its facets. The research showed that certain rules established themselves as constants over the course of the analyses, making it possible to constitute precise scientific standards of classification. In addition to this, throughout the intense data analysis, the occurrence of both qualitative results and quantitative results relating to the interpretation of the corpus were noted. It was concluded that through the adoption of this model it is possible to identify the conceptual relations and determine the base categories, the facets and their indicators, that are indispensable in the construction of analytic-synthetic constructions. This interpretation of the analysed corpus results in the validation of Café’s proposal as a model of predication to apply to tools of knowledge representation used for information retrieval.