Document (#40173)

Author

Smiraglia, R.P.

Title

Empirical methods for knowledge evolution across knowledge organization systems

Source

Knowledge organization. 43(2016) no.5, S.351-357

Year

2016

Abstract

Knowledge organization systems, including classifications, can be evaluated and explained by reference to what is called concept theory, attributing to concepts atomic status as basic elements. There are two ways to test knowledge organization systems; both are means of measuring the efficacy of concept theory in specific situations. These are: 1) analyze how well a system represents its warranted concepts; and, 2) analyze how well individual knowledge organization systems are populated with classified target objects. This paper is an attempt to bring together examples from ongoing research to demonstrate the use of empirical approaches to understanding the evolution of knowledge across time as it is represented in knowledge organization systems. The potential for using knowledge organization as a roadmap for the world of knowledge is revealed in the capability of knowledge organization systems to serve as roadmaps and data-mining tools for the knowledge landscape.

Content

Beitrag in: Special Issue: "A Festschrift for Hope A. Olson," Guest Editor Thomas Walker.

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