Evolving Concepts

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Copyright: 2018
Pages: 9
Source title: Concept Parsing Algorithms (CPA) for Textual Analysis and Discovery: Emerging Research and Opportunities
Source Author(s)/Editor(s): Uri Shafrir (University of Toronto, Canada)and Masha Etkind (Ryerson University, Canada)
DOI: 10.4018/978-1-5225-2176-1.ch004

Keywords: Algorithms / Communications Theory / Computer Science & IT / Information Science Reference

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Abstract

This chapter describe the evolution of concepts with Concept Parsing Algorithms (CPA) that captures both the conceptual content and the conceptual structure of a context within a domain of knowledge, and results in a comprehensive, schematic description of important concepts at the time of analysis. Online availability of digital books, journals, comprehensive datasets, etc., lead to the evolution of research methods that expand the potential of CPA for exploring co-occurrence of concepts beyond the literature of a particular area in a knowledge domain, that may also include ‘neighbouring' areas in the knowledge domain. It supports the evolution of the novel research methodology Literature-Based Discovery (LBD).

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