Book Chapter

A posteriori ontology engineering for data-driven science

DDG Gessler, C Joslyn, K Verspoor

Data Intensive Science | Published : 2016

Abstract

This chapter outlines a combined approach to achieve this, taking advantage of two technologies, the mathematical approach of formal concept analysis and the semantic web technologies of the web ontology language. It discusses the approaches that yield a different, and data driven, approach to ontology creation. In a posteriori ontology engineering, one starts with no preconceived concepts. The chapter examines a process to achieve a posteriori ontology engineering. Data-driven, a posteriori ontology engineering does not replace the a priori ontological construction of concepts from the empirical realization of individuals to classes. Data-driven, a posteriori ontology engineering attempts t..

View full abstract

University of Melbourne Researchers