Since the initial recognition that human knowledge is structured in a relational manner, technologies have been developed for assessing and analyzing the "structure" of knowledge for a variety of purposes. A computer-based text analytic offline software system, "ALA-Reader," that was developed to assess this knowledge structure (KS) reflected in a text has been modified and improved since its initial announcement (Clariana 2004) through a number of investigations in various kinds of learning environments across several languages. Based on the empirical evidence from the "ALA-Reader," we have recently developed the online version of the "ALA-Reader," called Graphical Interface of Knowledge Structure ("GIKS"), that can immediately convert students' writings into visually represented KS network graphs to indicate specific areas of their knowledge strengths and weaknesses compared to the referent KS (e.g., a teacher), regardless of which language is used. This paper presents an overview of the "ALA-Reader" system and applications, as well as the implication of the "GIKS" system in online contexts.