Research
Research questions and theoretical foundations in knowledge organization, representation, retrieval, and evaluation.
See research focusIndependent research · Information science
Knowledge Organization Research Lab
Organizing knowledge for human understanding and intelligent information systems.
An independent research initiative exploring how knowledge is classified, represented, retrieved, and evaluated—and why these choices matter for people and AI-enabled systems.
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Research, practice, and publication
The lab connects theoretical foundations with documented inquiry, practical investigation, and research communication.
Projects
Experiments and practical investigations that translate conceptual questions into observable methods and evidence.
View work in progressPublications
Research outputs and technical papers, including documented analyses and future working papers.
Explore current directionFeatured research
An evolving research agenda
Current questions guide the lab’s study and the development of future documented work.
Research direction · In development
How can knowledge structures support meaningful retrieval?
This research direction explores how classification, metadata, taxonomies, and semantic relationships influence the way information is found, interpreted, and used in human and AI-enabled environments.
Research notes, methods, and findings will be published here as the work is developed and documented.
About the researcherAbout the researcher
Independent inquiry, grounded in information science
Tati Crizan is an independent researcher and author focused on Knowledge Organization and its relevance to human understanding and intelligent information systems.
Her work examines the principles and methods used to classify, represent, connect, and retrieve knowledge, with an emphasis on conceptual clarity, evidence, and responsible applications of AI.
The lab is being developed as a public record of sustained study, research questions, project documentation, and original scholarly work.