Knowledge Management and Semantic Reasoning: Ontology and Information Theory Enable the Construction of Knowledge Bases and Knowledge Graphs

Authors

Quynh D. Tran, Case Western Reserve UniversityFollow
Ozan Dernek, Case Western Reserve UniversityFollow
Erika I. Barcelos, Case Western Reserve UniversityFollow
Laura S. Bruckman, Case Western Reserve UniversityFollow
Roger H. French, Case Western Reserve UniversityFollow

Author ORCID Identifier

Quynh D. Tran

Ozan Dernek

Erika I. Barcelos

Laura S. Bruckman

Roger H. French

Document Type

Poster

Publication Date

Summer 8-6-2024

Abstract

FAIR (Findable, Accessible, Interoperable, Reusable) principles are guidelines Wilkinson, et. al. (2016) proposed for data governance and stewardship. Ontology is a powerful tool that can achieve many aspects of all four FAIR principles. Unfortunately, there is a misconception about ontology that it is only useful for establishing FAIR data. We need to think beyond data to answer the question “So what?” after an ontology is developed. It is critical to apply FAIR principles to results, analysis, and models, which is where the concept of digital thread comes in. FAIRified results, analysis, and models can be stored in a knowledge base and represented in a knowledge graph (KG), a flexible and extensible representation of knowledge, capable of inductive and deductive reasoning via the inherent structure that allows semantic reasoning, as well as the semantics applied by an ontology as the underlying schema layer. This versatile data structure can also be combined with principles of information theory that can refine the patterns and relationships by minimizing the uncertainties and randomness of the data. In essence, we supply a KG with a knowledge base and a semantic reasoning engine to infer new patterns and relationships as new knowledge, which can be imported back into the knowledge base.

Keywords

information theory, knowledge graph, knowledge base, ontology, FAIR, semantic reasoning

Publication Title

Data Science in Engineering and Life Sciences Symposium

Rights

© The Author(s)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Recommended Citation

Tran, Quynh D.; Dernek, Ozan; Barcelos, Erika I.; Bruckman, Laura S.; and French, Roger H., "Knowledge Management and Semantic Reasoning: Ontology and Information Theory Enable the Construction of Knowledge Bases and Knowledge Graphs" (2024). Researchers, Instructors, & Staff Scholarship. 24.
https://commons.case.edu/staffworks/24