DefinePK

Abstract

This research paper details the design and implementation of an Aligned Domain Knowledge Graph, focusing on constructing a subject-based taxonomy for academic disciplines. The primary objective is to enhance information retrieval tasks, such as indexing, cataloguing, and searching digital documents within repositories, by providing a structured subject system. The study identifies shortcomings in current taxonomies, particularly the lack of a clear, unique identification for each subject. An ontology-driven methodology is employed, involving the characterization of subjects using traits like Philosophy, Logic, Method, Pure, Applied, Soft, and Hard, drawing inspiration from models such as Biglan Classification and Hegelian typology. A knowledge base is populated where each subject is assigned a persistent and opaque IRI with a unique GUID fragment for unambiguous identification. Utilizing a reasoner, the hierarchical taxonomy is automatically inferred based on defined ontological relationships, classifying subjects into disciplines and subcategories. Furthermore, a user-friendly website was developed using Agile methodology to manage and provide access to the taxonomy via search and visualization, addressing user needs for long-term sustainability