Journal in preparation
Eschatology Laboratories Inc.
Preparing a peer-reviewed publication venue for state-of-the-art machine learning research where ontology engineering, knowledge graphs, hyperdimensional topology, and formal mathematics meet.
Eschatology Laboratories Inc. is developing an academic journal for research on superset ontologies, graph-to-topology methods, high-dimensional semantic structure, and mathematically grounded ontology construction.
Journal scope
Superset Ontologies
Upper-ontology-grounded, reasoning-centric vocabularies that align domain models, provenance, measurement, identity, and projection into coherent computable structures.
Knowledge Graph Topology
Methods that transform knowledge graphs into topological, manifold, sheaf, or hyperdimensional representations suitable for analysis, inference, and model evaluation.
Mathematical ML
State-of-the-art machine learning work that blends formal semantics, graph representation learning, category-theoretic modelling, and ontology-aware architectures.
Reach out
For editorial inquiries, potential collaborations, or research conversations aligned with the planned journal scope, use the contact below.