most citedA semantic approach to mapping the Provenance Ontology to Basic Formal Ontology

15 citations · 24 across the 13 of their papers we have counts for

collaborators

13 papers

cs.AI2025

About the Unreal

John Beverley, Jim Logan, Barry Smith

This paper introduces a framework for representing information about entities that do not exist or may never exist, such as those involving fictional entities, blueprints, simulati…

cs.AI2025

A Path to Loving

John Beverley, Regina Hurley

This work lays the foundations for a rigorous ontological characterization of love, addressing its philosophical complexity and scientific relevance, with particular emphasis on ps…

cs.AI2025

How Group Lives Go Well

John Beverley, Regina Hurley

This paper explores the ontological space of group well being, proposing a framework for representing collective welfare, group functions, and long term contributions within an ont…

q-bio.OT2025

A Fourfold Pathogen Reference Ontology Suite

Shane Babcock, Carter Benson, Giacomo De Colle +8

Infectious diseases remain a critical global health challenge, and the integration of standardized ontologies plays a vital role in managing related data. The Infectious Disease On…

cs.AI2024

Towards a Cyber Information Ontology

David Limbaugh, Mark Jensen, John Beverley

This paper introduces a set of terms that are intended to act as an interface between cyber ontologies (like a file system ontology or a data fusion ontology) and top- and mid-leve…

cs.DB2024★ 15 cited

A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology

Tim Prudhomme, Giacomo De Colle, Austin Liebers +4

The Provenance Ontology (PROV-O) is a World Wide Web Consortium (W3C) recommended ontology used to structure data about provenance across a wide variety of domains. Basic Formal On…

cs.DB2024★ 1 cited

My Ontologist: Evaluating BFO-Based AI for Definition Support

Carter Benson, Alec Sculley, Austin Liebers +1

Generative artificial intelligence (AI), exemplified by the release of GPT-3.5 in 2022, has significantly advanced the potential applications of large language models (LLMs), inclu…

cs.AI2024★ 2 cited

Foundations for Digital Twins

Finn Wilson, Regina Hurley, Dan Maxwell +2

The growing reliance on digital twins across various industries and domains brings with it semantic interoperability challenges. Ontologies are a well-known strategy for addressing…

cs.AI2024★ 1 cited

Capabilities: An Ontology

John Beverley, David Limbaugh, Eric Merrell +2

In our daily lives, as in science and in all other domains, we encounter huge numbers of dispositions (tendencies, potentials, powers) which are realized in processes such as sneez…

cs.AI2024

Grounding Realizable Entities

Michael Rabenberg, Carter Benson, Federico Donato +4

Ontological representations of qualities, dispositions, and roles have been refined over the past decade, clarifying subtle distinctions in life science research. After articulatin…

cs.AI2024

Credentials in the Occupation Ontology

John Beverley, Robin McGill, Sam Smith +7

The term credential encompasses educational certificates, degrees, certifications, and government-issued licenses. An occupational credential is a verification of an individuals qu…

cs.AI2024★ 4 cited

The Common Core Ontologies

Mark Jensen, Giacomo De Colle, Sean Kindya +3

The Common Core Ontologies (CCO) are designed as a mid-level ontology suite that extends the Basic Formal Ontology. CCO has since been increasingly adopted by a broad group of user…

cs.AI2024★ 1 cited

Middle Architecture Criteria

John Beverley, Giacomo De Colle, Mark Jensen +2

Mid-level ontologies are used to integrate terminologies and data across disparate domains. There are, however, no clear, defensible criteria for determining whether a given ontolo…