Grounding Realizable Entities

Fuente: arXiv
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Main Authors: Rabenberg, Michael, Benson, Carter, Donato, Federico, He, Yongqun, Huffman, Anthony, Babcock, Shane, Beverley, John
Format: Preprint
Published: 2024
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author Rabenberg, Michael
Benson, Carter
Donato, Federico
He, Yongqun
Huffman, Anthony
Babcock, Shane
Beverley, John
author_facet Rabenberg, Michael
Benson, Carter
Donato, Federico
He, Yongqun
Huffman, Anthony
Babcock, Shane
Beverley, John
contents Ontological representations of qualities, dispositions, and roles have been refined over the past decade, clarifying subtle distinctions in life science research. After articulating a widely-used characterization of these entities within the context of Basic Formal Ontology (BFO), we identify gaps in this treatment and motivate the need for supplementing the BFO characterization. By way of supplement, we propose definitions for grounding relations holding between qualities and dispositions, and dispositions and roles, illustrating our proposal by representing subtle aspects of host-pathogen interactions.
format Preprint
id arxiv_https___arxiv_org_abs_2405_00197
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Grounding Realizable Entities
Rabenberg, Michael
Benson, Carter
Donato, Federico
He, Yongqun
Huffman, Anthony
Babcock, Shane
Beverley, John
Artificial Intelligence
Databases
Information Retrieval
Ontological representations of qualities, dispositions, and roles have been refined over the past decade, clarifying subtle distinctions in life science research. After articulating a widely-used characterization of these entities within the context of Basic Formal Ontology (BFO), we identify gaps in this treatment and motivate the need for supplementing the BFO characterization. By way of supplement, we propose definitions for grounding relations holding between qualities and dispositions, and dispositions and roles, illustrating our proposal by representing subtle aspects of host-pathogen interactions.
title Grounding Realizable Entities
topic Artificial Intelligence
Databases
Information Retrieval
url https://arxiv.org/abs/2405.00197