An ontology-based method for formalizing and encoding patient colonoscopy preparation using BPMN and OWL2 for automated tool development.

Colonoscopy is a proven procedure for mitigating the incidence of colorectal cancers in late adulthood. Despite its effectiveness, colonoscopy preparation presents several challenges for patients, including issues with adherence and misunderstanding. Information and communication technology (ICT) tools may offer valuable support for modern patients. To enable such tools, computable knowledge bases are essential. In this paper, we describe the development of an ontology-based knowledge graph representing four laxative-based pre-colonoscopy procedures. We used the business process modeling and notation and OWL2 formalisms to manifest machine-readable artifacts that model processes of colonoscopy preparation. Future work will focus on integrating extended knowledge bases from biomedical ontologies and developing prototype ICT tools to support decision-making in colonoscopy preparation.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-01-01
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An ontology-based method for formalizing and encoding patient colonoscopy preparation using BPMN and OWL2 for automated tool development.

A. B. Karthick Anand Babu, Barani Mayilvaganan, Yang Gong, Brooks D. Cash et al.
PubMed
Semantic Web and Ontologies
article

An ontology-based method for formalizing and encoding patient colonoscopy preparation using BPMN and OWL2 for automated tool development.

A. B. Karthick Anand Babu, Barani Mayilvaganan, Yang Gong, Brooks D. Cash, Muhammad Amith, Yue Yu, Yuheng Shi
article en

Abstract

Colonoscopy is a proven procedure for mitigating the incidence of colorectal cancers in late adulthood. Despite its effectiveness, colonoscopy preparation presents several challenges for patients, including issues with adherence and misunderstanding. Information and communication technology (ICT) tools may offer valuable support for modern patients. To enable such tools, computable knowledge bases are essential. In this paper, we describe the development of an ontology-based knowledge graph representing four laxative-based pre-colonoscopy procedures. We used the business process modeling and notation and OWL2 formalisms to manifest machine-readable artifacts that model processes of colonoscopy preparation. Future work will focus on integrating extended knowledge bases from biomedical ontologies and developing prototype ICT tools to support decision-making in colonoscopy preparation.

PubMedVol. 1(1)
John Sealy Hospital (US), The University of Texas Health Science Center (US), The University of Texas Medical Branch at Galveston (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 86%
Semantic Web and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An ontology-based method for formalizing and encoding patient colonoscopy preparation using BPMN and OWL2 for automated tool development. — A. B. Karthick Anand Babu, Barani Mayilvaganan, et al. · PubMed (2025) | TGRS Research Map | TGRS