=Paper= {{Paper |id=Vol-3805/ICBO-2022_paper_8905 |storemode=property |title=Development of Axiomatization for the Cholangiocarcinoma Ontology Using Common Logic Interchange Format |pdfUrl=https://ceur-ws.org/Vol-3805/ICBO-2022_paper_8905.pdf |volume=Vol-3805 |authors=Anuwat Pengput, Alexander D. Diehl |dblpUrl=https://dblp.org/rec/conf/icbo/PengputD22a }} ==Development of Axiomatization for the Cholangiocarcinoma Ontology Using Common Logic Interchange Format== https://ceur-ws.org/Vol-3805/ICBO-2022_paper_8905.pdf
                         Development of Axiomatization for the Cholangiocarcinoma
                         Ontology Using Common Logic Interchange Format
                         Anuwat Pengput 1,2, and Alexander D. Diehl1
                         1
                                Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, 14203, USA
                         2
                                Huaimek District Public Health Office, Ministry of Public Health, Kalasin, 46170, Thailand

                                     Abstract
                                     Introduction: The Cholangiocarcinoma Ontology (CCAO) is an application ontology developed to
                                     describe in a structured and standardized way various findings related to cholangiocarcinoma (CCA).
                                     It is currently applied to document research data elements and electronic health records data of patients
                                     with, or suspected to suffer from, CCA in Thailand. It covers aspects such as verbal screening,
                                     ultrasound screening, and symptoms and diagnosis. To render the CCAO fully compatible with Basic
                                     Formal Ontology 2020 (BFO2020), and to allow for reasoning that goes beyond mere classification,
                                     we are developing a first-order logic axiomatization using the Common Logic Interchange Format
                                     (CLIF).
                                     Methods: We use the same subset and style of CLIF as used in BFO2020. It corresponds to full first-
                                     order logic with negation, equality and multi-argument predicates. The CCAO uses all axioms from
                                     BFO2020, and is expanded to include CLIF-based axioms for relevant terms from BFO-compatible
                                     ontologies such as the Information Artifact Ontology (IAO) and the Ontology for General Medical
                                     Science (OGMS) which hitherto are not yet axiomatized. Whereas the BFO2020 axiomatization
                                     quantifies over particulars and universals and uses a time-indexed instance-of predicate linking the
                                     former to the latter, CCAO also quantifies over concepts. This allows for a formal integration of terms
                                     from non-BFO compatible ontologies such as SNOMED-CT by relating variables that stand for
                                     particulars also to concepts using a non-time-indexed individual-of predicate. A BFO2020-style CLIF
                                     parser was developed which generates various output files listing syntactic and semantic errors or
                                     warnings, predicate templates, and vocabulary used. It produces also grounded and ungrounded logical
                                     derivations in clausal form (CF), conjunctive normal form (CNF) and Kowalski-rules using standard
                                     skolemization. These transformations are used to evaluate and revise CCAO-axioms where needed
                                     and serve also as input for a reasoner capable of term expansion, satisfiability testing and model
                                     generation.
                                     Results: We developed axioms to differentiate intrahepatic CCA from perihilar CCA and distal CCA,
                                     for instance: “(forall (p t) (iff (instance-of p ccao-perihilar-cholangiocarcinoma t) (and (individual-of
                                     p sctid-cholangiocarcinoma-of-perihilar-bile-duct) (instance-of p ccao-cholangiocarcinoma t) (exists
                                     (h) (and (individual-of h uberon-common-hepatic-duct) (overlap p h t))))))”. This axiom generates 5
                                     Kowalski rules, one being (in a Prolog structure): “if([[individual-of,B,sctid-cholangiocarcinoma-of-
                                     perihilar-bile-duct],[individual-of,A,uberon-common-hepatic-duct,C],[instance-of,B,ccao-
                                     cholangiocarcinoma,C],[overlap,B,A,C]]),then([instance-of,B,ccao-perihilar-
                                     cholangiocarcinoma,C]))”.
                                     Conclusion: Moving from Protégé to CLIF is challenging but allows dealing with time-indexing,
                                     negation and quantification over universals, particulars and concepts. The use of a CLIF
                                     parser/generator helps considerably. We will use CLIF to develop axiomatization for all terms in
                                     CCAO and then generate therefrom a slim-downed version compatible with Protégé.
                                     Acknowledgement: We would like to thank Werner Ceusters, MD for valuable suggestions and
                                     software development.
                                     Keywords
                                     cholangiocarcinoma, axiomatization, basic formal ontology, common logic1

                         International Conference on Biomedical Ontology (ICBO 2022),
                         September 25-28, 2022, Ann Arbor, Michigan, USA
                         EMAIL: anuwatpe@buffalo.edu (A. 1); addiehl@buffalo.edu (A.
                         2)
                         ORCID: 0000-0002-0273-1531 (A. 1); 0000-0001-9990-8331 (A.
                         2)
                                          ©️ 2022 Copyright for this paper by its authors. Use permitted under Creative
                                          Commons License Attribution 4.0 International (CC BY 4.0).

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