eBook
The Ontology of Physics for Biology : Semantic Modeling of Multiscale, Multidomain Physiological Systems
| Τίτλος: | The Ontology of Physics for Biology : Semantic Modeling of Multiscale, Multidomain Physiological Systems |
|---|---|
| Περιγραφή: | This book introduces semantic representations of multiscale, multidomain physiological systems that link to qualitative reasoning and to quantitative analysis of biophysical processes in health and disease. Two major public health problems, diabetes and hypertension, serve as use-cases to illustrate the depth and rigor of such representations for logical inference and quantitative analysis. Central to this approach is the Ontology of Physics for Biology (OPB) that formally represents the foundations of classical physics and engineering system dynamics that are the basis for our understanding of biomedical entities, processes, and functional relationships.Furthermore, we introduce OPB-based software for annotating and abstracting available biosimulation models for reuse, recombination, and for archiving of physics-based biomedical knowledge. We have formalized and leveraged physics-based biological knowledge as a working view of physiology and biophysics from three distinct perspectives: (1) biologists and biomedical investigators, (2) biophysicists and bioengineers, and (3) biomedical ontologists and informaticists. We present a logical and intuitive semantics of classical physics as a tool for mediating and translating biophysical knowledge among biomedical domains.Daniel L. Cook, MD, PhDJohn H. Gennari, PhDMaxwell L. Neal, PhD |
| Συγγραφείς: | Daniel L. Cook, John H. Gennari, Maxwell L. Neal |
| Resource Type: | eBook. |
| Θέματα: | Biophysics--Computer simulation, Biophysics--Mathematical models, Ontologies (Information retrieval) |
| Categories: | MEDICAL / Informatics, COMPUTERS / Artificial Intelligence / Expert Systems |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3717874 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Ontology of Physics for Biology : Semantic Modeling of Multiscale, Multidomain Physiological Systems – Name: Abstract Label: Description Group: Ab Data: This book introduces semantic representations of multiscale, multidomain physiological systems that link to qualitative reasoning and to quantitative analysis of biophysical processes in health and disease. Two major public health problems, diabetes and hypertension, serve as use-cases to illustrate the depth and rigor of such representations for logical inference and quantitative analysis. Central to this approach is the Ontology of Physics for Biology (OPB) that formally represents the foundations of classical physics and engineering system dynamics that are the basis for our understanding of biomedical entities, processes, and functional relationships.Furthermore, we introduce OPB-based software for annotating and abstracting available biosimulation models for reuse, recombination, and for archiving of physics-based biomedical knowledge. We have formalized and leveraged physics-based biological knowledge as a working view of physiology and biophysics from three distinct perspectives: (1) biologists and biomedical investigators, (2) biophysicists and bioengineers, and (3) biomedical ontologists and informaticists. We present a logical and intuitive semantics of classical physics as a tool for mediating and translating biophysical knowledge among biomedical domains.Daniel L. Cook, MD, PhDJohn H. Gennari, PhDMaxwell L. Neal, PhD – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Daniel+L%2E+Cook%22">Daniel L. Cook</searchLink><br /><searchLink fieldCode="AR" term="%22John+H%2E+Gennari%22">John H. Gennari</searchLink><br /><searchLink fieldCode="AR" term="%22Maxwell+L%2E+Neal%22">Maxwell L. Neal</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Biophysics--Computer+simulation%22">Biophysics--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Biophysics--Mathematical+models%22">Biophysics--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Ontologies+%28Information+retrieval%29%22">Ontologies (Information retrieval)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Informatics%22">MEDICAL / Informatics</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+Expert+Systems%22">COMPUTERS / Artificial Intelligence / Expert Systems</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3717874 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 571.4 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Biophysics--Computer simulation Type: general – SubjectFull: Biophysics--Mathematical models Type: general – SubjectFull: Ontologies (Information retrieval) Type: general Titles: – TitleFull: The Ontology of Physics for Biology : Semantic Modeling of Multiscale, Multidomain Physiological Systems Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Daniel L. Cook – PersonEntity: Name: NameFull: John H. Gennari – PersonEntity: Name: NameFull: Maxwell L. Neal – PersonEntity: Name: NameFull: Daniel L. Cook – PersonEntity: Name: NameFull: John H. Gennari – PersonEntity: Name: NameFull: Maxwell L. Neal IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 06 M: 02 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9781032533100 – Type: isbn-print Value: 9781138598058 – Type: isbn-electronic Value: 9780429469961 – Type: isbn-electronic Value: 9780429892325 – Type: isbn-electronic Value: 9780429892332 Titles: – TitleFull: The Ontology of Physics for Biology : Semantic Modeling of Multiscale, Multidomain Physiological Systems Type: main |
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