2016
DOI: 10.1016/j.artmed.2016.04.003
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From frames to OWL2: Converting the Foundational Model of Anatomy

Abstract: Objective The Foundational Model of Anatomy (FMA) is an ontology that represents canonical anatomy at levels ranging from the entire body to biological macromolecules, and is rapidly become the primary reference ontology for human anatomy, and a template for model organisms. Prior to this work, the FMA was developed in a knowledge modeling language known as Protégé Frames. Frames is an intuitive representational language, but is no longer the industry standard. Recognizing the need for an official version of t… Show more

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Cited by 17 publications
(13 citation statements)
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References 15 publications
(19 reference statements)
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“…In recent years, various biomedical ontologies, such as FMA (Detwiler, Mejino, & Brinkley, 2016) and SNOMED-CT (Filice & Kahn, 2019), have been widely used in the life science domain (Faria et al, 2018). However, existing biomedical ontologies that cover overlapping domains are mostly developed independently, and the different ways of defining the same biomedical concept yield heterogeneous problems among biomedical ontologies, which hampers their inter-operability.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, various biomedical ontologies, such as FMA (Detwiler, Mejino, & Brinkley, 2016) and SNOMED-CT (Filice & Kahn, 2019), have been widely used in the life science domain (Faria et al, 2018). However, existing biomedical ontologies that cover overlapping domains are mostly developed independently, and the different ways of defining the same biomedical concept yield heterogeneous problems among biomedical ontologies, which hampers their inter-operability.…”
Section: Introductionmentioning
confidence: 99%
“…The development of recent biomedical terminologies has also been heavily influenced by ontologies. Examples are SNOMED CT (Standardized NOmenclature of MEDicine -Clinical Terms) [7], Gene Ontology [8] and the FMA (Foundational Model of Anatomy) [9], which was recently converted to OWL 2 [10].…”
Section: Introductionmentioning
confidence: 99%
“…Limitations mentioned by authors are inadequate representation of knowledge [23], greater expressiveness that can lead pure ontologies to the loss of information in case of transformation into them [16], [17], [25], necessity to work with the completely known characteristics and static knowledge domain [18], representation of the procedural knowledge as a programming code inside frames [18], and the fact that complex structures can decrease the performance of the system inference and execution [15], [19].…”
Section: B Related Work On Knowledge Frame Applicationmentioning
confidence: 99%
“…The widely used way of entering knowledge into the frame knowledge base is manual, i.e., a knowledge engineer enters facts and assertions about the domain based on results of interviews with domain experts and other information about the domain [14]- [17]. Only in case of text analysers automated entering is applied, but the amount of human participation in this process is not clear [18]- [21].…”
Section: B Related Work On Knowledge Frame Applicationmentioning
confidence: 99%
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