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OntoBa: Ontology of Biomedical Analysis
Journal of Information & Knowledge Management, 2022In the medical field, ontologies are mainly used to standardise the coding of knowledge, either during the drafting phase of documents or during subsequent processing intended to give them a format which makes them usable for automatic processing. In this sense, they have a normative role analogous to the classical medical terminologies (in particular
Nabil Moussaoui +2 more
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Ontology-Aware Biomedical Relation Extraction
2022Motivation Automatically extracting relationships from biomedical texts among multiple sorts of entities is an essential task in biomedical natural language processing with numerous applications, such as drug development or repurposing, precision medicine, and other biomedical tasks requiring knowledge discovery ...
Ahmad Aghaebrahimian +2 more
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Biomedical Engineering through Ontologies
Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 2014Biomedical engineering is the application of scientific and mathematical principles to practical ends in the medicine and biology fields. It comprises many research directions including computational model of HIV infection, integration of clinical and experimental data, etc.
Lambrini Seremeti, Achilles Kameas
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Modularity Issues in Biomedical Ontologies
2011This keynote addresses modularity issues focusing on biomedical ontologies, with a particular consideration of SNOMED CT. Emphasis is put on approaches that carve out high-coverage subsets addressing specialty-specific documentation needs.
Stefan Schulz 0001, Pablo López-García
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A biomedical ontology on genetic disease
Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, 2017Contemporary researches have revealed that most of the diseases are genetic. It is very important to mine the relation between gene and disease. Ontology is the best method to show the concepts and their relations. This research paper focuses on the development of ontology for the domain of Genetic Diseases. The data is extracted from UMLS.
Aamna Iqtidar +3 more
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Biomedical Ontology Matching as a Service
2014Ontology matching is among the core techniques used for integration and interoperability resolution between biomedical systems. However, due to the excess usage and ever-evolving nature of biomedical data, ontologies are becoming large-scale, and complex; consequently, requiring scalable computational environments with performance and availability in ...
Muhammad Bilal Amin +3 more
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Applications of ontology design patterns in biomedical ontologies.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013Ontology design patterns (ODPs) are a proposed solution to facilitate ontology development, and to help users avoid some of the most frequent modeling mistakes. ODPs originate from similar approaches in software engineering, where software design patterns have become a critical aspect of software development.
Jonathan Mortensen +3 more
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The derives_from relation in biomedical ontologies.
Studies in health technology and informatics, 2007This paper is part of the ongoing efforts within the framework of the Open Biomedical Ontologies (OBO) ontology library to optimize the treatment of relations in biomedical informatics. When ovum and sperm fuse to form a zygote, then the latter is derived from the former.
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A Unified Framework for Biomedical Terminologies and Ontologies
2010The goal of the OBO (Open Biomedical Ontologies) Foundry initiative is to create and maintain an evolving collection of non-overlapping interoperable ontologies that will offer unambiguous representations of the types of entities in biological and biomedical reality. These ontologies are designed to serve non-redundant annotation of data and scientific
Werner Ceusters, Barry Smith 0001
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Developing biomedical ontologies collaboratively.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010The development of ontologies that define entities and relationships among them has become essential for modern work in biomedicine. Ontologies are becoming so large in their coverage that no single centralized group of people can develop them effectively and ontology development becomes a community-based enterprise.
Natalya Fridman Noy +3 more
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