2020 IEEE Third International Conference on Data Stream Mining &Amp; Processing (DSMP) 2020
DOI: 10.1109/dsmp47368.2020.9204107
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Method of Ontology Use in OODA

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Cited by 5 publications
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“…A wide variety of domains have begun to integrate ontologies into tasks, such as information extraction of unstructured text and behavior modeling of intellectual agents. Furthermore, ontologies are seeing increased use both within critical and non-critical health-related domains such as decision support systems within critical care environments, telehealth systems, as well as general human-facing visualization tasks [43][44][45][46][47]. Ontologies can be classified as one of three types: traditional ontologies that describe the structure of reality, expert-created ontologies that describe the entities, relations, and structures of a given domain, and top-level ontologies that interface domain ontologies [40].…”
Section: Ontologiesmentioning
confidence: 99%
“…A wide variety of domains have begun to integrate ontologies into tasks, such as information extraction of unstructured text and behavior modeling of intellectual agents. Furthermore, ontologies are seeing increased use both within critical and non-critical health-related domains such as decision support systems within critical care environments, telehealth systems, as well as general human-facing visualization tasks [43][44][45][46][47]. Ontologies can be classified as one of three types: traditional ontologies that describe the structure of reality, expert-created ontologies that describe the entities, relations, and structures of a given domain, and top-level ontologies that interface domain ontologies [40].…”
Section: Ontologiesmentioning
confidence: 99%