Semantic technology
The ultimate goal of semantic technology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL (Web Ontology Language). These technologies formally represent the meaning involved in information. For example, ontology can describe concepts, relationships between things, and categories of things. These embedded semantics with the data offer significant advantages such as reasoning over data and dealing with heterogeneous data sources.
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Conference on Semantics in Healthcare and Life SciencesDPCIFluid OperationsJans AasmanKatja HoseKnowledge graphKnowledge managementKnowledge representation and reasoningList of wiki softwareMeaningCloudMetadata publishingMicrosoft BingOntology (information science)Ontology engineeringOntotextOpen Semantic FrameworkOutline of technologyProbabilistic semanticsProtégé (software)RDF SchemaResource Description FrameworkSearch-based applicationSemantic IntelligenceSemantic WebSemantic computingSemantic data modelSemantic integrationSemantic matchingSemantic publishingSemantic technologiesSemanticsSemantics (computer science)VOA3RVictoria LemieuxWeb Ontology Language
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Semantic technology
The ultimate goal of semantic technology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL (Web Ontology Language). These technologies formally represent the meaning involved in information. For example, ontology can describe concepts, relationships between things, and categories of things. These embedded semantics with the data offer significant advantages such as reasoning over data and dealing with heterogeneous data sources.
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The ultimate goal of semantic ...... th heterogeneous data sources.
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The ultimate goal of semantic ...... th heterogeneous data sources.
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Semantic technology
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