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Lecture
Ontology Engineering: Concepts and Applications
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Related lectures (32)
In Silico Neuroscience: Data Reproducibility and Reusability
Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.
Knowledge Representation: Semantics and Data Structures
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Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Semantic Web & Information Extraction
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Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.
Semantic Web: Ontologies and RDF Modeling
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Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.
Semantic Web Resources
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Explores popular ontologies and knowledge bases like WordNet, WikiData, Google Knowledge Graph, and Schema.org, as well as Linked Open Data sets.
Semantic Web: Knowledge Graphs
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Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.
Connecting the Dots in Circular Lifecycle Management
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Explores Circular Lifecycle Management, Zero Defect Manufacturing, Big Data Analytics, and Predictive Maintenance in industrial processes.
Semantic Web: Overview and Tools
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Explores the Semantic Web, ontologies, schema mapping, RDF, and knowledge graphs.
Closed-Loop Lifecycle Management
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Explores Closed-Loop Lifecycle Management, Circular Economy, and Zero Defect Manufacturing strategies for sustainable development.
Multiagent Systems: Planning and Coordination
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Explores the use of multi-agent systems for planning, coordination, and task assignment among heterogeneous agents.
Neuroscience Data Analysis
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Explores neuroscience data analysis, emphasizing structured data, computational tools, and the trend of computational neuroscience as a service.
System Modeling Languages
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Explores the significance of System Modeling Languages like OPM, SysML, and Modelica in modern Systems Engineering.
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