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Bibliography and further reading
A semantic rule based digital fraud detection
A semantic rule based digital fraud detection
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https://peerj.com/articles/cs-649/
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Sumários SIGARRA
Practical Work | Final delivery
UC Presentation
Class 1: Semantic Web and Linked Data high level concepts
Class 2: Semantic web applications; Introduction to RDF
Class 3: RDF vocabulary and formats
Class 4: Representational State Transfer (talk by Researcher Ricardo Graça, Fraunhofer AICOS)
Class 5: Concepts of RDF Schema
Class 6: Introduction to SPARQL
Class 7: Ontologies. Introduction to OWL language.
Class 9: OWL Properties
Class 12: Summary & Wrap-up. Linked Data. Ontology Evaluation.
Practical Exercises | Sheet 1 : Publishing data on the Semantic Web
Practical exercises | Sheet 2: Resource Description Language Serialization
Practical exercises | Sheet 3: Querying data on the Semantic Web
Practical exercises | Sheet 4: SPARQL queries.
Practical exercises | Sheet 4: SPARQL Queries Proposed Solutions
Practical Exercises | Sheet 5: Protégé
Practical exercises | Sheet 6: Creating an ontology
Practical exercises | Sheet 7: The zebra puzzle
Practical Work Proposals
Practical Work by Laws
Paper template (for final delievery)
Group Selection for Practical Work
WSDL | Survey Checkpoint I
Searching for Patent Data
European Data Portal
Applications of knowledge graphs for food science and industry
OWL Pizzas: Practical Experience of Teaching OWL-DL: Common Errors & Common Patterns
Applications of knowledge graphs for food science and industry ►
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