1. Semantic approach to Data
Description
Christopher Matheus
Bell Labs Ireland/Alcatel-Lucent

2. Linked Data & Semantic Web
• Linked Data Principles:
– URI as names
– http URI for name lookup
– provide information about
the data using RDF
– link to other data sets
• RDF:
– Resource Description Framework
– subject – predicate – object
• RDFS and OWL
– Ontology Languages
– Used to define a language of discourse for a domain

3. Use of Ontologies
• Data Modeling
• Define formal “meaning” of terms
• Solid foundation for common APIs
• Consistency checking of data
• Automatically infer implicit information

4. Potential Value to Dublinked
• Describing Data Sets Domains
• transportation
– Improve precision of search • public
• buses
– Improve conceptual organization • schedules
• arrival times
– Connections between data sets
• trains
• traffic
• video cameras
• Describing Data • volume
• motorways
• national routes
– Data models: • planning
• water
• XML schema •…
• RDB schema
• RDFS/OWL ontology
– Inferring implicit information
– Translating between data sets or data types
• E.g., location representation, rdb2rdf, xsparql