Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
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The document outlines a live webinar on GraphDB fundamentals held in January 2018, covering topics such as RDF, RDFS, SPARQL, and ontology. It discusses RDF as a data model for representing information and metadata using triples, introduces SPARQL as a query language for querying RDF data, and explains the significance of ontologies for knowledge representation. Additionally, it provides a brief overview of GraphDB and its capabilities, as well as links to additional resources and support.
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
- 1. Transforming Your Data with GraphDB: GraphDB Fundamentals Live Webinar, January 2018
- 3. Outline o RDF and RDFS o SPARQL Overview o Ontology Overview o GraphDB Overview o GraphDB Workbench Demo o Q&A
- 4. RDF What? Resource Description Framework (RDF) is graph data model that o Formally describes the semantics, or meaning of information o Represents metadata, I.e data about data How? RDF data model consists of triples o That represents links (or edges) on an RDF graph o Where the structure of each triples is Subject, Predicate, Object Example triples: obr:fred br:hasSpouse br:Wilma. obr:fred br:hasAge 25. Where: br refers to the namespace <http://bedrock> so that br:Fred expands to <http://bedrock/Fred> as a Universal Resource Identifier (URI)
- 5. RDF Use Cases o Internal or public platform for data and meta-data publishing o Use case: A big media or scientific publisher needs to expose all internal information assets classified according multiple taxonomies; o Content enrichment and retrieval based on deep data o Use case: A big enterprise organization has tons of knowledge locked into textual documents describing events and entities with complex contextual information o Integration of deep and diverse data o Use case: A big enterprise with a complex knowledge driven business needs to integrate information from multiple data sources
- 7. RDFS o What? RDF schema (RDFS) o Adds concepts such as Resource, Literal, Class and Datatype o Represents metadata, i.e data about data. Adds relationships such as subClassOf, subPropertyOf, domain and range o Provides the means to Define o Classes and properties o Hierarchies of classes and properties Includes rules to infer new statements
- 8. Apply RDFS to Infer New Triples
- 9. Outline o RDF and RDFS o SPARQL Overview o Ontology Overview o GraphDB Overview o GraphDB Workbench Demo o Q&A
- 10. o SPARQL is a SQL-like query language for RDF graph data with the following query types: o SELECT returns tabular results o CONSTRUCT creates a new RDF graph based on query results o ASK returns ‘yes’ if the query has a solution, otherwise ‘no’ o DESCRIBE returns RDF graph data about a resource; useful when the query client does not know the structure of the RDF data in the data source o INSERT inserts triples into a graph o DELETE deletes triples from a graph. What is SPARQL?
- 11. Using SPARQL to Insert Triples o To create an RDF graph, perform these steps: o Define prefixes to URIs with the PREFIX keyword o Use INSERT DATA to signify you want to insert statements. Write the subject-predicate-object statements (triples). o Execute this query. PREFIX br: <http://bedrock/> INSERT DATA { br:fred br:hasSpouse br:wilma . br:fred br:hasChild br:pebbles . br:wilma br:hasChild br:pebbles . br:pebbles br:hasSpouse br:bamm-bamm ; br:hasChild br:roxy, br:chip . }
- 12. Using SPARQL to Select Triples o To access the RDF graph you just created, perform these steps: o Define prefixes to URIs with the PREFIX keyword. o Use SELECT to signify you want to select certain information, and WHERE to signify your conditions, restrictions and filters. o Execute this query. PREFIX br: <http://bedrock/> SELECT ?subject ?predicate ?object WHERE {?subject ?predicate ?object} Subject Predicate Object br:fred br:hasChild br:pebbles br:pebbles br:hasChild br:roxy br:pebbles br:hasChild br:chip br:wilma br:hasChild br:pebbles PREFIX br: <http://bedrock/> SELECT ?subject ?predicate ?object WHERE {?subject ?predicate ?object} Subject Predicate Object br:fred br:hasChild br:pebbles br:pebbles br:hasChild br:roxy br:pebbles br:hasChild br:chip br:wilma br:hasChild br:pebbles
- 13. Using SPARQL to Find Fred’s Grandchildren o To find Fred’s grandchildren, first find out if Fred has any grandchildren: o Define prefixes to URIs with the PREFIX keyword o Use ASK to discover whether Fred has a grandchild, and WHERE to signify your conditions. YES
- 14. Using SPARQL to Find Fred’s Grandchildren Now that we know he has at least one grandchild, perform these steps to find the grandchild(ren): oDefine prefixes to URIs with the PREFIX keyword oUse SELECT to signify you want to select a grandchild, and WHERE to signify your conditions. PREFIX br: <http://bedrock/> SELECT ?grandChild WHERE { br:fred br:hasChild ?child . ?child br:hasChild ?grandChild . } grandChild 1. br:roxy 2. br:chip PREFIX br: <http://bedrock/> SELECT ?grandChild WHERE { br:fred br:hasChild ?child . ?child br:hasChild ?grandChild . } grandChild 1. br:roxy 2. br:chip
- 15. Outline o RDF and RDFS o SPARQL Overview o Ontology Overview o GraphDB Overview o GraphDB Workbench Demo o Q&A
- 16. What is Ontology An ontology is a formal specification that provides sharable and reusable knowledge representation. Examples of formal specifications include: oTaxonomies oVocabularies oThesauri oTopic Maps oLogical Models
- 17. What is in an Ontology? An ontology specification includes descriptions of oConcepts and properties in a domain oRelationships between concepts oConstraints on how the relationships can be used oIndividuals as members of concepts
- 18. The Benefits of an Ontology Ontologies provide: oA common understanding of information oExplicit domain assumptions These provisions are valuable because ontologies: oSupport data integration for analytics oApply domain knowledge to data oSupport interoperation of applications oEnable model-driven applications oReduce the time and cost of application development oImprove data quality, i.e., metadata and provenance
- 19. Outline o RDF and RDFS o SPARQL Overview o Ontology Overview o GraphDB Overview o GraphDB Workbench Demo o Q&A
- 20. What is GraphDB? Enterprise ready Semantic Graph Database, compliant with W3C Standards
- 21. GraphDB™ Editions o GraphDB™ Free o GraphDB™ Standard o GraphDB™ Cloud o GraphDB™ Enterprise #21
- 22. Outline o RDF and RDFS o SPARQL Overview o Ontology Overview o GraphDB Overview o GraphDB Workbench Demo o Q&A
- 23. DEMO
- 24. DEMO Install GraphDB Load Data oUsing GraphDB Workbench import page oUsing OntoRefine Query Data oSPARQL Ask oSPARQL Select oSPARQL Construct Query Monitoring
- 25. DEMO o Search DATA o GraphDB Workbench Autocomplete o GraphDB Connectors – Lucene, Solr, o ElasticSearch o Visualize DATA o Visualize Class Hierarchy o GraphDB Default Visual Graph o GraphDB Custom Visual Graphs
- 26. Support and FAQ’s [email protected] Additional resources: Ontotext: Community Forum and Evaluation Support: http://stackoverflow.com/questions/tagged/graphdb GraphDB Website and Documentation: http://graphdb.ontotext.com Whitepapers, Fundamentals: http://ontotext.com/knowledge-hub/fundamentals/ SPARQL, OWL, and RDF: RDF: http://www.w3.org/TR/rdf11-concepts/ RDFS: http://www.w3.org/TR/rdf-schema/ SPARQL Overview: http://www.w3.org/TR/sparql11-overview/ SPARQL Query: http://www.w3.org/TR/sparql11-query/ SPARQL Update: http://www.w3.org/TR/sparql11-update
- 27. Desislava Hristova, Senior Software Engineer Get your GraphDB Today: http://ontotext.com/products/graphdb/ FactForge: Hub for open data and news about People and Organizations http://factforge.net/ Experience the technology with NOW: Semantic News Portal http://now.ontotext.com Thank you for your attention!