mlw 2014 lightning talk - pushing the semantics envelope

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Pushing the Semantics Envelope Charles Greer, Senior Engineer @grechaw


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New Landscape for Data Architecture


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MarkLogic 7: structured RDF data and SPARQL ▪ Precision query ▪ Return bound variables or triples ▪ Joins ▪ Relationships ▪ Taxonomies


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Document-oriented features ▪ Full-text Search ▪ cts:directory-query( $directory ) ▪ cts:collection-query( $collection1, $collection2 ) ▪ cts:document-query( $doc1, $doc2, $doc3 ) ▪ geospatial query ▪ Security ▪ Bitemporal query* ▪ Content Processing Framework


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Documents give context to data -- use them both!

document: uri: /customers/125 permissions: ... contains: marked-up text contains: structured RDF data


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Contextualization Example, Security patients with Hereditary Diseases:

select ?name where { ?p foaf:name ?name ; :diagnosedWith ?d . ?d a :hereditaryDisease . }

Doctor : “John Doe” Patient : n/a

permissions: ROLE_DOCTOR rdf: :patientDoe foaf:name “John Doe” ; :diagnosedWith :hyperCholestrolemia .

permissions: ROLE_ANYONE rdf: :hyperCholestrolemia a :heriditaryDisease ; rdfs:label “High Cholesterol” .


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Documents Contextualize your SPARQL queries ▪ Query within a region:

sem:sparql(“select … where { … }”, cts:path-geospatial-query(...))

▪ Query only within a directory/collection/document

sem:sparql(“select … where { … }”, cts:document-query(...))

▪ Query only documents that match word search

sem:sparql(“select ?thisvalue ?thatvalue where { … }”, cts:word-query(...))


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MarkLogic Semantics Pushes the Envelope ▪ No up-front modelling - load as is.

▪ Choose data suitable for joins and structure - make RDF in documents.

▪ Manage documents as you always have, leverage existing features.

▪ Query RDF within the context of document-oriented query.

▪ The RDF triple store is no longer a separate tech stack - your documents are

already smart.

mlw 2014 lightning talk - pushing the semantics envelope

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