2. Common Misconceptions
● Is bleeding edge and still experimental
● Has been around a while and isn’t working
● Has a high learning curve and adoption cost
● Is all about unstructured content, nlp and SEO
● Semantic Web data integration is all about
query federation (EII) and never about
warehousing/ETL
● !New revenue stream – there's usually no spin
or too much in Semantic Web
3. Key use cases
● Query federation
● Linking data
● Inferring new data
● Data management
6. RDFS, OWL, SKOS, RIF etc.
● Provide terms and axioms to create vocabularies,
ontologies and rules to describe data
● Also provide means to reason over data for
materialistic and deductive purposes
SubClassOf(
:Father
ObjectIntersectionOf( :Man :Parent )
)
EquivalentClasses(
:NarcisticPerson
ObjectHasSelf( :loves )
)
SubObjectPropertyOf(
ObjectPropertyChain( :hasFather :hasBrother )
:hasUncle
)
8. RDFa
● A means to embed RDF in an HTML document
● RDFa-core, RDFa-lite
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>Books by Marco Pierre White</title>
</head>
<body>
I think White's book
'<span
about="urn:ISBN:0091808189"
typeof="http://purl.org/ontology/bibo/Book"
property="http://purl.org/dc/terms/title"
>Canteen Cuisine</span>'
is well worth getting since although it's quite advanced stuff, he
makes it pretty easy to follow. You might also like
<span
about="urn:ISBN:1596913614"
typeof="http://purl.org/ontology/bibo/Book"
property="http://purl.org/dc/terms/description"
>White's autobiography</span>.
</body>
</html>
9. Current Landscape
● RDF, RDFa:
● Freebase, Facebook, O'Reilly, Google (schema.org,
Rich Snippets)
● SPARQL
● Dbpedia, data.gov.uk, BBC, Open Linked Geo data,
Kasabi
● OWL
● Schemapedia, Swoogle
10. Case Study – VW.co.uk
● Car Options Ontology
● RDFa annotations
● Nutch Crawler
● PCMS data transformer
● Reasoner
● SPARQL endpoint
