Chapter 3 RDF. Introduction Problem: What does an XML document mean? – XML is about data structures – Their meaning (semantics) is not apparent to a machine.

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Presentation transcript:

Chapter 3 RDF

Introduction Problem: What does an XML document mean? – XML is about data structures – Their meaning (semantics) is not apparent to a machine RDF is more a data model than a language – Is realized in many different formats RDF define basic semantics – RDFS and OWL define more RDF vocabulary for building rich data models RDF remains domain independent

Example What does this mean? – Are professors also academic staff members? – If someone teaches a course, are they an academic staff member? Can’t say in XML, but can say so in RDFS Grigoris Antoniou Michael Maher David Billington

Example Embedding of elements is just a syntactic constraint No meaning is defined It’s in the documentation or the mind of the viewer Does the machine have a mind? David Billington Discrete Mathematics David Billington Discrete Mathematics

Key Documents All at – RDF/XML Syntax Specification (Revised) Dave Beckett, ed. RDF/XML Syntax Specification (Revised) – RDF Vocabulary Description Language 1.0: RDF Schema Dan Brickley, R.V. Guha, eds. RDF Vocabulary Description Language 1.0: RDF Schema – RDF Primer Frank Manola, Eric Miller, eds. RDF Primer – Resource Description Framework (RDF): Concepts and Abstract Syntax Graham Klyne, Jeremy Carroll, eds. Resource Description Framework (RDF): Concepts and Abstract Syntax – RDF Semantics Patrick Hayes, ed. RDF Semantics – RDF Test Cases Jan Grant, Dave Beckett, eds. RDF Test Cases

RDF is the first SW language XML Encoding Graph stmt(docInst, rdf_type, Document) stmt(personInst, rdf_type, Person) stmt(inroomInst, rdf_type, InRoom) stmt(personInst, holding, docInst) stmt(inroomInst, person, personInst) Triples RDF Data Model Good for Machine Processing Good For Human Viewing Good For Reasoning RDF is a simple language for building graph based representations

The RDF Data Model An RDF document is an unordered collection of statements, each with a subject, predicate and object (aka triples) A triple can be thought of as a labelled arc in a graph Statements describe properties of web resources A resource is any object that can be pointed to by a URI: – a document, a picture, a paragraph on the Web, … – E.g., – a book in the library, a real person (?) – isbn:// –…–… Properties themselves are also resources (URIs) subjectobject predicate

RDF Building Blocks Resources – Things we can talk about, URIs Properties – Special things that represent binary relations Literal data – Strings, integers, dates, … xmldatatypes Statements, aka triples – Subject Predicate Object or – Subject Property Value

URIs are a foundation URI = Uniform Resource Identifier – "The generic set of all names/addresses that are short strings that refer to resources" – URLs (Uniform Resource Locators) are a subset of URIs, used for resources that can be accessed on the web URIs look like “normal” URLs, often with fragment identifiers to point to a document part: – URIs are unambiguous, unlike natural language terms – the web provides a global namespace – We assume references to the same URI are to the same thing

What does a URI mean? Sometimes URIs denote a web resource – denotes a file – We can use RDF to make assertions about the resource, e.g., it’s an image and depicts a person with name Tim Finin, … Sometimes concepts in the external world – E.g., denotes a particular University located in Baltimore – This is done by social convention Cool URIs don’t change –

Simple RDF Example ~finin/talks/idm02/ “Intelligent Information Systems on the Web” dc:Title dc:Creator bib:Aff “Tim Finin” bib:name bib:

RDF Data Model is a Graph Graphs only allow binary relations Higher arity relations must be “reified” (i.e., turned into objects) Represent give(John,Mary,Book32) as three binary relations all involving a common object, giveEvent32 – giver( giveEvent45, John ) – recipient( giveEvent45, Mary ) – gift( giveEvent45, Book32 ) When using RDF, this has to be part of your vocabulary design This is a price we have to pay for using a simple representation

RDF Statements RDF has one predefined scheme (syntax and semantics) for the reification of RDF statements themselves Needed to support assertions about triples – Document32 asserts “John gave Mary a book” – Tom believes John gave Mary a book – “John gave Mary a Book” has 0.33 probability

XML encoding for RDF <rdf:RDF xmlns:rdf=" xmlns:dc=" xmlns:bib=" Intelligent Information Systems on the Web Tim Finin

XML encoding for RDF <rdf:RDF xmlns:rdf=" xmlns:dc=" xmlns:bib=" Intelligent Information Systems on the Web Tim Finin Note that the document is a single RDF element which has attributes defining several namespaces. One for the rdf vocabulary One for the dublin core One for the bib vocabulary

XML encoding for RDF <rdf:RDF xmlns:rdf=" xmlns:dc=" xmlns:bib=" Intelligent Information Systems on the Web Tim Finin Here’s the general way to introduce a “named subject” about which we want to assert some properties and values. We name subjects by referring to their URI. An element in the description tag specify a property and its value

Descriptions Every description makes a statement about a resource There are different ways: – an about attribute: referencing to an existing resource … – an id attribute: creating a new resource … – without a name: creating an anonymous resource …

XML encoding for RDF <rdf:RDF xmlns:rdf=" xmlns:dc=" xmlns:bib=“ xmlns:xsd=“ > Intelligent Information Systems on the Web Tim Finin dc:title is the property (or predicate) It’s value is the literal string “dc:title>Intelligent Information Systems on the Web” By default we assume the datatype is string 22 “27”^^xsd:integer> 22

XML encoding for RDF <rdf:RDF xmlns:rdf=" xmlns:dc=" xmlns:bib=“ xmlns:xsd=“ > Intelligent Information Systems on the Web Tim Finin The value of creator is defined by the nested RDF The nameless description produces a “blank node” In this case, “a thing with a name=“Tim Finin” and …” This style of XML encoding is called “striped”

XML encoding for RDF <rdf:RDF xmlns:rdf=" xmlns:dc=" xmlns:bib=“ xmlns:xsd=“ > Intelligent Information Systems on the Web Tim Finin Note the “self closing” tag The value of the bib:aff property is a resource, not a string Every resource has a URI, every URI refers to a resource How would this be interpreted?

N triple representation RDF can be encoded as a set of triples.. "Intelligent Information Systems on the Web". _:j10949 "Tim Finin". _:j10949 _:j Note the gensym for the anonymous node _:j10949

Triple Notes RDF triples have one of two forms: – Triples are also easily mapped into logic – becoming: (, ) With type(, ) becoming ( ) – Example: subclass(man,person) sex(man,male) domain(sex,animal) man(adam) age(adam,100) Triples are easily stored and managed in DBMS – Flat nature of a triple a good match for relational DBs ; Note: we’re not ; showing the actual ; URIs for clarity

N3 notation for RDF N3 is a compact notation for RDF that is easier for people to read, write and edit. Aka Notation 3, developed by TBL himself. Translators exist between N3 and the XML encoding, such as the web form on – So, it’s just “syntactic sugar” But, XML is largely unreadable and even harder to write

N3 rdf: dc: bib: dc:title "Intelligent Information Systems on the Web" ; dc:creator [ bib:Name "Tim Finin“ ; bib: bib:Aff: " ]. Note special [ … ] syntax for an anonymous node thing prop 1 = value ; prop 2 = value ; … prop n = value.

RDF types RDF has a trivial type system RDFS and OWL extend it greatly Discrete Mathematics David Billington Associate Professor

RDF types – Syntax This abbreviated syntax is very common Discrete Mathematics David Billington Associate Professor

RDF Container Elements rdf:Bag – unordered – may contain multiple occurrences rdf:Seq – ordered – may contain multiple occurrences rdf:Alt – a set of alternatives Content of container elements are named rdf:_1, rdf:_2,... Containers seem a bit messy in RDF, but are needed

RDF Container Example <rdf:RDF xmlns:rdf=" xmlns:uni="

Bags and Seqs are never full! RDF’s semantics is “open world”, so… – There is no possibility ”to close” the container, to say: “these are all elements, there are no more” – RDF is a graph, so: there is no way to exclude the possibility that there is another graph somewhere that describes additional members Collections for groups with only the specified members are described via a predefined collection vocabulary of the types: – rdf:List, rdf:first, rdf:rest, rdf:nil

RDF Lists CIT 2112 is exclusively taught by teachers , , Yuck!

RDF Lists Syntactic Sugar The the rdf:parseType attribute helps

Reification The description David Billington reifies to The statement ID can be used to refer to it If more than one property elements is contained in a description element: they belong to more than one statement! In this case, these statements can be places in a bag, or can be reified separately

Conclusions RDF is a simple data model based on a graph – Independent on any serialization (e.g., XML or N3) RDF has a formal semantics providing a dependable basis for reasoning about the meaning of RDF expressions RDF has an extensible URI-based vocabulary RDF has an XML serialization and can use values represented as XML schema datatypes Anyone can make statements about any resource (open world assumption) RDFS and OWL build on RDF’s foundation by adding vocabulary with well defined semantics (e.g., Class, subClass, etc.)