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An Introduction to OWL Sean Bechhofer School of Computer Science University of Manchester, UK http://www.cs.manchester.ac.uk OWL: Web Ontology Language OWL is an ontology language designed for the Semantic Web It provides a rich

  1. An Introduction to OWL Sean Bechhofer School of Computer Science University of Manchester, UK http://www.cs.manchester.ac.uk

  2. OWL: Web Ontology Language • OWL is an ontology language designed for the Semantic Web – It provides a rich collection of operators for forming concept descriptions – It is a W3C standard, promoting interoperation and sharing between applications – It has been designed to be compatible with existing web standards • In this talk, we’ll see some of the motivation behind OWL and some details of the language Introduction to the Semantic Web Tutorial

  3. Towards a Semantic Web • The Web was made possible through established standards – TCP/IP for transporting bits down a wire – HTTP & HTML for transporting and rendering hyperlinked text • Applications able to exploit this common infrastructure – Result is the WWW as we know it • 1st generation web mostly handwritten HTML pages • 2nd generation (current) web often machine generated/active – Both intended for direct human processing/interaction • In next generation web, resources should be more accessible to automated processes – To be achieved via semantic markup – Metadata annotations that describe content/function Introduction to the Semantic Web Tutorial

  4. What’s the Problem? • Consider a typical web page • Markup consists of: – rendering information (e.g., font size and colour) – Hyper-links to related content • Semantic content is accessible to humans but not (easily) to computers… • Requires (at least) NL understanding Introduction to the Semantic Web Tutorial

  5. A Semantic Web — First Steps • Make web resources more accessible to automated processes • Extend existing rendering markup with semantic markup – Metadata annotations that describe content/function of web accessible resources • Use Ontologies to provide vocabulary for annotations – New terms can be formed by combining existing ones – “Formal specification” is accessible to machines • A prerequisite is a standard web ontology language – Need to agree common syntax before we can share semantics – Syntactic web based on standards such as HTTP and HTML Introduction to the Semantic Web Tutorial

  6. Technologies for the Semantic Web • Metadata – Resources are marked-up with descriptions of their content. No good unless everyone speaks the same language ; • Terminologies – provide shared and common vocabularies of a domain, so search engines, agents, authors and users can communicate. No good unless everyone means the same thing ; • Ontologies – provide a shared and common understanding of a domain that can be communicated across people and applications, and will play a major role in supporting information exchange and discovery. Introduction to the Semantic Web Tutorial

  7. Building a Semantic Web • Annotation – Associating metadata with resources • Integration – Integrating information sources • Inference – Reasoning over the information we have. – Could be light-weight (taxonomy) – Could be heavy-weight (logic-style) • Interoperation and Sharing are key goals Introduction to the Semantic Web Tutorial

  8. Languages • Work on Semantic Web has defined of a collection or “stack” of languages. – These languages are then used to support the representation and use of metadata. • The languages provide basic machinery that we can use to represent the extra semantic information needed for the Semantic Web – XML Inference OWL – RDF – RDF(S) Integration Integration RDF(S) – OWL Annotation – … RDF XML Introduction to the Semantic Web Tutorial

  9. Object Oriented Models • Many languages use an “object oriented model” with • Objects/Instances/Individuals – Elements of the domain of discourse • Types/Classes/Concepts – Sets of objects sharing certain characteristics • Relations/Properties/Roles – Sets of pairs (tuples) of objects • Such languages are/can be: – Well understood – Formally specified – (Relatively) easy to use – Amenable to machine processing Introduction to the Semantic Web Tutorial

  10. Structure of an Ontology Ontologies typically have two distinct components: • Names for important concepts in the domain – Paper is a concept whose members are a kind of animal – Person is a concept whose members are persons • Background knowledge/constraints on the domain – A Paper is a kind of ArgumentativeDocument – All participants in a Workshop must be Persons. – No individual can be both an InProceedings and a Journal Introduction to the Semantic Web Tutorial

  11. Formal Languages • The degree of formality of ontology languages varies widely • Increased formality makes languages more amenable to machine processing (e.g. automated reasoning). • The formal semantics provides an unambiguous interpretation of the descriptions. Introduction to the Semantic Web Tutorial

  12. Why Semantics? • What does an expression in an ontology mean ? • The semantics of a language can tell us precisely how to interpret a complex expression. • Well defined semantics are vital if we are to support machine interpretability – They remove ambiguities in the interpretation of the descriptions. Telephone Black ? Introduction to the Semantic Web Tutorial

  13. RDF • RDF stands for Resource Description Framework • It is a W3C Recommendation – http://www.w3.org/RDF • RDF is a graphical formalism ( + XML syntax) – for representing metadata – for describing the semantics of information in a machine- accessible way • Provides a simple data model based on triples. Introduction to the Semantic Web Tutorial

  14. The RDF Data Model • Statements are <subject, predicate, object> triples: – <Sean,hasColleague,Uli> • Can be represented as a graph: hasColleague Sean Uli • Statements describe properties of resources – Resources are identified by URIs. • Properties themselves are also resources (URIs) – Thus we can also say things about properties. Introduction to the Semantic Web Tutorial

  15. Linking Statements • The subject of one statement can be the object of another • Such collections of statements form a directed, labeled graph “Sean K. Bechhofer” hasName hasColleague Sean Uli hasHomePage hasColleague http://www.cs.man.ac.uk/~sattler Carole • Note that the object of a triple can also be a “literal” (a string) Introduction to the Semantic Web Tutorial

  16. RDF Syntax • RDF has a number of different concrete syntaxes – RDF/XML – N3 – NTriples – Turtle • These all give some way of serializing the RDF graph. Introduction to the Semantic Web Tutorial

  17. What does RDF give us? • A mechanism for annotating data and resources. • Single (simple) data model. • Syntactic consistency between names (URIs). • Low level integration of data. • Linked Data (to come….) Introduction to the Semantic Web Tutorial

  18. RDF(S): RDF Schema • RDF gives a formalism for meta data annotation, and a way to write it down, but it does not give any special meaning to vocabulary such as subClassOf or type – Interpretation is an arbitrary binary relation • RDF Schema extends RDF with a schema vocabulary that allows us to define basic vocabulary terms and the relations between those terms – Class, type, subClassOf, – Property, subPropertyOf, range, domain – it gives “extra meaning” to particular RDF predicates and resources – this “extra meaning”, or semantics, specifies how a term should be interpreted Introduction to the Semantic Web Tutorial

  19. RDF(S) Examples • RDF Schema terms (just a few examples): – Class; Property – type; subClassOf – range; domain • These terms are the RDF Schema building blocks (constructors) used to create vocabularies: – <Person,type,Class> – <hasColleague,type,Property> – <Professor,subClassOf,Person> – <Carole,type,Professor> – <hasColleague,range,Person> – <hasColleague,domain,Person> Introduction to the Semantic Web Tutorial

  20. RDF/RDF(S) “Liberality” • No distinction between classes and instances (individuals) <Species,type,Class> <Lion,type,Species> <Leo,type,Lion> • Properties can themselves have properties <hasDaughter,subPropertyOf,hasChild> <hasDaughter,type,familyProperty> • No distinction between language constructors and ontology vocabulary, so constructors can be applied to themselves/each other <type,range,Class> <Property,type,Class> <type,subPropertyOf,subClassOf> Introduction to the Semantic Web Tutorial

  21. RDF/RDF(S) Semantics • RDF semantics given by RDF Model Theory (MT) – IR, a non-empty set of resources – IS, a mapping from V into IR – IP, a distinguished subset of IR (the properties) – IEXT, a mapping from IP into the powerset of IR £ IR • Class interpretation ICEXT induced by IEXT(IS(type)) – ICEXT(C) = {x | (x,C) 2 IEXT(IS(type))} • RDF(S) adds constraints on models – {(x,y), (y,z)} µ IEXT(IS(subClassOf)) ) (x,z) 2 IEXT(IS(subClassOf)) Introduction to the Semantic Web Tutorial

  22. RDF(S) Inference rdfs:Class rdf:type Person rdf:type rdfs:subClassOf rdf:type Academic rdfs:subClassOf rdf:subClassOf Lecturer Introduction to the Semantic Web Tutorial

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