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Ontology

Ontology.

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Ontology

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  1. Ontology

  2. “... a goal of the Web was that, if the interaction between person and hypertext could be so intuitive that the machine-readable information space gave an accurate representation of the state of people's thoughts, interactions, and work patterns, then machine analysis could become a very powerful management tool, seeing patterns in our work and facilitating our working together through the typical problems which beset the management of large organizations.” History of the Semantic Web • Web was “invented” by Tim Berners-Lee (amongst others), a physicist working at CERN • TBL’s original vision of the Web was much more ambitious than the reality of the existing (syntactic) Web: • TBL (and others) have since been working towards realising this vision, which has become known as the Semantic Web • E.g., article in May 2001 issue of Scientific American…

  3. Scientific American, May 2001: • Realising the complete “vision” is too hard for now (probably) • But we can make a start by adding semantic annotation to web resources

  4. Where we are Today: the Syntactic Web

  5. The Syntactic Web is… • A hypermedia, a digital library • A library of documents called (web pages) interconnected by a hypermedia of links • A database, an application platform • A common portal to applications accessible through web pages, and presenting their results as web pages • A platform for multimedia • BBC Radio 4 anywhere in the world! Terminator 3 trailers! • A naming scheme • Unique identity for those documents A place where computers do the presentation (easy) and people do the linking and interpreting (hard). Why not get computers to do more of the hard work?

  6. Impossible (?) using the Syntactic Web… • Complex queries involving background knowledge • Find information about “animals that use sonar but are not either bats or dolphins” • Locating information in data repositories • Travel enquiries • Prices of goods and services • Results of human genome experiments • Finding and using “web services” • Visualize surface interactions between two proteins • Delegating complex tasks to web “agents” • Book me a holiday next weekend somewhere warm, not too far away, and where they speak French or English

  7. What is 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…

  8. What information can we see… WWW2002 The eleventh international world wide web conference Sheraton waikiki hotel Honolulu, hawaii, USA 7-11 may 2002 1 location 5 days learn interact Registered participants coming from australia, canada, chile denmark, france, germany, ghana, hong kong, india, ireland, italy, japan, malta, new zealand, the netherlands, norway, singapore, switzerland, the united kingdom, the united states, vietnam, zaire Register now On the 7th May Honolulu will provide the backdrop of the eleventh international world wide web conference. This prestigious event … Speakers confirmed Tim berners-lee Tim is the well known inventor of the Web, … Ian Foster Ian is the pioneer of the Grid, the next generation internet …

  9. What information can a machine see… WWW2002 The eleventh international world wide web conference Sheraton waikiki hotel Honolulu, hawaii, USA 7-11 may 2002 1 location 5 days learn interact Registered participants coming from australia, canada, chile denmark, france, germany, ghana, hong kong, india, ireland, italy, japan, malta, new zealand, the netherlands, norway, singapore, switzerland, the united kingdom, the united states, vietnam, zaire Register now On the 7th May Honolulu will provide the backdrop of the eleventh international world wide web conference. This prestigious event … Speakers confirmed Tim berners-lee Tim is the well known inventor of the Web, … Ian Foster Ian is the pioneer of the Grid, the next generation internet …

  10. Solution: XML markup with “meaningful” tags? <name>WWW2002 The eleventh international world wide webcon</name> <location>Sheraton waikiki hotel Honolulu, hawaii, USA</location> <date>7-11 may 2002</date> <slogan>1 location 5 days learn interact</slogan> <participants>Registered participants coming from australia, canada, chile denmark, france, germany, ghana, hong kong, india, ireland, italy, japan, malta, new zealand, the netherlands, norway, singapore, switzerland, the united kingdom, the united states, vietnam, zaire</participants> <introduction>Register now On the 7th May Honolulu will provide the backdrop of the eleventh international world wide web conference. This prestigious event … Speakers confirmed</introduction> <speaker>Tim berners-lee</speaker> <bio>Tim is the well known inventor of the Web,</bio>…

  11. Need to Add “Semantics” • External agreement on meaning of annotations • E.g., Dublin Core • Agree on the meaning of a set of annotation tags • Problems with this approach • Inflexible • Limited number of things can be expressed • Use Ontologies to specify meaning of annotations • Ontologies provide a vocabulary of terms • New terms can be formed by combining existing ones • Meaning (semantics) of such terms is formally specified • Can also specify relationships between terms in multiple ontologies

  12. Ontology: Origins and History Ontology in Philosophy a philosophical discipline—a branch of philosophy that deals with the nature and the organisation of reality • Science of Being (Aristotle, Metaphysics, IV, 1) • Tries to answer the questions: What characterizes being? Eventually, what is being?

  13. Concept Relates to activates Form Referent Stands for ? Ontology in Linguistics “Tank“

  14. Ontology in Computer Science • An ontology is an engineering artifact: • It is constituted by a specific vocabulary used to describe a certain reality, plus • a set of explicit assumptions regarding the intended meaning of the vocabulary. • Thus, an ontology describes a formal specification of a certain domain: • Shared understanding of a domain of interest • Formal and machine manipulable model of a domain of interest “An explicit specification of a conceptualisation” [Gruber93]

  15. Definitions of Ontologies “An ontology is a formal, explicit specification of a shared conceptualization” Machine-readable Consensual Knowledge Concepts, properties relations, functions, constraints, axioms, are explicitly defined Abstract model and simplified view of some phenomenon in the world that we want to represent

  16. Ontology • Key components • Class • Property • Individuals • Axiom

  17. Class • What is a Class? • e.g., person, pet, old • a collection of individuals (object, things, . . . ) • a way of describing part of the world • an object in the world (OWL Full)

  18. Example Classes Class(pp:animal partial restriction(pp:eats someValuesFrom(owl:Thing))) Class(pp:person partial pp:animal) Class(pp:man complete intersectionOf(pp:person pp:male pp:adult)) Class(pp:animal+lover complete intersectionOf(pp:person restriction(pp:has_pet minCardinality(3))))

  19. Example Class Class(pp:vegetarian complete intersectionOf(pp:animal restriction(pp:eats allValuesFrom(complementOf(pp:animal))) restriction(pp:eats allValuesFrom( complementOf(restriction(pp:part_of someValuesFrom(pp:animal))))))) DisjointClasses(pp:young pp:adult)

  20. Properties • What is a Property? • e.g., has father, has pet, service number • a collection of relationships between individuals (and data) • a way of describing a kind of relationship between individuals • an object in the world (OWL Full)

  21. Example Properties ObjectProperty(pp:eaten_by) ObjectProperty(pp:eats inverseOf(pp:eaten_by) domain(pp:animal)) ObjectProperty(pp:has_pet domain(pp:person) range(pp:animal)) ObjectProperty(pp:is_pet_of inverseOf(pp:has_pet)) DataProperty(pp:service_number range(xsd:integer)) SubPropertyOf(pp:has_pet pp:likes)

  22. Individuals • objects in the world • belong to classes (members of the class) • are related to other objects and to data values via properties

  23. Example Individuals Individual(pp:Tom type(owl:Thing)) Individual(pp:Dewey type(pp:duck)) Individual(pp:Rex type(pp:dog) value(pp:is_pet_of pp:Mick)) Individual(pp:Mick type(pp:male) value(pp:reads pp:Daily+Mirror) value(pp:drives pp:Q123+ABC)) Individual(pp:The42 type(pp:bus) value(pp:service_number "42“^^xsd:integer))

  24. Axiom • An axiom is a sentence that is assumed to be true without proof. • Example • If any two animals are siblings, then there exists someone who is the mother of both of them. • with the axiom: • (=> (sibling ?sib1 ?sib2) (exists (?mom) (and (has-mother ?sib1 ?mom) (has-mother ?sib2 ?mom)))

  25. Example of a Taxonomy Flight Subclass-of Subclass-of Subclass-of American Airlines Flight Iberia Flight British Airways Flight Subclass-of Subclass-of Subclass-of Disjoint-Decomposition Subclass-of Subclass-of AA7462 AA2010 AA0488 IB6274 BA0068 BA0066 BA0069

  26. An example: Knowledge Web Ontologies Project Ontology Event Ontology has associated event is deliver in / has associated has person leader / leads has / is associated with works in / has p p has associated has associated / is associated is involved in / has p leader is associated with leads / has contractor leader is WP leader / has person leader Person Ontology Documentation Ontology has involved partner / works in is author of / has author participates in / is developed by has contact person has Q.A. partner Organization Ontology is contact person / has contact person has authoring partner has lead participant belongs to / is formed by generates / is generated by

  27. Example: Event Ontology Event International Conference International Workshop Management Project Meeting KW Area Meeting KW Plennary Meeting Review EPMB Meeting PMB Meeting Industry Area Meeting Research Area Meeting Education Area Meeting

  28. Example: Documentation Ontology Documentation Additional Documentation Management Documentation Technical Documentation Thesis Publication Templates Master Thesis PhD Thesis Manual Slides Deliverable Article Book ... Agenda Cost Statement EC Templates Fax Mail Minutes Periodic Report Project Proposal ... ... ...

  29. has associated WP workload Milestone is deliver in has participant with workload Project Ontology has Workpackage Task is made up of leads Documentation Ontology works in is involved in Person Ontology is WP leader is author of Person Deliverable has contact person Example: Relationships between Person, Project and Documentation

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