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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Ontologies for the Semantic Web Michael Lutz michael.lutz@jrc.it Slides based on Co-ode OWL Tutorial (University of Manchester) http://co-ode.man.ac.uk/resources/tutorials/intro/slides/
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Overview Why do we need ontologies and the Semantic Web? What are ontologies ontology definitions properties Ontology languages OWL & Description Logics Reasoning
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Impossible (?) using the Syntactic Web… Complex queries involving background knowledge Find information about “animals that use sonar but are not either bats or dolphins”, e.g., Barn owl Locating information in data repositories Travel enquiries Prices of goods and services Finding and using web services Visualise 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
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services 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… What is the Problem?
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services 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, … 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, …) ……
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services What information can a machine see…
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services … XML markup with “meaningful” tags The Solution?
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services … , … … Machine sees…
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Need to Add “Semantics” External agreement on meaning of annotations e.g., Dublin Core: agree on the meaning of a set of annotation tags but this approach is inflexible and only a 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
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Ontology in Computer Science An ontology is an engineering artifact: 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]
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Ontology Components Names for important concepts in the domain Elephant is a concept whose members are a kind of animal Herbivore is a concept whose members are exactly those animals who eat only plants or parts of plants Background knowledge/constraints on the domain Adult_Elephants weigh at least 2,000 kg All Elephants are either African_Elephants or Indian_Elephants No individual can be both a Herbivore and a Carnivore
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services A semantic continuum [Mike Uschold, Boeing Corp] Shared human consensus Implicit Text descriptions Pump: “a device for moving a gas or liquid from one place or container to another” Informal (explicit) Semantics hardwired; used at runtime Formal (for humans) Semantics processed and used at runtime (pump has (superclasses (…)) Formal (for machines) Less ambiguity Better interoperation More robust – less hardwiring More difficult Further to the right
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Ontology Design and Deployment In the Semantic Web there should be tools and services to help users: Design and maintain high quality ontologies Store (large numbers) of instances of ontology classes, e.g. annotations from web pages Answer queries over ontology classes and instances, e.g. -Find more general/specific classes -Retrieve annotations/pages matching a given description Integrate and align multiple ontologies
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Clash of intuitions: Domain Experts vs. Logicians Transparency & predictability vs. Rigour & Completeness Neophytes caught in the muddled middle The knowledge acquisition “bottleneck” Assuring quality & managing change Confusion of terminology and usage Interdisciplinarity: Linguistics, Cognitive science, Software engineering, Philosophy A jumble of syntaxes Why Ontology Engineering is hard…
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services “Class” “Concept” “Category” “Type” are often used synonymously, but more precisely… -categories are in the world -concepts are in the mind -classes/types are in the ontology “Instance” “Individual” “Entity” “object” can be class or individual “Property” “Slot” “Relation” “Relationtype” “Attribute” Semantic link type” “Role” Vocabulary
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Ontologies Software agents Problem- solving methods Domain- independent applications Domain- independent applications Databases Declare structure Knowledge bases Knowledge bases Provide domain description The “Semantic Web” An Ontology should be just the Beginning
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Ontology Languages Wide variety of languages for “Explicit Specification” Graphical notations, e.g. UML, Semantic networks, Topic Maps (see http://www.topicmaps.org/), RDF Logic based, e.g. Description Logics (e.g., OWL), Rules (e.g., RuleML, LP/Prolog), First Order Logic (e.g., KIF), Conceptual graphs, higher order and non-classical logics Probabilistic/fuzzy Degree of formality varies widely Increased formality makes languages more amenable to machine processing (e.g., automated reasoning)
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Objects/Instances/Individuals Elements of the domain of discourse Equivalent to constants in FOL Types/Classes/Concepts Sets of objects sharing certain characteristics Equivalent to unary predicates in FOL Relations/Properties/Roles Sets of pairs (tuples) of objects Equivalent to binary predicates in FOL Language Primitives
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Web Ontology Language Requirements Desirable features for Web Ontology Language: Extends existing Web standards, e.g. XML, RDF, RDFS Easy to understand and use should be based on familiar KR idioms Formally specified Of “adequate” expressive power Possible to provide automated reasoning support
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services OWL Language Three species of OWL OWL full is union of OWL syntax and RDF OWL DL restricted to FOL fragment ( DAML+OIL) OWL Lite is “easier to implement” subset of OWL DL OWL DL based on SHIQ Description Logic OWL DL benefits from many years of DL research Well defined semantics Formal properties well understood (complexity, decidability) Known reasoning algorithms Implemented systems (highly optimised)
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services (In)famous “Layer Cake” Data Exchange Semantics+reasoning Relational Data ? ? ??? TimBL, 2000 (http://www.w3.org/2000/ Talks/1206-xml2k-tbl/slide10-0.html)
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services References Daconta, M.C., Obrst, L.J. & Smith, K.T. (2003): The Semantic Web. A Guide to the Future of XML, Web Services, and Knowledge Management, John Wiley & Sons esp. chapter 8: Understanding Ontologies McGuinness, D.L. & van Harmelen, F. (Eds.) (2004): OWL Web Ontology Language Overview, available from http://www.w3.org/TR/owl-features/ http://www.w3.org/TR/owl-features/ Baader, F., Calvanese, D., McGuinness, D., Nardi, D. & Patel- Schneider, P. (2003): The Description Logic Handbook, Cambridge University Press esp. introductory chapters 1 & 2
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TU Wien – April 24-29, 2006Semantics and Ontologies in GI Services Questions???
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