ontology mapping for the semantic web

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Ontology Mapping for the Semantic Web

Mr. worawith sangkatipStudent Master of Information Technology (IT)

Faculty InformaticsMahasarakham University

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AgendaIntroductionSemantic WebOntologyOntology MappingOntology Mapping ResearchSurvey Ontology Mapping TechniquesConclusionFuture Work

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IntroductionPresent Web Technology and Semantic webPresent Semantic web challenges ResearchPresent Related Work ResearchPresent Concept Research

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Semantic WebTechnology Web present

Web pages are writing in html tagHtml describes the syntax not the semanticSearch engine return keyword and link Computer not understand the meaning behind

information

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Semantic Web Why Semantic Web ?

the information that the user wantsComputer understand the meaning behind

informationthe semantic web as a component of Web 3.0

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Semantic Web semantic of social connections

Source : Radar Networks & Nova Spivack, 2007

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Semantic Web Semantic Web from the defines of Tim

BernnersLeeSemantic Web is a group of methods and

technologies to allow machines to understand the meaning

metadata is an important part the semantic web

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Semantic Web

Source : The World Wide Web Consortium (W3C)

Semantic Web stack

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Ontologyontology is one component of the technology

Semantic Web.A concept to describe the knowledge.Standard for understanding the meaning and

scope of information of interest.Ontology is useful in the search better. With

accuracy.

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Ontology ontology can be used instead of semantic information to describe.

RDF – (Resource Description Framework)

OWL – (Web Ontology Language) adds semantic meaning

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Ontology RDF (Resource Description Framework)

a model for expressing metadata as triples (subject-predicate-object)

Subject

ObjectPredicate

www.bicmsu.com

BICsite-owner

<? xml version= “1.0” encoding= “UTF-16” ?> < rdf:RDF xmlns:rdf = “http://www.w3.org/1999/02/22-rdf-syntax-ns#” <rdf:Description rdf : about = “http://www.bic-msu.com”> <mydomain : site-owner> BIC (business intelligent center) </mydomain : site-owner> </rdf:Description> </rdf:RDF>

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Ontology OWL (Web Ontology Language)

OWL is a language that describes the data than the language RDF.

the class (class), property (properties) and relationships. (Relationship).

Class1

Class3

Class2

Properties: properties1: type1 properties2: type2 ……

Class Hierachical

<owl :ObjectProperty rdf:ID= “teaches”> <rdfs:range rdf:resource= #course”/> <rdfs:domain rdf:resource= #academicStaffMember”/> <rdfs:subPropertyOf rdf:resource= #Involves”/> </owl: ObjectProperty >

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Ontology Mapping Why Ontology Mapping ?

organization has its own ontology.use the shared ontology.problem in terms of data Replace or concept

different.

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Ontology Mapping What is Ontology Mapping Problem ?

Specification of a conceptualization differentspecification of the terms in the domain and

relations different

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Ontology Mapping

Type of Ontology Mapping

Ontology Alignment

Ontology Mapping

Ontology Merging

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Ontology mappingOntology mapping is important

database integration,heterogeneous database retrieval (traditional)

catalog matching (e-commerce)agent communication (theory only)web service integration (urgent)P2P information sharing (emerging)personalisation (emerging)

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Ontology Mapping ResearchSemantic web Challenges [1]

A Classification of the Semantic Web Challenges

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Ontology Mapping ResearchResearch Classification of Ontology Mapping [2]

Mapping DiscoveryDeclarative formal representation of mappingsReasoning with mappings

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Survey Ontology Mapping TechniquesGLUE PROMPT QOM

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GLUE [3] Machine learning techniques to find mappings.

GLUE architecture consists ofDistribution Estimator Similarity Estimator. Relaxation Labeler

GLUE output's one to one correspondences between the taxonomies the ontologies .String similarity, structure and machine learning

strategies.

Survey Ontology Mapping Techniques

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PROMPT [4] Input: Two ontology's in OWL/ OKBC

Output: Suggestions of mapping and a merging ontology based on the choice made by the user. iPROMPT : Interactive ontology merging tool.

AnchorPROMT : Graph-based mappings to provide additional information for iPROMPT.

PROMPTDiff : Compares different ontology versions by combining matchers in a fixed point manner.

PROMPTFactor : Tool for extracting a part of an ontology.

Survey Ontology Mapping Techniques

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QOM [5]String similarity, structure and instances.

Input : Two OWL or RDFS ontology's with elements (e.g., classes, properties, instances) in the ontology's Output: One-to-one or one-to-none correspondences.

Survey Ontology Mapping Techniques

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ConclusionSemantic web in a range of research and

development.Semantic web research is innovative and

important.Now in the era of web 3.0.

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Future WorkResearch Ontology Mapping New Techniques Publish Research of survey ontology mapping

techniques

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References [1] Keyvanpour M, Hassanzadeh H, Mohammadizadeh B.

"Comparative Classification of Semantic Web Challenges and Data Mining Techniques". Web Information Systems and Mining, 2009. Shanghai 2009. 200-203.

[2] - N. Noy. Semantic Integration: A Survey of Ontology-based Approaches. Sigmond Record, Special Issue on Semantic Integration. 2004

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Questions?

Thank You.