dan su department of computer science brigham young university
DESCRIPTION
Towards Semantic Web: An Attribute-Driven Algorithm to Identifying an Ontology Associated with a Given Web Page. Dan Su Department of Computer Science Brigham Young University. Motivation. Semantic Web Enrich current web manually will be laborious, tedious and error-prone Ontology - PowerPoint PPT PresentationTRANSCRIPT
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Towards Semantic Web: An Attribute-Towards Semantic Web: An Attribute-Driven Algorithm to Identifying an Driven Algorithm to Identifying an
Ontology Associated with a Given Web Ontology Associated with a Given Web PagePage
Dan Su
Department of Computer Science
Brigham Young University
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MotivationMotivation
Semantic WebEnrich current web manually will be laborio
us, tedious and error-proneOntology
Capture the semantics of information from various sources and output a concise description
The number of different ontologies is increasing
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given a web page, how could you identify which ontology in the ontology library will be associated with it?
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Ontology LibraryOntology Library
It is necessary to classify ontology in an ontology library system in order to facilitate searching, managing and re-using ontology
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Text CategorizationText Categorization
Assign a Boolean value to each pair <dj, ci>
Є D * CTraditional approachesAdvantage of traditional approachesDisadvantage of traditional approaches
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Why not a direct matching?Why not a direct matching?
Direct MatchingReasons for discarding a direct matching:
1. The increasing large number of ontologies
2. Ignore weights of different attributes
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Thesis StatementThesis Statement
focus on identifying the ontology associated with the given web page from an ontology library based on the attributes similarity computation
discuss the feasibility of an ontology-based machine learning approach
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Overview of MethodOverview of Method
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Assumption of Ontology Assumption of Ontology LibraryLibraryUnique identification: a unique URI or a
unique nameLife-time: the valid period for current
ontology versionDomain concept and the associated
attributes
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Automatic Construction of Automatic Construction of Training corpusTraining corpus <html> <p> Honda MH-2 1994</p> ……… </html> ----------------------------------- <html> <ontology car.ontology> </ontology> <p><attri make> Honda </attri> <attri model>MH-2</
attri><attri year> 1994</attri> </html>
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Attributes Similarity Attributes Similarity ComputationComputation Attribute Recognizer
<html>
<p> Honda price $9000, model…</p> ……… </html>
make
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TFIDF-like computationTFIDF-like computation
Oj= (wj1, wj2, ………wjn) wk=afjk * idfjk
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EvaluationEvaluation
Precision and RecallCompare our results with the results using
Pure TFIDF algorithm.
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ContributionContribution
Automatically identify the ontology associated with a give web page
Advance the transformation from current web to a semantic web
Can be extended to the text categorization field