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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 Presentation
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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
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
given a web page, how could you identify which ontology in the ontology library will be associated with it?
Ontology LibraryOntology Library
It is necessary to classify ontology in an ontology library system in order to facilitate searching, managing and re-using ontology
Text CategorizationText Categorization
Assign a Boolean value to each pair <dj, ci>
Є D * CTraditional approachesAdvantage of traditional approachesDisadvantage of traditional approaches
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
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
Overview of MethodOverview of Method
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
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>
Attributes Similarity Attributes Similarity ComputationComputation Attribute Recognizer
<html>
<p> Honda price $9000, model…</p> ……… </html>
make
TFIDF-like computationTFIDF-like computation
Oj= (wj1, wj2, ………wjn) wk=afjk * idfjk
EvaluationEvaluation
Precision and RecallCompare our results with the results using
Pure TFIDF algorithm.
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
