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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
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Motivation Semantic Web Enrich current web manually will be laborious, tedious and error-prone Ontology C apture 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 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 Categorization Assign a Boolean value to each pair Є D * C Traditional approaches Advantage of traditional approaches Disadvantage of traditional approaches
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Why not a direct matching? Direct Matching Reasons for discarding a direct matching: 1. The increasing large number of ontologies 2. Ignore weights of different attributes
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Thesis 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 Method
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Assumption of Ontology Library Unique identification: a unique URI or a unique name Life-time: the valid period for current ontology version Domain concept and the associated attributes
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Automatic Construction of Training corpus Honda MH-2 1994 ……… ----------------------------------- Honda MH- 2 1994
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Attributes Similarity Computation Attribute Recognizer Honda price $9000, model … ……… make
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TFIDF-like computation O j = (w j1, w j2, ……… w jn) w k =af jk * idf jk
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Evaluation Precision and Recall Compare our results with the results using Pure TFIDF algorithm.
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Contribution 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
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