1. 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

2. 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

3. given a web page, how could you identify which ontology in the ontology library will be associated with it?

4. Ontology Library It is necessary to classify ontology in an ontology library system in order to facilitate searching, managing and re- using ontology

5. Text Categorization Assign a Boolean value to each pair Є D * C Traditional approaches Advantage of traditional approaches Disadvantage of traditional approaches

6. 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

7. 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

8. Overview of Method

9. 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

10. Automatic Construction of Training corpus Honda MH-2 1994 ……… ----------------------------------- Honda MH- 2 1994

11. Attributes Similarity Computation Attribute Recognizer Honda price $9000, model … ……… make

12. TFIDF-like computation O j = (w j1, w j2, ……… w jn) w k =af jk * idf jk

13. Evaluation Precision and Recall Compare our results with the results using Pure TFIDF algorithm.

14. 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