1. Ontology Summarization Based on RDF Sentence Graph Written by: Xiang Zhang, Gong Cheng, Yuzhong Qu Presented by: Sophya Kheim

2. Problem The problem the paper is addressing is the importance of Ontology Summarization to understand and select ontologies. The problem interesting because there is no published work on ontology summarization

3. Solution RDF Sentence Builder Ontology Length Preference Graph Builder Builds RDF Sentence Graphs Describes links between RDF Sentences Salience Assessor Ranks RDF sentences based the link analysis of the graph “Centrality” Re-ranker Produces final summary Ranking algorithm reduces redundancy and enhances coherence

4. Criticism Interesting because there currently is no published work on ontology summarization Since there was no published work on ontology summarization, they had to evaluate their ontology summarization based on text summarization and not other ontology summarizations

5. Relation to Class Semantic Web and Ontology Determining the salience of RDF sentences using “centrality” Social Networks PageRank Authorities/Hubs