1. Improving VIVO search results through Semantic Ranking. Anup Sawant Deepak Konidena

4. Lucene field for an Individual. And here's why

6. How does the semantic graph look like with the presence of context nodes?

11. Search Index Architecture: Enriching with Semantic Relations. Overall connectivity of an Individual (ß) Apache Solr Relevant Documents. Dismax Query Handler. Indexing Phase Sparql Proper Boosts Searching Phase Multithreaded.

12. Real-time Indexing: Enriching with Semantic Relations. Overall connectivity of an Individual (ß) Apache Solr Relevant Documents. Dismax Query Handler. Indexing Phase Sparql Proper Boosts Searching Phase ADD/EDIT/DELETE of an Individual or its properties. The changes occur in real time and propagate beyond intermediate nodes. Multithreaded.

16. Understanding how it happens .. institute cornell loring V1 V2 θ Euclidean distance Cosine distance

17. Understanding how it happens .. institute cornell loring V2 θ V1 Euclidean distance increases, Cosine distance remains the same

18. Query vector distance from Cluster Mean vectors

19. User testing for Relevance

20. Precision and Recall Total Relevant Total Retrieved Precision = X / (Total Retrieved) Recall = X / (Total Relevant) X

21. Precision-Recall graphs based on User Analysis.

22. Cluster Analysis for Relevance

23. Precision-Recall graphs based on Cluster Analysis

24. Query vector distance from individual search result vectors

30. Team Work…