1. The Synergy of Federated Searching & Clustering Lunch with Peter Jacso ALA Midwinter Forum ProQuest and Serials Solution Seattle, January 19, 2007

2. Jacso

3. While You Savor the Lunch, Allow Me To give credit to past pioneers like Roger Summit of DIALOG for ONESearching & RANKing To tip the hat to some of the most widely used federated search engines and clustering tools To salute some who offer INTRA-system metasearching of in-house and domesticated, prepped databases + clustering To appreciate the synergy of federated searching and clustering by multiple elements (Central Search) To guess what the future will look like Jacso

4. Yes, Pat, there has been multi-searching and clustering since the 1980s Jacso

5. RANKing Jacso

6. DIALINDEX for a Scoreboard Jacso

7. CLUSTERING THE SET BY Journal Name Jacso

8. CLUSTERING THE SET BY descriptors Jacso

9. CLUSTERING THE SET BY author Jacso

10. CLUSTERING THE SET BY year Jacso

11. Some of the federated, meta- and polysearch engines Jacso

12. A Light Clustering Toolbar Jacso

13. A Tad Too Narrow Source Base Jacso

14. The Little Engine That Could Jacso

15. Clustering by subject, sources, site URLs Jacso

16. The BIG Search Engine That Could Even Better … Including Science Direct, Elsevier’s Digital Collection? Jacso

17. Except when it shouldn’t …. Jacso

18. …. or couldn’t Jacso

19. How Could I Forget Thee, Google Scholar Jacso

20. Even if you are in beta Jacso

21. … and have been for 2 years Jacso

22. HWP Can Do It More Smartly with Vivisimo (but limited to subject) Jacso

23. Scopus was born with clustering by 5 criteria Jacso

24. WoS offers more clusters to choose from Jacso

25. Like clustering by affiliation Jacso

26. And finally someone clusters OPAC result (with Endeca!) That someone is Andrew K. Pace and his team at NCSU Jacso

27. And someone else, too, wants OPACs look better with an Open Access Software That someone is Casey Bisson at Plymouth State University Jacso

28. FEEL THEIR PAIN Intra-system metasearching of in-house & hosted, domesticated databases with clustering is easier than … ……to federate from diverse, disparate, deviant sources and to cluster the uncontrolled, inconsistent format and content of author names, journal names, descriptors The aggravation of aggregation Herding cats and faculty on short notice looks easy Jacso

29. PolyMeta open access sources Jacso

30. Subject-only clustering, but many other bonuses Jacso

31. Meet Dr. Tamás Doszkocs and his ToxSeek PolyMeta engine at NLM Jacso

33. My customized version for testing & teaching purposes Jacso

34. And Now ….. Central Search Many databases federated and many results clustered by many criteria Jacso

35. Several ProQuest databases in cluster Jacso

36. Several Ebsco databases in cluster Jacso

37. Mixture of hits from different databases Jacso

38. Clustered sources Jacso

39. Results sorted by date Jacso

40. Number of duplicates from different sources may indicate clout of journal, or just re- purposing Jacso

41. Keep looking at shopping & price comparison sites to see the future Jacso

42. Clusters by departure & arrival times, airlines and stoips Jacso

43. Shop till you drop through the clusters by shoe types Jacso

44. And by color, size, width and price Jacso

45. Look for the future also in the many PubMed wizardry projects (top related terms co- occurring with toxoplasmosis) Jacso

46. Relative research interest on toxoplasmosis Jacso

47. Profiles of top journals on toxoplasmosis Jacso

48. Profiles of top authors and their publications Jacso

49. Cluster of most productive countries on toxoplasmosis Jacso

50. Mapped to an atlas Jacso

51. THE FUTURE Terminology consolidation The potential of the ULAN Getty Project “Did you mean”-ing at a higher level Tandem clustering of 2 cluster criteria “Just in case”-ing of non-selected databases Meshing with related factographic data Bibliometric analysis for collection development & publishing venue selection Visualization 2 of search results Jacso

52. Will he say “Right on”? Will this “love story” of federated searching & clustering have a happy-end? Jacso