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When worlds collide Metasearching meets central indexes

Discover the magic of metasearching and central indexes with Mike Taylor. Explore the advantages and nuances of both approaches for efficient data retrieval and relevance ranking. Embrace the power of Integrated Search!

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When worlds collide Metasearching meets central indexes

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  1. When worlds collide Metasearching meets central indexes Mike Taylor – mike@indexdata.com Index Data – http://indexdata.com/

  2. Search When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  3. Search When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  4. Search Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  5. Search Data Problem solved! When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  6. Search ? ? Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  7. Metasearch Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  8. Metasearch 360 Search EHIS (EBSCO) MetaLib Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  9. Metasearch 360 Search EHIS (EBSCO) MetaLib Pazpar2 (Open source) Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  10. Metasearch Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  11. Metasearch A.K.A. federated search Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  12. Metasearch A.K.A. federated search Magic box A.K.A. distributed search Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  13. ? Metasearch A.K.A. federated search Magic box A.K.A. distributed search Searching Data Data Data Data A.K.A. broadcast search When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  14. Back to the sad searcher ? ? Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  15. Central index Fat database Harvesting Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  16. Central index Summon WorldCat Primo Central Fat database Harvesting Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  17. Central index Summon WorldCat Primo Central MasterKey Fat database Harvesting Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  18. Central index A.K.A. local index Fat database Harvesting Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  19. Central index A.K.A. local index Fat database A.K.A. discovery services Harvesting Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  20. ? Central index A.K.A. local index Fat database A.K.A. discovery services Harvesting Data Data Data Data A.K.A. vertical search When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  21. We need a controlled vocabulary! Metasearch = Federated search = Distributed search = Broadcast search Central index = Local index = Discovery services = Vertical search (if you ever heard anything so dumb) When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  22. Which approach is better? Central indexing compared with metasearching: - requires harvesting infrastructure - requires lots of local storage - requires co-operation from services to be harvested - does not have access to all searchable data - will always be somewhat out of date - is faster at search time (or SHOULD be) - allows data to be normalised (e.g. dates extracted) - allows for better relevance ranking - can provide pre-baked facets - may have access to some data that not searchable When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  23. Which approach is better? When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  24. Which approach is better? When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  25. Which approach is better? When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  26. Which approach is better? Let's do both! When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  27. ! “Integrated Search” Magic box Fat database Searching Harvesting Data Data Data Data Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  28. ! “Integrated Search” Magic box Fat database Searching Harvesting Data Data Data Data Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  29. ! “Integrated Search” Magic box Fat database Searching Harvesting Data Data Data Data Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  30. ! “Integrated Search” Magic box Fat database Searching Harvesting Data Data Data Data Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  31. Metasearch hides the complexity Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  32. Metasearch Nine tenths under The surface Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  33. Metasearch What you see looks beautiful Magic box Searching Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  34. Problems that need solving A. Problems with pure metasearching B. How those problems change when you add a central index When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  35. Problems with metasearching Examples based on Index Data's suite: Pazpar2 is a free metasearching engine with a stupid name http://indexdata.com/pazpar2/ MasterKey is a non-open suite that wraps it http://indexdata.com/masterkey/ MasterKey is only one way to use Pazpar2 Also integrated into other vendors' UIs. When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  36. Problems with metasearching #1: No data server at all! Data is often only in a user-facing Web UI Must be made available via a standard protocol When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  37. Problems with metasearching #1: No data server at all! Data is often only in a user-facing Web UI Must be made available via a standard protocol Option 1: build a gateway in Perl http://indexdata.com/simpleserver/ When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  38. Problems with metasearching #1: No data server at all! Data is often only in a user-facing Web UI Must be made available via a standard protocol Option 1: build a gateway in Perl http://indexdata.com/simpleserver/ Option 2: MasterKey Connect (non-open) http://indexdata.com/connector-framework When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  39. Problems with metasearching #2: data server is crap^H^H^H^Hsuboptimal Catalogs searchable using ANSI/NISO Z39.50 Support is very nominal in some cases When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  40. Problems with metasearching #2: data server is crap^H^H^H^Hsuboptimal Catalogs searchable using ANSI/NISO Z39.50 Support is very nominal in some cases IRSpy probes behaviour http://irspy.indexdata.com MasterKey target profiles describe behaviour When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  41. Problems with metasearching #3: Data servers don't support relevance When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  42. Problems with metasearching #3: Data servers don't support relevance Pazpar2 does its own relevance ranking (Part of merging/deduplication) When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  43. Problems with metasearching #4: Data servers don't return facets When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  44. Problems with metasearching #4: Data servers don't return facets Pazpar2 calculates its own facets When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  45. There is a lot of magic in the magic box Searching Sorting Merging Deduplication Relevance Facet generation Time travel ... Magic box Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  46. There is a lot of magic in the magic box Searching Sorting Merging Deduplication Relevance Facet generation Time travel ... Remember, our engine is free: http://indexdata.com/pazpar2/ Pazpar2 Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  47. ! What happens when we add a central index? Magic box Fat database Searching Harvesting Data Data Data Data Data Data Data Data When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  48. Problems with integrated search #1: No data server at all! Data is often only in a user-facing Web UI When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  49. Problems with integrated search #1: No data server at all! Data is often only in a user-facing Web UI When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

  50. Problems with integrated search #1: No data server at all! Data is often only in a user-facing Web UI You can't harvest Google When worlds collide: metasearching and central indexes Mike Taylor – mike@indexdata.com

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