Federated Search. Frank Bilotto Muse Global Salt Lake City, Utah, USA

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1 Federated Search Frank Bilotto Muse Global Salt Lake City, Utah, USA

2 DISCLAIMER

3 DISCLAIMER I AM NOT A CHEMIST

4 DISCLAIMER I AM NOT A CHEMIST I AM NOT A RESEACH LIBRARIAN

5 DISCLAIMER I AM NOT A CHEMIST I AM NOT A RESEACH LIBRARIAN I AM A LICENSED LAWYER

6 Search vs. Federated Search Just in Case vs. Just in Time Indexing and Tagging

7 Search vs. Federated Search Just in Case vs. Just in Time Indexing and Tagging Custodial Rights

8 Search vs. Federated Search Just in Case vs. Just in Time Indexing and Tagging Custodial Rights Enhancement.

9 Historical Problems with Federated Search Connectors

10 Historical Problems with Federated Search Connectors Blending Results

11 Historical Problems with Federated Search Connectors Blending Results Manipulating Results

12 Historical Problems with Federated Search Connectors Blending Results Manipulating Results Deduplication

13 Historical Problems with Federated Search Connectors Blending Results Manipulating Results Deduplication Quality of Information

14 It s Raining Cats and Dogs.

15 It s Raining Cats and Dogs. Cats and dogs were supposed to be washed from roofs during heavy weather.

16 It s Raining Cats and Dogs. Cats and dogs were supposed to be washed from roofs during heavy weather. 17th century England, filthy city streets Heavy rain would occasionally carry along dead animals.

17 It s Raining Cats and Dogs. Cats and dogs were supposed to be washed from roofs during heavy weather. 17th century England, filthy city streets Heavy rain would occasionally carry along dead animals. French word, catadoupe, means waterfall.

18 It s Raining Cats and Dogs. Cats and dogs were supposed to be washed from roofs during heavy weather. 17th century England, filthy city streets Heavy rain would occasionally carry along dead animals. French word, catadoupe, means waterfall. Witches flying on brooms cats; God of Storms, Odin had dogs at his side.

19 Virtual Repository 1. Confidence in Quality 2. Confidence in Provenance

20 Federated Search Subscription Search Web Search Desktop/Enterprise Search Highly Specialized, Domain-Specific Content Deep coverage in single content silo Highest barrier to user adoption Billions of Diverse Web Pages Broad, simple coverage of wide swath of content Low barrier to user adoption Value Searching of Federated Across the Search Silos Users search must serially once, but search gain multiple best data silos to gain best data Users must learn how to search only each once silo Content comes back in one multiple screen in screens consistent and inconsistent format format Millions of Enterprise Documents Relatively deep coverage of all content behind corporate firewall Higher barrier to user adoption

21 Federated Search Features Real Time Search

22 Federated Search Features Real Time Search Parallel Searching

23 Federated Search Features Real Time Search Parallel Searching Blend complete sets of results

24 Federated Search Features Real Time Search Parallel Searching Blend complete sets of results Search process tools

25 Federated Search Features Real Time Search Parallel Searching Blend complete sets of results Search process tools See complete sets from individual databases

26 Federated Search Features Real Time Search Parallel Searching Blend complete sets of results Search process tools See complete sets from individual databases Content is viewed from the native database

27 Federated Search Mechanics Connectors

28 Federated Search Mechanics Connectors Authentication

29 Federated Search Mechanics Connectors Authentication Translation (for native source Syntax)

30 Federated Search Mechanics Connectors Authentication Translation (for native source Syntax) Normalization

31 Federated Search Mechanics Connectors Authentication Translation (for native source Syntax) Normalization Source Profile

32 Data Manipulation Content Navigation Technology and Data Mining Tools

33 Data Manipulation Content Navigation Technology and Data Mining Tools Create Virtual Records

34 Data Manipulation Content Navigation Technology and Data Mining Tools Create Virtual Records Refinement

35 Data Manipulation Content Navigation Technology and Data Mining Tools Create Virtual Records Refinement Visualization

36 Data Manipulation Content Navigation Technology and Data Mining Tools Create Virtual Records Refinement Visualization Federated Alerts

37 Data Manipulation Content Navigation Technology and Data Mining Tools Create Virtual Records Refinement Visualization Federated Alerts Save and export result sets and specific results

38 Thank You Frank Bilotto Muse Global

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40 Communication protocols supported HTTP SIP SOAP 2 Z39.50 tel LDAP net XML SQ Proprie SRU/SR L tary W Muse Federated Search Platform Components of a Source Package Connector (protocol and record structure) Translator (semantic mapping of searches) Reformatter (mapping of returned data) Authenticator (Rights mgmt through source authentication) Profile (Customer/Source-specific customization data) C4 C7 C13 Muse Source Packages S4 S7 S13 Third-party content Sources Source record formats supported XML (various) HTML Lotus MARC ISO Notes CSV MODS, (various) METS, Fixed 2709 MADS position, fixed length Office Docs (Word, Exchange, etc.) Muse supports the deepest connection to each content Source to deliver the most meaningful search results possible.

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42 The Most Extensive Metadata Support Available Control numbers (ISBN, ISMN, ISSN, etc.) Title & Journal Title Author Citation Data (title, volume, issue, page, year, ISSN) Assigned Keywords & Derived Keywords Abstract Subject Headings Classification Category Sampling of key Metadata fields supported by Muse Location (geographical, within building, shelving, filing) Printing/publishing details (year, publisher/printer, location, etc.) Material Descriptors & Thematic Descriptors Target Audience Size (pages, bites, seconds, etc.) Linking (material, subject, location, thematic, etc.) Use Limiting Data (access rights, price, embargo, etc.) Availability Data (inventory, comparison shopping, shipping, etc.) Author Affiliation References (to other material) Thousands more Object Linking (full text, image, video, audio)