Upcoming Events:

Kim is part of an Industry Roundtable Professional Development event hosted by the Knowledge Media Design Institute on Thursday March 4th, 4-6pm at the University of Toronto iSchool.

Kim is presenting at the Library Technology Conference in St. Paul, MN March 17-18 2010.

Registration for Computers in Libraries 2010 is now open. April 12-14, Hyatt Regency Crystal City, Arlington, VA.

Kim is presenting at IASSIST 2010: Social Data and Social Networking: Connecting Social Science Communities Across the Globe in Ithaca, NY June 1-4 2010.

Registration for SLA's Annual Conference is now open. The conference is in New Orleans, June 13-16, 2010.

KMWorld 2010 is in Washington, D.C. this year; November 16-18, 2010. The call for speakers is now open.

KMWorld 2008: SharePoint Search in a Legal Environment

Presented by Jennifer McNenly and Matthew Frederick,
Osler, Hoskin & Harcourt LLP

Although this case study describes a legal environment, the learning can be applied to any environment.

Life before the FindIt! Portal:

  • thousands of structured and unstructured documents
  • no centralized enterprise search
  • no metadata

Step 1: Defining the Search Scopes – created four basic scopes: people, precedents and research, firm information, client matters

Step 2: Defining Search Requirements – case sensitivity, spelling, pluralization, word stemming, language

Step 3: Define Metadata Standard, including the controlled vocabulary

Step 4: Conduct Content Inventory – determine anything restricted or sensitive

Step 5: Metadata training for content owners – consistent naming conventions, synonyms, categories (also done for French content). Used Resource Description Framework (RDF) as a tagging framework. Developed a metadata tagging tool to add metadata to documents.

Step 6: Content Sources:

Web pages (ASP files) were indexed too. The website was built in frames, which presented challenges for indexing. Similar issues for Javascript links.

Internal blogs using Moveable Type and WordPress were also crawled and added to the index.

Structured data included InMagic Content Server, people directory (SQL).

Used crawl rules to include or keep out particular content and content types.

Best Bets were created based on frequently requested content, common tasks, stats on content usage, and existing “can’t find it” information.

Step 7: Search Interface and Results Display:

  • Customized search display.
  • Included link for user feedback and problems.
  • Used a lot of out-of-the-box functionality, such as “did you mean” and “still can’t find it?”.

Step 8: Search Usability Testing – compare against actual user behaviour.

Having a project sponsor at a senior level in the firm is crucial.

Current Work: content migration into SharePoint; reviewing metadata fields.

Future Work: Faceted navigation, improved search.

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