extracting and capturing knowledge found in social software tools

Extracting and capturing knowledge found in social software tools

Neil RichardsKM Consultant

www.knowledgethoughts.com

Today?How law firms are

using web2.0

Quality control Indexing, archiving and distributing

Extracting structured data

How law firms are using web2.0?

No single tool

Social networkingWikis Blogs

RSSTagging

Instead…

Different needsManaging ProjectsTeam knowledge Subject knowledgeFirm knowledge

Client knowledgeIdea sharingCommunications

Examples:

Magic circle team wikis, practice wikis and “Pedias"

Dewey & Leboeuf wikis, blogs, rss & social bookmarking

The Rosen Law Firm wikis for reports, profile pages, communications

Goodwin Proctor wikis for managing projects, clients & legal knowledge

Dykema RSS, communication, information distribution

Over 25% of the AMLaw 200 Client facing blogs

Extracting structured information

garbage in garbage out

To extract useful knowledge you first have to have some

It requires the contributions of many

But lawyers are often too busy…

… or doing other things

Nobody likes filling out forms…

…and structured mark-up is too complex.

'''Berlin''' is the capital of [[capital of::Germany]] and also its largest city;the city is now home to [[population::3,391,407]], down from a peak of 4.5 million before [[World War II]]. It measures [[area::891.69 square kilometers]] and has the coordinates [[coordinates::52°31'N; 13°24'E]].

Berlin is located in the north of [[located in::Germany]]

[[Category:City]][[Category:sample pages]]

{{#ask: [[Category:City]] [[located in::Germany]] | ?population | ?area#km² = Size in km² }}

Submitting knowledge needs to be simple

Order from chaos

Tags / categoriesFavouritesSocial ratingsUsage statsEnrichmentData analysisSocial platforms

Quality control

Monitor key contentTrack changesWatch usage

Have some content PSL & Partner approved

Embed visual indicators of quality

Make the names of contributors visible

Content-appropriate levels of review

Indexing and archiving

Low volume – high value. You can’t index everything.

Take usage into account

Where possible, track “expiry dates” and have a process to retire knowledge

Distribution

Additional information & reference materialhttp://www.knowledgethoughts.com/blog/?page_id=215

Photo creditshttp://www.sxc.hu/photo/787433http://www.sxc.hu/photo/938865http://www.sxc.hu/photo/604247 http://www.sxc.hu/photo/989421 http://www.sxc.hu/photo/334026 http://www.sxc.hu/photo/1088897 http://www.sxc.hu/photo/304293 http://www.sxc.hu/photo/292426 http://www.sxc.hu/photo/253955 http://www.sxc.hu/photo/1005156 http://www.sxc.hu/photo/839415 http://www.sxc.hu/photo/765550 http://www.sxc.hu/photo/590355 http://www.sxc.hu/photo/468027 http://www.sxc.hu/photo/761191 http://www.sxc.hu/photo/821903 http://www.sxc.hu/photo/1032278 http://www.sxc.hu/photo/182201 http://www.sxc.hu/photo/819168 http://www.sxc.hu/photo/866529 http://www.sxc.hu/photo/647502 http://www.sxc.hu/photo/428182 http://www.sxc.hu/photo/575060 http://www.sxc.hu/photo/970189 http://www.sxc.hu/photo/1080889 http://www.sxc.hu/photo/949308 http://www.sxc.hu/photo/228778

Neil RichardsKM Consultant

www.knowledgethoughts.com