OpenFilterPrototyping weekend

PEERS, Firmhouse & Red Factory@

•Why, What & How • Example• API

Why

• More value from (profile) metadata • Better matching• Metadata portability• Re-use of metadata• Matching across apps

What

• Metadata Mash up (‘match up’)• Service to support matching– Within site/portal/app– Across sites/apps

• Technology– SaaS– Server Based– SOAP API

How

• Account• Object– ID / name– represents entity (user, content, group, etc.)

• Cloud– name– pieces of metadata (tags)

• CRUD (create, read, update, delete)• Query

Account

Object Object Object

OTC API

Object

Application / Site

Example

• Recommend bookmarks based on LinkedIn profile

• Object = Bookmark (URL) (API/manual)– Cloud 1: LinkedIn Profile data (Scrape)– Cloud 2: Tags from Delicious (API)

API• Version• SetObjects• DelObjects• RenameObjects• GetObjects• QueryObjects• SetTagclouds• DelTagclouds• GetTagclouds• QueryTagclouds• QueryMatchTags• QueryMatchTagcloudhttp://showcase.whoknows.in/wiki

The Challenge

• Gather objects & metadata• Store in OpenFilter• Create interesting matches