Classifying content based on purpose and re-use, can usually divide into two categories:
- Formal: contractual, required for legal purposes, specific uses, should have a defined lifecycle
- Informal: knowledge retention, assists decisions, may or may not be reused, unclear and lifecycle but value usually degrades over time
Case Studies
BT Intranet: Distinguishes between 5 different types of content
- Formal: Authoritative – reliable and kept up to date
- Team: owned by a group of people, for a target audience
- Crowd: community owned information, anyone can contribute
- Personal: individual content
- Services: online processes
Source: Dorthe Jesperson, J.Boye, April 2010
Metadata vs Data: a wholly artificial distinction – Terry Jones, Fluid Info, Sep 2009
Computer scientists are fond of talking about metadata. There often seems to be an assumption that drawing a distinction between metadata and data is useful and perhaps even necessary. At an architectural level, I think that’s entirely wrong. Any storage architecture that maintains a distinction between metadata and data has real problems that will limit its flexibility and usefulness. <- is where schema-less DBs are focused (Note to self: metadata in SP makes sense for doc libraries, not for lists)
Semantic Search: The Myth and Reality – Alex Iskoid, ReadWriteWeb, May 2008
Semantic search is an upcoming technology that has set the expectations way too high (description of the different types of search and different types of search engine tackling them)
Sergey Brin speaks with UC Berkeley class – Google video, 2006
Semantics and tagging are great as long as computers are doing it [not people]
Other links
- Discovery Open Metadata Principles – a metadata ecology for UK education and research
