- The Quantified, Qualified and Connected Self – Jenny Connected on #EL30 Week 4 Identity graph, 1st attempt
- E-Learning 3.0 : Identity Graphs – Jenny Connected on #EL30 Week 4 Identity graph, 1st attempt
- Thinking of knowledge as a graph – Jenny Connected on #EL30 Graph task
- E-Learning 3.0: The Human versus the Machine – Jenny Connected on #EL30 Alien Intelligence AI
- x28 on #EL30 Week 3: Plumbing?
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Category Archives: Knowledge management
Jim McGee wrote a great piece on tools and practices. He argues that the ease of getting started with the first 5% is deceptive. I think it is important that we distinguish between “deep thought and collaborative work”. Tools for these two coincide only for roughly 5%.
My tool is now able to import from/ export to tools that are inspired by Luhmann’s famous Zettelkasten. The magic of this was that he allowed for arbitrary branching at every point in his hierarchical numbering scheme,
Finally, the promising think tool Deepamehta installs with a doubleclick on a simple XP machine, and so I can at last recommend to try it out.
A new German book on Methods for the Personal Knowledge Management was published. For me, it does not work. I have the impression that all the analytical dissections and definitions are somehow mincing, or missing, some of the most challenging problems that exist for a knowledge worker. But if you understand German, you should definitely obtain this thought-provoking book.
In an interesting discussion between G. Siemens and S. Downes, they are addressing “knowledge elements”, concepts, nodes in the network, and entities. I am trying to understand the issues by looking at the “ports” of the network nodes.
Resource descriptions are not the adequate approach for supporting human learning and knowledge. But there are also people working on more humanized RDF approaches.
Meta-data and person to person connections
Another great post by D. Grey, about how meta-data can enhance collections/ content by means of connections/ context.
What data structures do humans think in? What data types should be supported by a cognitively adequate PKM tool?
In his great article from last week about Making Knowledge, D. Grey said many deep details holding true for everybody (regardless of individual cognitive styles), much more than I considered possible, probably everything that can possibly be said about this topic, the ultimate general description.