collective intelligence | concept mapping
Who I am Founder of Conversence, developing a tool for augmented collective intelligence called IdeaLoom. This tools' main focus is collective sensemaking of online conversations: it allows sensemakers to group conversation threads into topics, which can be arranged into a concept map (currently in outline form.)
Annotations were a key element of Doug's work, and the basic building block of our collective sensemaking toolkit. Though we started with conversations, we expect to include documents soon. The other aspect is discovering and making sense of those annotations, and concept mapping is essential for that.
A key concern is interoperability: annotations (and their clustering around concepts) need to be shared between platforms. Sensemaking tools (visualization, AI, etc.) can use access to the underlying data to augment the conversation further. Doing this requires a common model of documents, annotations and concept maps. Fortunately, a lot of those tools are already present in the semantic web world, and Marc-Antoine has co-authored a first interoperability specification based on those tools in an earlier project.
My scenario/walkthrough I think that one scenario we present should show someone working on a personal document, tagging a concept, finding that concept represented in a global concept map provided by a concept library tool, and from there finding more documents and conversations around this concept; and new related concepts. It should definitely give the impression that a concept opens into a whole world. Another key aspect is showing which of those ideas are the best supported: by evidence, by communities who believe in them, and when appropriate by projects.
How I Prefer to Collaborate I would recommend we use email [ firstname.lastname@example.org ] to collaborate, since such emails can then be made part of the IdeaLoom sensemaking process. Note that RSS feeds from blogs can also be ingested in IdeaLoom for sensemaking purposes.