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Thieme Hennis

RDF Primer - 0 views

  • The Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web. It is particularly intended for representing metadata about Web resources, such as the title, author, and modification date of a Web page, copyright and licensing information about a Web document, or the availability schedule for some shared resource.
  • RDF is intended for situations in which this information needs to be processed by applications, rather than being only displayed to people. RDF provides a common framework for expressing this information so it can be exchanged between applications without loss of meaning. Since it is a common framework, application designers can leverage the availability of common RDF parsers and processing tools. The ability to exchange information between different applications means that the information may be made available to applications other than those for which it was originally created.
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    RDF primer: introduction to the semantic web and the RDF standard for web resources.
Thieme Hennis

Community Blogging ~ Stephen's Web ~ by Stephen Downes - 0 views

  • Now I want to draw out from these descriptions two major elements that I think are probably definitive of community. First of all, the idea that there's a network. Now a lot of people capture that by saying people can interact, people communicate, there's a place for discussion. But the central thing here is that there is, in some sense, a relation among the people; it's not mere proximity. But they are connected in some way. And the second thing, and the important thing, in my mind, is semantics, the idea that these relations are about something, that the people in the community share a common interest, common values, a set of beliefs, an affinity for cats, or beekeeping.
  • If we think of meaning as use then what is the meaning of a blog post? What does a blog post talk about? It's not contained in the post. Rather, it's contained in the network of relations in which the post finds itself. In the referrers. In the use. In the connections with other things. In evaluations of the post. A whole variety of different connections, different relations, are possible which could, and in my opinion will, be used to characterize an individual post.
  • Now why does this matter? It matters this way. If we're deriving meaning and connections and communities in a random fashion everything flows from the big spike. Scoble was up here, saying, "My friend was saying, I want you to link to me." And, he said, "That's not how it works. Create something of value," he said. Right? "And I will decide whether it's worth linking to." That's the big spike telling the long tail what to do. Isn't it? That's what happens when meaning derives from the centre. And if you push it, that sort of organization and arrangement requires control. Look at Technorati Tags. Now, we've already gotten some tag spam, and we've already gotten some structured vocabulary in Technorati Tags, and eventually somebody will come out and propose and ontology of Technorati Tags, a taxonomy, and they will say, "Everyone should do it this way." And anyone who doesn't, well, they're being chaotic, they're being disruptive. But if the idea emerges from the pattern of connections between individuals there's no one in control. Scoble can't tell me what to twrite in my blog and it doesn't matter whether he links to me or I link to him. And the dynamics in such a network are completely different. This works if you have freedom. This works if nobody tells you how to tag. This creates order and relevance and meaning through diversity, not conformity. Two very different pictures of community.
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  • "Well, the most popular form of XML in the world today is RSS, there is no standard
  • The idea here is that the community is defined as the relations between the members where the relations have semantical value, where that semantical value is defined by the relations. And I know it sounds like bootstrapping, but we've been doing that throughout history. People exist in relations to other people, to things, to resources, even to spaces.
  • What has to happen is this mass of posts has to self-organize in some way. Which means there has to be a process of filtering. But filtering that is not just random. And filtering that isn't like spam blocking. Filtering has to be a mechanism of determining what it is we want, because it's a lot easier to determine what we want than what we don't want.
  • The first pass at this I described in a paper a couple of years ago called "The Semantic Social Network" and the idea, very simply, is we actually attach author information to RSS about blog posts. It kills me that this hasn't happened. Because this is a huge source of information. And all you need to do is, in the 'item', in, say, the 'dc:creator' tag, put a link to a FOAF file. And all of a sudden we've connected people with resources, people with each other and therefore, resources with each other. And that gives me a mechanism for finding resources that is not based on taxonomies, is not based on existing knowledge and existing patterns, but is based on my placement within a community of like-minded individuals.
  • Now that semantic social network is just a first pass at this. We want to create these connections on many levels. And so what we want is metadata, not simply created by the author of a post, but created by readers of posts. This is what I call 'third party metadata'. Third party metadata -- we're beginning to see some of this out there in the blogosphere, in a small, limited and usually site-based way, right? Links, references, readings, annotations, classifications, context of use. But it can't be site-based. Because that doesn't create a network. It might as well be random.
  • Now the way this should work, and the way I've proposed for this to work in the educatiuonal community, is that as much of this third party metadata as possible is created through automatic means.
  • And so we get enormously rich descriptions through very simple mechanisms of automatic classification.
  • My contention is that instead of the spike-based power-law-based Instapundit-based network, that when we get something like the semantic social network, and we will get something like the semantic social network, because it's very simple to do, patterns of organization will be created. In the field of neural networks and connectionism they tyem 'clusters', you get a cluster phenomenon where we're not creating communities around a specific word, or specific concept, but the community itself emerges as being created by and defined as that particularly dense set of connections.
  • I've set up a system called Edu_RSS which is a very primitive first pass at this, and the idea here, Edu_RSS is an aggregator, there should be many instances of Edu_RSS, in the ideal world everybody would have something like this on their desktop, and it pulls in the link metadata, but it also pulls in rating metadata, and it doesn't pull it in from the entire world, the way Technorati does or the way Blogdex does, it pulls it in from my community, my network of friends. And if you set up the network in this way you can actually stop worrying about searching, because the network itself becomes the search where you go through layers of linking and so what comes out the other end is stuff that will be of interest to you. And if you're finely grained enough at the output end then you can get a very precise set of inputs. But the thing is, this set of inputs comes from the entire blogosphere of four million people rather than the randomly chosen top one hundred. The community is the network. There is no centralized place that constitutes community, there are only people, and resources, that are distributed, that are all acting on their own behalf and in their own interests - if you ever read Marvin Minsky's "The Society of Mind", it's like that - where the network consists of a set of self-selected relations using a variety of contextual information, that I've defined as third party metadata, to establish meaning, and where this meaning not only defines the community but emerges from the community.
    • Thieme Hennis
       
      true! handig om dit even door te spitten, ook om fundamentele beslissingen over PEERS te onderbouwen.
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    explanation about blogging, network creation, and meaning in the blogosphere
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    interessant: Downes is "anti-tagging", omdat woorden 1-dimensionaal zijn en het netwerk (wat de eigenlijke betekenis van een concept maakt) doorkruist..
Thieme Hennis

contents @ the informal education homepage - 0 views

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    great resource about informal learning, many theorists and theories explained in easy to understand texts.
Thieme Hennis

ALOE project - 0 views

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    Social Resource and Metadata Hub Upload and share your files and bookmarks, join groups and communicate with others! ALOE features * feed support for all open groups * the ALOE bookmarklet * full UTF-8 support * an improved web interface
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    ALOE learning network, maakt gebruik van CAM: Contextualized Attention Metadata. Vanuit research gestart.
Thieme Hennis

visualcomplexity.com | A visual exploration on mapping complex networks - 0 views

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    VisualComplexity.com intends to be a unified resource space for anyone interested in the visualization of complex networks. The project's main goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as Biology, Social Networks or the World Wide Web.
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    visualization of networks
Thieme Hennis

BestTechVideos :: Tech Videos, Screencasts, Webinars, Techtalks, Tutorials - 0 views

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    handig voor de developers?
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    Great how-to resource: all tech videos.
Thieme Hennis

KMWorld.com - 0 views

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    lots of resources and whitepapers
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    Covering the latest in Content, Document and Knowledge Management
Thieme Hennis

AOK: KM Short Course - 0 views

  • A two-year study shows that up to 70 percent of workplace learning is accomplished on-the-fly, calling into question the value of formal training programs that are presented in their own good time and costing as much as $50 billion annually.
  • In an open, knowledge-based organization, interdepartmental cooperation and collaboration must become an integral part of the daily routine. Teams will not be appointed; they will form naturally in a knowledge-friendly environment through the free flow of information and ideas, leading to common goals that are dependent on the interaction of skills, knowledge and resources of cross-functional groups (not teams).
  • While knowledge networks are forming naturally in such a positive environment, the systematic management of networks will be essential if all this energy is to be productively directed toward the goals and objectives of the organization.
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  • Once human networks are formed, the application of interactive technology can succeed because it will be layered on a new knowledge community with a need for the mutual sharing of knowledge and ideas. The power and effect of knowledge will be amplified far beyond the limits of time and space and the association will be a valuable resource in the virtual world.
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    introduction to knowledge management
Thieme Hennis

gRSShopper - 0 views

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    ntrstng
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    gRSShopper is a personal web environment that combines resource aggregation, a personal dataspace, and personal publishing. It allows you to organize your online content any way you want to, to import content - your own or others' - from remote sites, to remix and repurpose it, and to distribute it as RSS, web pages, JSON data, or RSS feeds.
Thieme Hennis

MiT5: Collaboration and Collective Intelligence - 0 views

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    abstract of the international conference april 27-29, 2007 @ mit about "Collaboration and Collective Intelligence". some interesting resources and issues.
Thieme Hennis

Tagging, Folksonomy & Co - Renaissance of Manual Indexing? - 0 views

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    another paper on collaborative tagging.. interesting..
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    This paper gives an overview of current trends in manual indexing on the Web. Along with a general rise of user generated content there are more and more tagging systems that allow users to annotate digital resources with tags (keywords) and share their annotations with other users. Tagging is frequently seen in contrast to traditional knowledge organization systems or as something completely new. This paper shows that tagging should better be seen as a popular form of manual indexing on the Web. Difference between controlled and free indexing blurs with sufficient feedback mechanisms. A revised typology of tagging systems is presented that includes different user roles and knowledge organization systems with hierarchical relationships and vocabulary control. A detailed bibliography of current research in collaborative tagging is included.
Thieme Hennis

An Introduction to the Resource Description Framework - 0 views

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    RDF, semantic web
Thieme Hennis

InnovationLabs Publications: Innovation Metrics - innovation process measurement - 0 views

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    waar in het innovatietraject kan PEERS een rol spelen, en hoe meet je dan het succes van PEERS?
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    Whitepaper about innovation and measuring it. # Introduction # Innovation Methodology # The Innovation Funnel # Stage -1: Strategic Thinking # Stage 0: Portfolios & Metrics # Stage 1: Research # Stage 2: Insight # Stage 3: Ideas # Stage 4: Targeting # Stage 5: Innovation Development # Stage 6: Market Development # Stage 7: Sales # Inputs, Process & Output # Conclusion # References
Thieme Hennis

social networking in the workplace may give some cultures an edge up - 0 views

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    Study: Social Networking may help in workplace This 90+ page document suggests that social networking in the workplace may give some cultures an edge up from others.
Thieme Hennis

Home Page - Leverage Labs - Online Community Resources - 0 views

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    Social software & enteprise solutions.
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