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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.
  • ...9 more annotations...
  • "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

Folksonomies-Cooperative Classification and Communication Through Shared Metadata - 0 views

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    This paper examines user-generated metadata as implemented and applied in two web services designed to share and organize digital me- dia to better understand grassroots classification. Metadata - data about data - allows systems to collocate related information, and helps users find relevant information.
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    another article about folksonomies and tagging..
Thieme Hennis

Use of contextualized attention metadata for ranking and recommending learning objects - 0 views

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    article about APML and attention metadata
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    belangrijke ontwikkelingen (metadata standaarden etc.) voor het verbeteren van het aanbieden van content door het meten en gebruiken van context.
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

Use of contextualized attention metadata for ranking and recommending learning objects - 0 views

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    4 verschillende metrics worden behandeld; Link Analysis Ranking, Similarity Recommendation, Personalized Ranking, Contextual Recommendation.
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    The tools used to search and find Learning Objects in different systems do not provide a meaningful and scalable way to rank or recommend learning material. This work propose and detail the use of Contextual Attention Metadata, gathered from the different tools used in the lifecycle of the Learning Object, to create ranking and recommending metrics to improve the user experience. Four types of metrics are detailed: Link Analysis Ranking, Similarity Recommendation, Personalized Ranking and Contextual Recommendation. While designed for Learning Objects, it is shown that these metrics could also be applied to rank and recommend other types of reusable components like software libraries.
Thieme Hennis

Golder & Huberman - The Structure of Collaborative Tagging Systems - 0 views

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    Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.
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    article about collaborative tagging.
Thieme Hennis

Platform for Internet Content Selection (PICS)Platform for Internet Content Selection (... - 0 views

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    The PICSTM specification enables labels (metadata) to be associated with Internet content. It was originally designed to help parents and teachers control what children access on the Internet, but it also facilitates other uses for labels, including code signing and privacy. The PICS platform is one on which other rating services and filtering software have been built.
Thieme Hennis

Using Metadata for Storing, Sharing and Reusing Evaluations for Social Recommendations - 0 views

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    another article about attention profiling
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    nog een artikel over attention metadata
Thieme Hennis

APML - Attention Profiling Mark-up Language: The open standard for Attention Metadata - 0 views

    • Thieme Hennis
       
      ik begrijp de volgorde niet.. xml moet toch in het midden?
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    APML allows users to share their own personal Attention Profile in much the same way that OPML allows the exchange of reading lists between News Readers. The idea is to compress all forms of Attention Data into a portable file format containing a description of ranked user interests.
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    heel erg relevant. mooie ontwikkelingen. goed in de gaten houden.
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

Collaborative thesaurus tagging the Wikipedia way - 0 views

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    This paper explores the system of categories that is used to classify articles in Wikipedia. It is compared to collaborative tagging systems like del.icio.us and to hierarchical classification like the Dewey Decimal Classification (DDC). Specifics and commonalitiess of these systems of subject indexing are exposed. Analysis of structural and statistical properties (descriptors per record, records per descriptor, descriptor levels) shows that the category system of Wikimedia is a thesaurus that combines collaborative tagging and hierarchical subject indexing in a special way.
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    comparison of Dewey's system of categorization and Wikipedia's mixed model.
Thieme Hennis

Friend of a Friend (FOAF) project - 0 views

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    The Friend of a Friend (FOAF) project is creating a Web of machine-readable pages describing people, the links between them and the things they create and do. FOAF is about your place in the Web, and the Web's place in our world. FOAF is a simple technology that makes it easier to share and use information about people and their activities (eg. photos, calendars, weblogs), to transfer information between Web sites, and to automatically extend, merge and re-use it online.
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    handig om in gedachten te houden.. op deze manier kun je een netwerk maken van mensen door FOAF code te plaatsen in mensen hun profielen, in hun RSS etc.
Thieme Hennis

An Introduction to the Resource Description Framework - 0 views

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    RDF, semantic web
Thieme Hennis

Feedego, the smart information filter - 0 views

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    filter mechanisme
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    Filtered feed
Thieme Hennis

Social Information Filtering: Algorithms for Automating" Word of Mouth'' - 0 views

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    This paper describes a technique for making personalized ecommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users.
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    algorithme beschreven..
Thieme Hennis

tag2find - better than searching | tag everything on your desktop - 0 views

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    Save Bookmark
Thieme Hennis

Letizia: An agent that assists web browsing - 0 views

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    Letizia is a user interface agent that assists a user browsing the World Wide Web. As the user operates a conventional Web browser such as Netscape, the agent tracks user behavior and attempts to anticipate items of interest by doing concurrent, autonomous exploration of links from the user's current position. The agent automates a browsing strategy consisting of a best-first search augmented by heuristics inferring user interest from browsing behavior.
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    erg interessant paper over een recommendation technology ontwikkeld bij MIT in 95
Thieme Hennis

Mediamatic - Interfacing to anyMeta - 0 views

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    Accessing semantic data using anyMeta
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    de aanpak van mediamatic om data te retrieven uit andere systemen.
Thieme Hennis

Finding Communities of Practice from User Profiles Based On Folksonomies - 0 views

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    User profiles can be used to identify persons inside a community with similar interests. Folksonomy systems allow users to individually tag the objects of a common set (e.g., web pages). In this paper, we propose to create user profiles from the data available in such folksonomy systems by letting users specify the most relevant objects in the system. Instead of using the objects directly to represent the user profile, we propose to use the tags associated with the specified objects to build the user profile. We have designed a prototype for the research domain to use such tag-based profiles in finding persons with similar interests. The combination of tag-based profiles with standard recommender system technology has resulted in a new kind of recommender system to recommend related publications, keywords, and persons.
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    user profiles based on tagging
Thieme Hennis

Time to Build Trust With an "Open Achievements API"? « OUseful.Info, the blog… - 0 views

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    This posts discusses the possibilities of an API describing the educational achievements by a person.
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    education API
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