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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.
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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

sioc-project.org | Semantically-Interlinked Online Communities - 0 views

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    mogelijk interessant framework.. interlinking communities...
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    What is SIOC? The SIOC initiative (Semantically-Interlinked Online Communities) aims to enable the integration of online community information. SIOC provides a Semantic Web ontology for representing rich data from the Social Web in RDF.
Thieme Hennis

Half an Hour: Why the Semantic Web Will Fail - 0 views

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    very interesting discussion about the semantic web, why it will or won't fail, some historical points and standards being used.
Thieme Hennis

Web Technology Trends for 2008 and Beyond - 0 views

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    PRESENTATION: Richard MacManus looks at the top trends covered on ReadWriteWeb in early 2008; such as Websites becoming web services, Semantic Apps, Open Data, Mobile Web, Recommendation Engines.
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    PRESENTATION: Richard MacManus looks at the top trends covered on ReadWriteWeb in early 2008; such as Websites becoming web services, Semantic Apps, Open Data, Mobile Web, Recommendation Engines. >> overview
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

An Introduction to the Resource Description Framework - 0 views

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    RDF, semantic web
Thieme Hennis

[true knowledge]™ - home - 0 views

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    PRESENTATION: Richard MacManus looks at the top trends covered on ReadWriteWeb in early 2008; such as Websites becoming web services, Semantic Apps, Open Data, Mobile Web, Recommendation Engines. Our initial products are: * The True Knowledge Answer Engine - a search engine-like consumer site which can answer questions, be used to add knowledge and also be used just like a conventional search engine. * an API product for computer-generated queries.
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    search engine technology +++
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

Improving Tag-Clouds as Visual Information Retrieval Interfaces - 0 views

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    This paper presents a novel approach to Tag-Cloud's tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. The results suggest that presented approach reduces the semantic density of tag set, and improves the visual consistency of Tag-Cloud layout.
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    handig.. een alternative manier om tag-clouds te maken. makes sense.
Thieme Hennis

Towards the semantic web: Collaborative tag suggestions - 0 views

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    Yahoo! employee describes and defines criteria and algorithms for a collaborative tag system: Since tags are created by individual users in a free form, one important problem facing tagging is to identify most appropriate tags, while eliminating noise and spam. For this purpose, we define a set of general criteria for a good tagging system. These criteria include high coverage of multiple facets to ensure good recall, least effort to reduce the cost involved in browsing, and high popularity to ensure tag quality. We propose a collaborative tag suggestion algorithm using these criteria to spot high-quality tags.
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    another one about tagging: describes criteria for a good tagging system.
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

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

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

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

Intelligent Agents: Theory and Practice - 0 views

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    overview of agent theory and practice
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    The concept of an agent has become important in both Artificial Intelligence (AI) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents.
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

Twine - Organize, Share, Discover Information Around Your Interests - 0 views

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    Twine is a new service that helps you organize, share and discover information about your interests, with networks of like-minded people. You can use Twine alone, with friends, groups and communities, or even in your company.
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    idd een erg interessant initiatief, wat overeenkomstigheden heeft met PEERS. Toch wordt hier geen onderscheid gemaakt tussen wat een persoon creëert, en wat een persoon leest/bekijkt. Ook is er geen beoordelingsmechanisme/algoritme.
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

Fringe Contacts: People-Tagging for the Enterprise - 0 views

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    Tagging has arisen as way to enable users to contribute to a loose taxonomy characterizing web pages, pictures, products and other things. We propose tagging people in order to help individuals keep track of each other while contributing to a loose characterization of their friends and colleagues. "Fringe Contacts" is a reference system designed to test whether people- tagging is a viable and useful approach.
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    people tagging.. we need that too?
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