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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

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

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

Creating Passionate Users: The "Dumbness of Crowds" - 0 views

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    cool blogpost explaining Wisdom of Crowds, a criticism on how it is conceived by many.
Thieme Hennis

Citizendium Blog » Syndicated Web ratings - an idea whose time has come? - 0 views

  • (c) Moreover, a feed could have meta-data about the person doing the rating, listing facts like education level, age, ethnicity, political views, or whatever a person might feel is relevant.
  • (4) Search engines then use the data aggregated by the registrar(s). Due to the quantity and variety of data published in the aggregated feeds, it becomes possible to weight and filter search results not just on Google-style pagerank algorithms, but also things like: (a) quality according to generally trusted sources; or quality according to your peer group; or quality according to academic and academic-endorsed sources; etc.
  • Moreover, with data included in the feed about the rater, we would be enabled to see, for any given search, what the top rated websites were for our peer group. How teenage girls rate a news article might differ greatly from how 40-year-old men rate them — and this would be useful data for both groups to have.
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    interesting blog post about the need for syndicated web ratings.
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    heel interessant idee, zeer veel raakvlak met Peers IMS.
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?
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.
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