Group items tagged

This exploratory study examines the relationships between article and Talk page contributions and their effect on article quality in Wikipedia. The sample consisted of three articles each from the hard sciences, soft sciences, and humanities, whose talk page and article edit histories were observed over a five-month period and coded for contribution types. Richness and neutrality criteria were then used to assess article quality and results were compared within and among subject disciplines. This study reveals variability in article quality across subject disciplines and a relationship between Talk page discussion and article editing activity. Overall, results indicate the initial article creator's critical role in providing a framework for future editing as well as a remarkable stability in article content over time.

Assuming that meaning is dependent upon the interplay between lived experience and theoretical (cultural and social) constructs, the task of this chapter in analyzing the sensemaking processes and activities which occurred during the field trip is to integrate lived experiences with theoretical constructs in such a way that the meanings generated from this integration resonate as valid for both field trip participants and informed readers. Or to paraphrase Ken Wilber,1 through the integration of subjective truthfulness and objective truth we seek mutual understanding. To achieve this end, my analysis incorporates the three strands of valid knowing (instrumental injunction, direct experience, and communal confirmation), as outlined in chapter two, and the three cultural value spheres (subjective, intersubjective, and objective domains of knowing), also outlined in chapter two, with three sensemaking themes (being there, storytelling, and living together) which emerged directly from the lived experiences of the participants during the course of the field trip.

Upper Mapping and Binding Exchange Layer A lightweight, subject concept reference structure for the Web

AGROVOC is a multilingual, structured and controlled vocabulary designed to cover the terminology of all subject fields in agriculture, forestry, fisheries, food and related domains (e.g. environment).

SMORE is a tool that allows users to markup their documents in RDF using web ontologies in association with user-specific terms and elements. The aim of this software is as follows: To provide the user with a flexible environment in which he can create his web page without too many hindrances involving markup To allow the user to markup his document with minimal knowledge of RDF terms and syntax. However, the user should be able to semantically classify his data set for annotation i.e. breakup sentences into the basic subject-predicate-object model To provide a reference to existing ontologies on the Internet in order to use more precise references in his own web page/text. The user can also create his own ontology from scratch and borrow terms from existing ontologies To ensure accurate and complete RDF markup with scope to make modifications easily

Upper Mapping and Binding Exchange Layer A lightweight, subject concept reference structure for the Web

The Patent and Trademark Office has now made clear that its newly developed position on patentable subject matter will invalidate many and perhaps most software patents, including pioneering patent claims to such innovators as Google, Inc

Yes, knowledge management is the hottest subject of the day. The question is: what is this activity called knowledge management, and why is it so important to each and every one of us? The following writings, articles, and links offer some emerging perspectives in response to these questions. As you read on, you can determine whether it all makes any sense or not.

Online study group community Cramster announced today that the company has raised a $3 million investment and after checking out the site, we can see why. This active, full featured and well design service looks really compelling for students and has a solid business model. Members can participate in forums about homework, get quick answers to questions 24 hours a day and access explanations of problems from more than 200 of the most popular text books in 7 subject areas. There are free and paid membership levels at $10 per month and users deemed helpful by others can receive financial rewards like gift certificates.

Web Science 2009 Journal

The nLab is a collaborative wiki which has grown out of the desire (I, II) of an on-line community communicating via the weblog The n-Category Café of people interested in discussion of expository and research nature about mathematics, physics and philosophy in the light of category theory and higher category theory (the "n" in "nLab") to have a place for development (the "Lab" in "nLab") and indexed archivation of the ideas and concepts that were, are and will be subject of or that developed out of the discussion at the weblog.

How to Make a Complete Map of Every Thought You Think

"The debate within the Web community over the optimal means by which to organize information often pits formalized classications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site del.icio.us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for “popular” sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise. We empirically examine the tagging history of sites in order to determine how this distribution arises over time and to determine the patterns prior to a stable distribution. Lastly, by focusing on the high-frequency tags of a site where the distribution of tags is a stabilized power law, we show how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags."

The paper shows that the tags users choose are not chaotic, but rather quickly converge to a common descriptive set of tags that is almost unchanging over time. Perhaps once the tags have stabilized, coherent URI-based identification schemes could emerge?

Nice paper, thanks. Categories / tags / subjects / topics / issues ... that's what I'm working with right now. p.s. sure would be nice if the email notification included the source URL. I'm far more likely to download the PDF when I see something like www2007.org/paper635.pdf