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DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.

Wikipedia, the free online encyclopedia, has challenged the way that reference works are used and understood, and even the way that the collective enterprise of knowledge construction and circulation is itself conceptualized. The article presents an ethnographic study of Wikiversity, an educationally-oriented sister project to Wikipedia. It begins by providing an overview of the orientations and aims of Wikiversity, which seeks to provide for participants both open educational contents and an open educational community. It then undertakes a detailed examination of this project's emerging, overlapping communities and cultures by providing descriptions produced through a combination of ethnographic techniques. These descriptions focus on the experiences of a participant-observer in the context of an 11-week course developed and delivered via Wikiversity, titled Composing Free and Open Online Educational Resources. These descriptions are discussed and interpreted through reference to qualitative studies of the more developed dynamics of the Wikipedia effort - allowing this study to trace the possible trajectories for the future development of the fledgling Wikiversity project. In this way, this paper investigates the communal and cultural dynamics of an undertaking that - should it meet only with a fraction of Wikipedia's success - will be of obvious significance to education generally.

Faviki is a social bookmarking tool which allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge. Thanks to DBpedia, which extracts structured information from Wikipedia and represents it in a flexible data model, these tags are reference to objects which are categorized automatically, keeping your and your friend's bookmarks and interests well organized.

The goal of this project is to develop a Python tool to make an in-depth quantitative analysis about Wikipedia, generating graphics and statistical results for each language version of Wikipedia.

This doctoral thesis offers a quantitative analysis of the top ten language editions of Wikipedia, from different perspectives. The main goal has been to trace the evolution in time of key descriptive and organizational parameters of Wikipedia and its community of authors.

The problem with social networking services is that you do not control a social network, which can behave in highly unpredictible ways according to the theory of complex systems, especially if the strategic intent of its originator is not clear. For me, no human society, whether in the real world or in the virtual world, can survive without some form of visible leadership, i.e. someone who symbolizes what the brand stands for. I don't know about Facebook, and I honestly do not understand where it is going. But for Wikipedia, there is a big risk remaining faceless. In France, Wikipedia is said to be in the hands of the far left of the political spectrum, and manipulating content accordingly. It might be true or not, but if nobody stands up against this accusation, it might prevail in the end. Perception is reality.

Wanted: Better Wikipedia coverage of theoretical computer science

Faviki is a social bookmarking tool that allows users to annotate the contents of web pages by Wikipedia concepts. Using Wikipedia as a source of a universal controlled vocabulary, it provides so-called 'semantic tags' which are standardized and computer-interpretable. In this way, Faviki is able to solve some common problems related to classic 'folksonomy' tags, in particular: polysemy, synonymy, different lexical forms, and lack of a commonly agreed meaning of terms. In a wider perspective, Faviki aims to speed up the transition from Web 2.0 to the Semantic Web.

Faviki is a tool that brings together social bookmarking and Wikipedia. It lets you bookmark web pages using Wikipedia's terms. In Faviki, everybody uses the same names for tags from the world's largest collection of knowledge!

Action research is a reflective process of progressive problem solving led by individuals working with others in teams or as part of a "community of practice" to improve the way they address issues and solve problems. Action research can also be undertaken by larger organizations or institutions, assisted or guided by professional researchers, with the aim of improving their strategies, practices, and knowledge of the environments within which they practice.

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.

To manage information quality (IQ) effectively, one needs to know how IQ changes over time, what causes it to change, and whether the changes can be predicted. In this paper we analyze the structure of IQ change in Wikipedia, an open, collaborative general encyclopedia. We found several patterns in Wikipedia's IQ process trajectories and linked them to article types. Drawing on the results of our analysis, we develop a general model of IQ change that can be used for reasoning about IQ dynamics in many different settings, including traditional databases and information repositories.