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Welcome to the Social Media Classroom and Collaboratory. It's all free, as in both "freedom of speech" and "almost totally free beer." We invite you to build on what we've started to create more free value. The Social Media Classroom (we'll call it SMC) includes a free and open-source (Drupal-based) web service that provides teachers and learners with an integrated set of social media that each course can use for its own purposes-integrated forum, blog, comment, wiki, chat, social bookmarking, RSS, microblogging, widgets , and video commenting are the first set of tools. The Classroom also includes curricular material: syllabi, lesson plans, resource repositories, screencasts and videos. The Collaboratory (or Colab), is what we call just the web service part of it. Educators are encouraged to use the Colab and SMB materials freely, and we host your Colab communities if you don't want to install your own.

The International Free and Open Source Software Law Review (IFOSS L. Rev.) is a collaborative legal publication aiming to increase knowledge and understanding among lawyers about Free and Open Source Software issues. Topics covered include copyright, licence implementation, licence interpretation, software patents, open standards, case law and statutory changes.

MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-annotated content from free-tagging. While tags are widely used in Web 2.0 services, their lack of machine-understandable meaning can be a problem for information retrieval, especially when people use tags that can have different meanings depending on the context. MOAT aims to solve this by providing a way for users to define meaning(s) of their tag(s) using URIs of Semantic Web resources (such as URIs from dbpedia, geonames … or any knowledge base), and then annotate content with those URIs rather than free-text tags, leveraging content into Semantic Web, by linking data together. Moreover, tag meanings can be shared between people, providing an architecture of participation to define and exchange potential meanings of tags within a community of users. To achieve this goal, MOAT relies on an architecture that can be deployed for any organisation or community and that involves a lightweight ontology, a MOAT server, and some third-party clients .

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.

Common Tag is an open tagging format developed to make content more connected, discoverable and engaging. Unlike free-text tags, Common Tags are references to unique, well-defined concepts, complete with metadata and their own URLs. With Common Tag, site owners can more easily create topic hubs, cross-promote their content, and enrich their pages with free data, images and widgets.

Zenbe is free email that works with the email you already use. Zenbe offers many features, including email, online calendar, lists, mobile sync, file sharing, team collaboration. It even works with Facebook and Twitter.

The full text of The Future of Reputation is now available online for free. Click on the links below to download PDFs of each chapter. The front matter to the book is at the beginning of each chapter.

CrunchBase is the free database of technology companies, people, and investors that anyone can edit.

The full content of the book can now be downloaded for free.

uClassify is a free web service where you can easily create your own text classifiers.

Web meeting share desktop, show slides, collaborate, chat, talk, and broadcast via webcam with no download required

Yes, good money can actually be made in the rapidly-growing world of free-to-play massive multiplayer online games (MMOs), but just how much can micro-transactions actually generate?

Semantic CrunchBase is an RDF/SPARQL interface to CrunchBase, the free directory of technology companies, people, and investors.

Panda, an open source project, will let any site owner willing to do a little coding and integration work to allow user video uploads and playback. Think YouTube in a box. The software itself is free and will run on Amazon Web Services EC2, S3 and SimpleDB. You'll have to pay for the Amazon services, but this is a nice step forward from a variety of existing paid services out there like Zencoder, SesameVault and Hey!Watch. Panda handles all aspects of uploading, transcoding and streaming, handing things off to a Flash player like JW FLV Player by default.

Despite significant advancement in technology and tools, building ontologies, annotating data, and aligning multiple ontologies remain tasks that highly depend on human intelligence, both as a source of domain expertise and for making conceptual choices. This means that people need to contribute time, and sometimes other resources, to this endeavor. As a novel solution, we have proposed to masquerade core tasks of weaving the Semantic Web behind on-line, multi-player game scenarios, in order to create proper incentives for humans to contribute. Doing so, we adopt the findings from the already famous "games with a purpose" by von Ahn, who has shown that presenting a useful task, which requires human intelligence, in the form of an on-line game can motivate a large amount of people to work heavily on this task, and this for free.

Free online toolkit that makes it easy to work in groups

Sandra Day O'Connor College of Law, ASU. Interactive online civics curriculum, free to all users

The mistake is that semantic search engines present us with Google-like search box and allow us to enter free form queries. So we type the things that we are used to asking - primitive queries. It never occurs to us to type in What actor starred in both Pulp Fiction and Saturday Night Fever? or What two US Senators received donations from a foreign entity? We type simple questions, but this is not where the power of semantic search lies. Lets look at the spectrum of semantic technologies from Google, to SearchMonkey, to Powerset, and Freebase to understand what is going on.

ARC is a flexible RDF system for semantic web and PHP practitioners. It's free, open-source, easy to use, and runs in most web server environments. RDF and SPARQL for LAMP systems

The prototype we describe is a biomedical knowledge base, constructed for a demonstration at Banff WWW2007 , that integrates 15 distinct data sources using currently available Semantic Web technologies such as the W3C standard Web Ontology Language [OWL] and Resource Description Framework [RDF]. This report outlines which resources were integrated, how the knowledge base was constructed using free and open source triple store technology, how it can be queried using the W3C Recommended RDF query language SPARQL [SPARQL], and what resources and inferences are involved in answering complex queries. While the utility of the knowledge base is illustrated by identifying a set of genes involved in Alzheimer's Disease, the approach described here can be applied to any use case that integrates data from multiple domains.