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Sensemaking systems don't only help people find stuff faster. That's just the information retrieval part. The bigger story is about augmenting and amplifying our abilities to make sense. Sensemaking adds things like skimming, power reading, organizing, spotting patterns, tracing social networks, taking notes, summarizing, drilling for details, and flagging biases. Reading an article is different from reading a book, and that's different from reading from a collection or stream. Radically new forms of human-information interaction are being enabled by these new technologies. Sensemaking systems not only have front ends (visualization), but also back ends (content analytics and reasoning).

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.

The W3C OWL 2 Web Ontology Language (OWL) is a Semantic Web language designed to represent ontologies - information about how individuals are grouped and fit together in a particular domain. OWL can represent rich and complex information about classes of individuals and their properties. OWL is a logical language, where every construct has a well-defined meaning, meanings that fit together to support exact and useful representation of many different kinds of information. OWL groups information into ontologies in the form of documents that can be stored and transmitted across the World Wide Web in the same way that data and other kinds of information are and that can be completely and effectively processed by tools that extract the information implicit in an ontology.

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.

Global (e.g. organization-wide) patterns emerge from everyday 'local' (i.e. one-to-one or small-group) conversations. The more that people (in interaction) make sense of events and take action in particular ways, the more likely they are to make similar sense and take similar actions in the future. That is, from an informal coalitions perspective, these patterns are not formed by managerial dictat or design but by the nature of the everyday sensemaking that has gone before.

JSTOR is a not-for-profit organization dedicated to helping the scholarly community discover, use, and build upon a wide range of intellectual content in a trusted digital archive. Our overarching aims are to preserve a record of scholarship for posterity and to advance research and teaching in cost-effective ways. We operate a research platform that deploys information technology and tools to increase productivity and facilitate new forms of scholarship. We collaborate with organizations that can help us achieve our objectives and maximize the benefits for the scholarly community

The NeuroCommons project seeks to make all scientific research materials - research articles, annotations, data, physical materials - as available and as useable as they can be. We do this by both fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine meaningfully, enabling semantically precise queries that span multiple information sources. Our work covers general data and knowledge sources used in computational biology as well as sources specific to neuroscience and neuromedicine. The practices that we develop and promote are designed to play well on the Semantic Web. We view our technical work not as creating a new service or content library, although we do both, but rather as helping to promote the growth of semantically linked scientific information.

The recent announcement by Microsoft of a bid to acquire Yahoo! in a hostile takeover provides stark evidence of the continuing complexity of the intersection of computing and media businesses battling for dominance in the global market. Just as in the case of Time-Warner and AOL (Klein, 2003), the proposed Microsoft-Yahoo! deal is about convergence. The big difference, however, is the new context of threats and opportunities which have led to Redmond's latest effort to deploy its legendary financial muscle in pursuit of corporate goals of market domination. This difference emerges from changing conditions of networked media-computing which are in part associated with the rise of Web 2.0 and which provide an essential clue to understanding why Web 2.0 occupies such an important position in contemporary thinking about the Internet. As I will explain in this paper, Web 2.0 can itself be understood fully only by locating its emergence and significance within the broad movement of convergence of old and new media forms.

SenseMaker™ is one of the few software systems to be built on basis of natural rather than management science. It is designed to augment rather than replace human decision making. SenseMaker™ is supported by the open source Cognitive Edge methods and the unique Cognitive Edge Network of consultants, academics and other practitioners across the world. It has the ability to form a bridge between formal structured systems in an organisation and the free tagging of social computing. It enables serendipitous un-biased encounters with data in the context of need.

I've been running Simpy for almost 4 years now. Every once in a while I get the "Why should I use Simpy?", "Why is Simpy better than, say, del.icio.us?" This post answers those questions in the form of "Why I use Simpy" answer. This are my personal reasons for using Simpy, but you can also read other people's opinions. I also encourage you to add your reasons in the comments, so I can add your reasons to this list.

"The value of any individual piece of knowledge is about the value of any individual piece of lego," Wilbanks said in a keynote address to the Open Access and Research Conference held in Brisbane last week. "It's not that much until you put it together with other legos." He says the ability to connect knowledge brings scientific revolutions. For example Watson and Crick's breakthrough on the structure of DNA involved them reading all the scientific papers on nucleotide bonding and encoding it in the form of a physical model, says Wilbanks. But this kind of "human scale" analysis is no longer feasible in an age when automated laboratory processes generate vast amounts of information faster than the human mind can process it. "For example, we have 45,000 papers about one protein or one gene," says Wilbanks. He says a scientist might once have analysed the impact of one drug on one gene, but now pipetting robots are capable of analysing 25,000 genes at a time. "Most of the research says the smartest of us can handle five or six independent variables at once - not 25,000," he says

ECOSPACE pursues the vision that by 2012 every Professional in Europe is empowered for seamless, dynamic and creative collaboration across teams, organisations and communities through a personalised collaborative working environment. ECOSPACE contributes to this vision through 4 main objectives: * The definition of innovative work paradigms through the analysis of eProfessionals and their related organisation. * The design and development of an open standards, service-oriented architecture for complementary and alike systems. * A collaboration middleware and services to enable seamless and instant collaboration among knowledge workers in group forming networks, beyond organisational boundaries. * The creation of new tools that simplify the complexity of collaboration in dynamic work environments and which enable users for creative and knowledge intensive tasks.

Croquet is a powerful open source software technology that, in the form of the Croquet Software Developer's Kit (Croquet SDK), can be used by experienced software developers to create and deploy deeply collaborative multi-user online vitual world applications on and across multiple operating systems and devices. Derived from Squeak, the Croquet system features a peer-based messaging protocol that dramatically reduces the need for server infrastructures to support virtual world deployment and makes it easy for software developers to create deeply collaborative applications. Cobalt is a National Science Foundation-sponsored effort to develop an open source virtual world browser and authoring toolkit application based on the Croquet technology.

From the start of the 21st century, a new form of employment has emerged in developing countries. It employs hundreds of thousands of people and earns hundreds of millions of dollars annually. Yet it has been almost invisible to both the academic and development communities. It is the phenomenon of "gold farming": the production of virtual goods and services for players of online games. China is the employment epicentre but the sub-sector has spread to other Asian nations and will spread further as online games-playing grows. It is the first example of a likely future development trend in online employment. It is also one of a few emerging examples in developing countries of "liminal ICT work"; jobs associated with digital technologies that are around or just below the threshold of what is deemed socially-acceptable and/or formally-legal.

KHarvester (Informal Knowledge Harvester) is a SOA layer which collects RDF data from web pages. It provides REST based Web Services for managing data available on Social Semantic Information Sources (SSIS): semantic blogs, semantic wikis, and JeromeDL (the Social Semantic Digital Library). These Web Services allow saving harvested data in the informal knowledge repository, and providing them in a form of informal Learning Objects (LOs) that are described accroding to LOM (Learning Object Metadata) standard. Also, IKHarvester is an extension to Didaskon system. Didaskon (διδάσκω - gr. teach) delivers a framework for composing an on-demand curriculum from existing Learning Objects provided by e-Learning services (formal learning). Moreover, the system derives from SSIS which provide informal knowledge. Then, the selection and work-flow scheduling of Learning Objects is based on the semantically annotated specification of the user's current skills/knowledge (pre-conditions), anticipated resulting skills/knowledge (goal) and technical details of the clients platform.

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.

How do chess players make decisions? How do they avoid the combinatorial explosion? How do we go from rooks and knights to abstract thought? What is abstract thought like? These are some of the questions involving the Capyblanca project. The name, of course, is a blend between José Raoul Capablanca, and Hofstadter's original Copycat Project implemented by Melanie Mitchell, which brought us so many ideas. Well, after almost 5 years, we have a proof-of-concept in the form of a running program, and we are GPL'ing the code, so interested readers might take it to new directions which we cannot foresee.

myExperiment is a collaborative environment where scientists can safely publish their workflows, share them with groups and find the workflows of others. Workflows, other digital objects and collections - called Packs - can now be swapped, sorted and searched like photos and videos on the Web. And unlike Facebook or MySpace, myExperiment fully understands the needs of the researcher. myExperiment makes it really easy for the next generation of scientists to contribute to a pool of scientific workflows, build communities and form relationships. It enables scientists to share, reuse and repurpose workflows and reduce time-to-experiment, share expertise and avoid reinvention.

Six weeks ago, the Gonzo Scientist challenged researchers around the world to interpret their Ph.D. research in dance form, film the dance, and share it with the world on YouTube (Science, 10 October, p. 186). By the 11 p.m. deadline this past Sunday, 36 dances--including solo ballet and circus spectacle--had been submitted online.

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.