sensemaking

Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007

The aims of clinical and translational research are to achieve a better understanding of the pathogenesis of human disease in order to develop effective diagnostic, therapeutic and prevention strategies. Biomedical informatics can play an important role in supporting this research by facilitating the management, integration, analysis and exchange of data derived from and related to the research problems being studied. A key aspect of this support is to bring clarity, rigor and formalism to the representation of 1. disease initiation, progression, pathogenesis, signs, symptoms, assessments, clinical and laboratory findings, disease diagnosis, treatment, treatment response and outcome, and 2. the interrelations between these distinct entities both in patient management and in clinical research, thus allowing the data to be more readily retrievable and shareable, and more able to serve in the support of algorithmic reasoning.

Picturing to Learn (PtL) is founded on the following core premises: one From a student's perspective: undergraduate students can clarify their own understanding of scientific concepts and processes by creating drawings that explain these concepts to non-experts. two From a teacher's perspective: drawings can be useful as: * assessment tools, allowing instructors to identify students' scientific understanding and pinpoint their misconceptions * educational tools, to help inform instructors' lecture preparation

An international research consortium has been formed to create the most detailed and medically useful picture to date of human genetic variation. The 1000 Genomes Project will involve sequencing the genomes of at least a thousand people from around the world. The project will receive major support from the Wellcome Trust Sanger Institute in Hinxton, England, the Beijing Genomics Institute Shenzhen in China and the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health (NIH).

biocurator.org is intended to give a stable web address for information and meetings relating to curation of biological data.

Giving unique and meaningful names to every human gene

The exponential growth of diverse types of biological data presents the research community with an unprecedented challenge and opportunity. The challenge is to stay afloat in the flood of biological data, keeping it as accessible, up-to-date, and integrated as possible. The opportunity is to cultivate new models of data curation and exchange that take advantage of direct participation by a greater portion of the community.

WikiGenes is the first wiki system to combine the collaborative and largely altruistic possibilities of wikis with explicit authorship. In view of the extraordinary success of Wikipedia there remains no doubt about the potential of collaborative publishing, yet its adoption in science has been limited. Here I discuss a dynamic collaborative knowledge base for the life sciences that provides authors with due credit and that can evolve via continual revision and traditional peer review into a rigorous scientific tool.

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

I think that needs to change fundamentally, so that corporations really are in the business of serving all of the factors that help generate wealth-all of the stakeholders, in effect. One way to describe what has to happen, and the way that the situation in the future would be different, would be to describe it as a series of transformations. The first would be a transformation in the market. There would be a real revolution in pricing. Things that are environmentally destructive would be-if they were really destructive-almost out of reach, prohibitively expensive.

Patacritism is a project to develop interpretive tools for online humanities.

Perhaps this is a meme worth exploring more generally but I thought others might be interested in my story, partly because it illustrates how funding drives scientists, and partly because it shows how the combination of opportunism and serendipity can make for successful bedfellows.

This Handbook provides a survey of the field of collective intelligence, summarizing what is known, providing references to sources for further information, and suggesting possibilities for future research.

This article is a guide for collection developers at the point of considering a metadata schema for their digital collection. The nine questions asked in this article will assist a developer in clarifying how he wants the collection to be organized, described, and used. This article uses examples to illustrate how these questions guided the development of a digital collection built at the University of Southern California.

Silobreaker is a search and aggregation service for news and current affairs that looks at the data it finds like a person does. It recognizes things - companies, people, topics, places - and puts them in context. By filtering out the noise and building up a meaningful picture from the information that matters, Silobreaker enables its users to spend more time learning from the web, and less time searching it.

Free online toolkit that makes it easy to work in groups

TechCrunch50 is broadcasting the conference live with their partner UStream which means our fans and supporters can watch our presentation live this morning during the 10:30 Pacific time session on gaming. We've included the live broadcast of the event here. Wish us luck and we look forward to welcoming you into the Akoha community of players soon. Updated 14:39. Our presentation went really well. If you missed it, you can watch the recorded version below.

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.