sensemaking

Mycologist Paul Stamets lists 6 ways the mycelium fungus can help save the universe: cleaning polluted soil, making insecticides, treating smallpox and even flu

In 1981, based on a decade of Club's [Club of Rome] research, Peccei wrote: "The future will either be the inspired product of a great cultural revival, or there will be no future" (Peccei, 1981).

The Cultural Revival Dialog - Building the Europe of the Future Together - was organized by the European Movement Croatia in cooperation with the University of Oslo Knowledge Federation Project, on occasion of the 60th anniversary of the International European Movement. The invitation letter was sent to prominent Croatian researchers, policy makers and media workers, inviting them to a free and open dialog about the prospects for contemporary cultural revival. As always, the purpose of this Key Point Dialog was to come closer to the Key Point - an inspiring vision of the cultural revival, which The Club of Rome considered to be the solution to our global issues, or to the world problematique as they called them. This time we began our dialog by reflecting about a specific theme, the Sheng Zhen Qigong. The intention behind this reflection was to become aware of the nature of our present cultural turning point, of the obstacles that hinder us from changing course, and of the opportunities that a new direction may make available.

AceWiki is a semantic wiki that is powerful and at the same time easy to use. Making use of the controlled natural language ACE, the formal statements of the wiki are shown in a way that looks like natural English. In order to help the users to write correct ACE sentences, AceWiki provides a predictive authoring tool.

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

Appropedia is the site for collaborative solutions in sustainability, poverty reduction and international development. Appropedia helps us sustain our world.

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 .

In this article, we will explore the Map/Reduce approach to turn a sequential algorithm into parallel

In my previous article, I introduced the Map/Reduce model as a powerful model for parallelism. However, although Map/Reduce is simple, powerful, and provides a good opportunity to parallelize algorithm, it is based on a rigid procedural structure that requires injection of custom user code and therefore it is not easy to understand the big picture from a high level. You need to drill into the implementation code of the map and reduce functions in order to figure out what is going on.

Semantic technologies are playing an an increasingly important role in capturing and modeling biological knowledge. Semantic systems biology can complement the bottom-up approach with data-driven generation of hypotheses. Therefore, Semantic Systems Biology (SSB) is a systems biology approach that uses semantic description of knowledge about biological systems to facilitate integrated data analysis.

Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.

More than 40 years ago the fragmentation of scientific knowledge was a problem actively discussed but without much visible progress toward a solution; perhaps people then had the consummate wisdom to know that no problem is so big that you can't run away from it.

ARROWSMITH is interactive software that extends the power of a MEDLINE search. It operates on the output of a conventional search in a way that helps the user see new relationships and form and assess novel scientific hypotheses. It is based on the premise that information developed in one area of research can be of value in another without anyone being aware of the fact.

The Bio2RDF project is a tool to convert bioinformatics data and knowledge bases to RDF format. It is a kind of generalized rdfizer for bioinformatics applications, and it is a place for the semantic web life science community to develop and grow.

Semantic web atlas of postgenomic knowledge about human and mouse

This is a sub-project of the BioMoby project. It aims to develop tools in Java in order: * to access BioMoby registries, allowing all features provided by such registries, including but not limited to registering and deregistering of the BioMoby services and their parts, discovering them, and understanding their data in various formats (such as RDF), * to create Java implementations of BioMoby services, especially to help service providers with creating BioMoby data containers (input and output data) without exposing providers to the complexity of the XML required and produced by BioMoby services, and finally

The MOBY system for interoperability between biological data hosts and analytical services The MOBY-S system defines an ontology-based messaging standard through which a client will be able to automatically discover and interact with task-appropriate biological data and analytical service providers, without requiring manual manipulation of data formats as data flows from one provider to the next.

The goal of WikiScience is to create a global community of researchers on wiki communities, with a special focus on Wikipedia and Wikimedia Foundation projects.