Group items tagged

Cofundos helps to realize open-source software ideas, by providing a platform for their discussion & enrichment and by establishing a process for organizing the contributions and interests of different stakeholders in the idea.

SWAML, pronounced [swæml], is a research project around the semantic web technologies to publish the mailing lists' archives into a RDF format. It has been developed by the CTIC Foundation and the WESO-RG at University of Oviedo (Spain). You can visit the project page at BerliOS for more details. SWAML process description SWAML reads a collection of email messages stored in a mailbox (from a mailing list compatible with RFC 4155) and generates a RDF description. It is written in Python using SIOC as the main ontology to represent in RDF a mailing list.

The concept of representation format, or type, permeates all technical areas of digital repositories. Policy and processing decisions regarding object ingest, storage, access, and preservation are frequently conditioned on a per-format basis. In order to achieve necessary operational efficiencies, repositories need to be able to automate these procedures to the fullest extent possible. JSTOR and the Harvard University Library are collaborating on a project to develop an extensible framework for format validation: JHOVE (pronounced "jove"), the JSTOR/Harvard Object Validation Environment.

Functional Requirements for Sharing Tag Data The TagCommons effort is operating something like a software project. The process is very lightweight, but has an important step that is often forgotten in discussions about ontologies and formats: for what purposes are we designing this? These days, a good way to look at functional requirements for software is to identify use cases and then derive engineering requirements. This was the first outcome of the working group, and the results are summarized here. We will describe the use cases first and then the requirements.

It has been recognised that failures within an organisation can often be related to the over simplification of the belief structures that are used in decision making.2 Distributed cognition is a framework that can be used for analysing complex distributed settings to explain how the social activities within these impact the cognitive processes of the participants.� Rather than focussing on the mind, the material world is seen as being central.� It shows how important it is that participants in a setting can look at their own interpretations and discus these with others before deciding which actions to take.

AKTive Media is an ontology based cross-media annotation (Images and Text) system. Our goal is to automate the process of annotation by suggesting knowledge to the user in an interactive way while the user is annotating and hence minimizing user effort. The system actively works in the background, interacting with web services and queries our central annotational store to look for context specific knowledge.

Welcome to the Netroots Nation question submission page for the Saturday morning (July 19, 9:00am) keynote session "Ask The Speaker." The event empowers citizens to engage America's current House Speaker in substantive discussion about current issues, the legislative process, and how citizens can participate in their government. Instead of simply giving a speech at a podium, Speaker Pelosi will be taking your questions and interacting with convention attendees. The 9 a.m. keynote will be moderated by Gina Cooper, Netroots Nation's Executive Director, and Jeffrey Feldman, author and blogger. But it all begins right now, right here, when you submit your questions and vote on questions submitted by others.

We propose a biologically and physically plausible model for ants and pheromones, and show this model to be sufficiently powerful to simulate the computation of arbitrary logic circuits. We thus establish that coherent deterministic and centralized computation can emerge from the collective behavior of simple distributed markovian processes as those followed by ants.

As computers and computer networks become more sophisticated, a huge amount of information, such as that found in Web documents, has been accumulated and circulated. Such information gives people a framework for organizing their daily lives. A well-functioning society needs technology that can be used to manage this wealth of information and, in particular, investigate its credibility. This technology would be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and various related opinions and the distribution of them, and so on. Especially, as the Web is becoming a major source of information nowadays, it is necessary to provide efficient and reliable methods for evaluation of Web content's trustworthiness. The aim of this workshop is to provide a forum for discussion on issues related to information credibility criteria and the process of its evaluation.

In the following, we document the following types of information for behaviors (e.g., group goal setting), phenomena (e.g., team performance), or concepts (e.g., process gain), pathologies (e.g., social loafing), biases (e.g., loss aversion). For each, we list one or more of the following, depending on the richness of available research, listing both theories and empirical evidence where available: * Typology (what is it?) * Origins, mechanisms, mediators (how does it work?) * Issues, pathologies, biases (what are the problems with its workings?) * Determinants, moderators (what affects it, directly or indirectly?)

Increasing levels of carbon dioxide in the atmosphere may make Earth's oceans more acidic faster than previously thought-unbalancing ecosystems in the process, a new study says

I want a page, a site, a thing that is created, curated, edited, and discussed. It's a blog that treats a topic as an ongoing and cumulative process of learning, digging, correcting, asking, answering. It's also a wiki that keeps a snapshot of the latest knowledge and background. It's an aggregator that provides annotated links to experts, coverage, opinion, perspective, source material. It's a discussion that doesn't just blather but that tries to accomplish something (an extension of an article like this one that asks what options there are to bailout a bailout). It's collaborative and distributed and open but organized.

Computational Collective Intelligence (CCI) is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions or processing knowledge among autonomous units acting in distributed environments. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The aim of this conference is to provide an internationally respected forum for scientific research in the computer-based methods of collective intelligence and their applications in (but not limited to) such fields as semantic web, social networks and multi-agent systems.

Computers and common sense

The talk you are about to hear is the result of a lengthy process on my part. My specialty is in thinking about and, unfortunately, predicting collapse. My method is based on comparison: I watched the Soviet Union collapse, and, since I am also familiar with the details of the situation in the United States, I can make comparisons between these two failed superpowers.

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.

Jigsaw provides a collection of visualizations that each portray different aspects of the documents. We particularly focus on presenting the identifiable important entities (people, places, organizations, etc.) and their direct or indirect connections. Textual processing extracts the important entities from the documents and then the visualizations help an analyst to explore the relationships and connections among the entities. The system includes graph, calendar, scatterplot and and tabular connections-based views, as well as views of individual document's text and the report collections as a whole. Jigsaw essentially acts as a visual index onto the document collection, helping analysts identify particular documents to read and examine next.

The three most important aspects of an Open Science model are: 1) Open Access to scientific journals; 2) access to the raw material as Open Data; and 3) access to the transparent Open Process of the research methodologies itself.

Biophysical economics is characterized by a wide range of analysts from diverse fields who use basic ecological and thermodynamic principles to analyze the economic process. The history of biophysical thought is traced from the 18th-century Physiocrats to current empirical research, with emphasis on those individuals who contributed to the development of biophysical economic theory. Attention is also given to a critique of the neoclassical theory of natural resources from a biophysical perspective, and how recent empirical biophysical research highlights areas of neoclassical theory which could be improved by a more realistic and systematic treatment of natural resources.

Biophysical economics is a basis for economic analysis that acknowledges, analyzes and uses the biological and physical (as opposed to social) properties, structures and processes of real economic systems as its conceptual base and fundamental model. It acknowledges that the basis for nearly all wealth is nature, and views most human economic activity as a means to increase (directly or indirectly) the exploitation of nature to generate more wealth. As such, it focuses on the structure and function of real economies from an energy and material perspective, but often considers the relation of this structure and function to human welfare and to the money (i.e. dollar) flows that tend to go in the opposite direction to energy (Odum 1972).