sensemaking

This project is a collaborative effort by computer scientists and engineers from Texas A&M and UC Berkeley consulting with natural scientists and documentary filmmakers. The goal is to advance the fundamental understanding of automated and collaborative systems that combine sensors, actuators, and human input to observe and record detailed natural behavior in remote settings.

Entitled "Severe Space Weather Events - Understanding Societal and Economic Impacts," it describes the consequences of solar flares unleashing waves of energy that could disrupt Earth's magnetic field, overwhelming high-voltage transformers with vast electrical currents and short-circuiting energy grids. Such a catastrophe would cost the United States "$1 trillion to $2 trillion in the first year," concluded the panel, and "full recovery could take four to 10 years." That would, of course, be just a fraction of global damages.

World Pulse is an interactive global media enterprise that covers global issues through the eyes of women. We publish a magazine and link it to our global community newswire, called PulseWire, where women from over 130 countries, including from rural villages, are speaking for themselves and connecting to solve global problems.

The Lemur Toolkit is a open-source toolkit designed to facilitate research in language modeling and information retrieval. Lemur supports a wide range of industrial and research language applications such as ad-hoc retrieval, site-search, and text mining. The toolkit supports indexing of large-scale text databases, the construction of simple language models for documents, queries, or subcollections, and the implementation of retrieval systems based on language models as well as a variety of other retrieval models. The system is written in the C and C++ languages, and is designed as a research system to run under Unix operating systems, although it can also run under Windows.

The YAGO-NAGA project started in 2006 with the goal of building a conveniently searchable, large-scale, highly accurate knowledge base of common facts in a machine-processible representation. We have already harvested knowledge about millions of entities and facts about their relationships, from Wikipedia and WordNet with careful integration of these two sources. The resulting knowledge base, coined YAGO, has very high precision and is freely available. The facts are represented as RDF triples, and we have developed methods and prototype systems for querying, ranking, and exploring knowledge. Our search engine NAGA provides ranked answers to queries based on statistical models.

Our goal in creating this site is to provide the basis for a thriving community of UIMA developers who can announce, discuss, design, share, and critique UIMA-compliant components, resources and solutions. The Unstructured Information Management Architecture (UIMA) is a software framework that supports rapid development and deployment of multimodal analytics - applications which provide value by processing human-readable text, audio and/or video in order to extract information, answer questions, summarize documents, etc.

people don't necessarily want to solve puzzles on their own. They often enjoy attacking them in online collaborative groups that include dozens, sometimes millions, of fans. These groups are collectively far smarter than their individual members, and regular puzzles don't stand a chance against that many brains.

Pre-Proceedings of the Workshop on Controlled Natural Language (CNL 2009)

This proposes and calls for expressions of interest in developing an international, voluntary, public register of risks to sustainability and of their causal paths - including those which are indirect, remote or transnational in nature.

Real-time web search - which scours only the latest updates to services like Twitter - is currently generating quite a buzz because it can provide a glimpse of what people around the world are thinking or doing at any given moment. Interest in this kind of search is so great that, according to recent leaks, Google is considering buying Twitter.

This summary was born out of a question on Twitter and percolated to FriendFeed, which was "Who is using RDF and integrating other resources at the minute and what are those resources? From this question, several resources were highlighted

This paper introduces the concept of phatic technology and analyses its role in modern society. A phatic technology is a technology that serves to establish, develop, and maintain human relationships. The primary function of this type of technology is to create a social context: its users form a social community with a collection of interactional goals, which may be relevant to all human interchanges in that social context.

Web Science 2009 Journal

The ability to make progress in Computational Linguistics depends on the availability of large annotated corpora, but creating such corpora by hand annotation is very expensive and time consuming; in practice, it is unfeasible to think of annotating more than one million words. However, the success of Wikipedia and other projects shows that another approach might be possible: take advantage of the willingness of Web users to contribute to collaborative resource creation. AnaWiki is a recently started project that will develop tools to allow and encourage large numbers of volunteers over the Web to collaborate in the creation of semantically annotated corpora (in the first instance, of a corpus annotated with information about anaphora).

Cloudera presents the MapReduce bull case

This wiki collects information about tools and resources that can help scholars (particularly in the humanities and social sciences) conduct research more efficiently or creatively. Whether you need software to help you manage citations, author a multimedia work, or analyze texts, Digital Research Tools will help you find what you're looking for. We provide a directory of tools organized by research activity, as well as reviews of select tools in which we not only describe the tool's features, but also explore how it might be employed most effectively by researchers.

The scholarly literature forms a vast network of academic papers connected to one another by citations in bibliographies and footnotes [1]. The structure of this network reflects millions of decisions by individual scholars about which papers are important and relevant to their own work. Therefore within the structure of this network is a wealth of information about the relative influence of individual journals, and also about the patterns of relations among academic disciplines. Our aim at eigenfactor.org is develop ways of extracting this information.

I hope that "Smarter" is going to be a key tag for the Web 3.0, and yet I think "More Open, More Ubiquitous, with even More Information (Overload) and a little Smarter" is what it's really going to be. We'll have to wait till "Web 4.0" for a web that really is stepwise more intelligent, one that could really be called semantic and hold the hidden promises of a "Semantic Web". And the reason I believe this is that the community is focused on linking more stuff together in new ways and breaking down data siloes, much more than it is focused on creating new, smarter filters for all the data that's going to be made accessible that way.

There's a long-time debate between those who advocate for semantic markup, and those who believe that machine learning will eventually get us to the holy grail of a Semantic Web, one in which computer programs actually understand the meaning of what they see and read.