sensemaking

A new web tool is being used to help foster sensible debate about the conflict in Gaza. Debategraph is a browser-based web application that gives a visual representation of the intricate arguments and issues in a heated debate - more recently being used to create order from the chaos surrounding the crisis in Gaza.

The Global Coherence Initiative empowers co-creation with others for the benefit of all.

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 IRS soon may keep a closer watch on the thousands, if not millions, of small firms and the self-employed that have sprouted up in virtual worlds.

This wiki is an attempt to collaboratively build the theoretical and empirical understanding of Openness and its applicability to the field of human development, and ICT4D in general. It began as a think piece and has now been placed in wiki format hoping to take advantage of collective intelligence.

PHYLIP is a free package of programs for inferring phylogenies. It is distributed as source code, documentation files, and a number of different types of executables.

Resonance is a journal of science education, published monthly by the Indian Academy of Sciences, Bangalore, entering its second decade of publication. The journal is primarily directed at students and teachers at the undergraduate level, though some of the articles may go beyond this range.

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.

Git is an open source, distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

Augmented Wordnets These lexical resources (and the method of their construction) are described in Semantic Taxonomy Induction from Heterogenous Evidence (ACL-06). They are automatically augmented versions of WordNet 2.1

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

Taste is a flexible, fast collaborative filtering engine for Java. The engine takes users' preferences for items ("tastes") and returns estimated preferences for other items. For example, a site that sells books or CDs could easily use Taste to figure out, from past purchase data, which CDs a customer might be interested in listening to.

A new model of evolution's origins traces the possible outlines of a critical and mysterious stage in Earth's infancy, when a few odd chemicals developed into the molecular ancestors of life as we know it.

SWAN (Semantic Web Applications in Neuromedicine) is a project to develop knowledge bases for the neurodegenerative disease research communities, using the energy and self-organization of that community enabled by Semantic Web technology. Created in collaboration with the Alzforum and other partners. Read more about the SWAN project here.

I have written a wrapper to expose openlibrary.org api data as RDF. It is written in Python and deployed on Google App Engine. It is only an illustration of Linked Data publication, and in order to get a first feedback, so do not rely on it in your application since the URL or the content will change in the future.

The Open Library is a project of the Internet Archive. Its goal is to create an online catalog that contains one web page for every book ever published. To do this, it accepts data from a variety of sources: libraries, publishers, book-sellers, and individuals.

Primary Objectives * Build a demo that spans from bench to bedside using RDF and OWL. * Explore the effectiveness of current tools. * Document our finding to help accelerate adoption of the Semantic Web.

# The primary intention of creating aTags is not the categorization of the document, but the representation of the key facts inside the document. Key facts in the biomedical domain might be, for example, "Protein A interacts with protein B" or "Overexpression of protein A in tissue B is the cause of disease C". # An aTag is comprised of a set of associated entities. The size of the set is arbitrary, but will typically lie between 2 and 5 entities. For example, the fact "Protein A binds to protein B" can be represented with an aTag comprising of the three entities "Protein A", "Molecular interaction" and "Protein B". Similarly, the fact "Overexpression of protein A in tissue B is the cause of disease C" can be represented with an aTag comprising of the four entities "Overexpression", "Protein A", "Tissue B" and "Disease C". # Each document or database entry can be described with an arbitrary number of such aTags. Each aTag can be associated with the relevant portions of text or data in a fine granularity. # The entities in an aTag are not simple strings, but resources that are part of ontologies and RDF/OWL-enabled databases. For example, "Protein A" and "Protein B" are resources that are defined in the UniProt database, whereas "Molecular Interaction" is a class in the branch of biological processes of the Gene Ontology. They are identified with their URIs.

Among the activities that people participate in on the Social Web are argumentative discussions and decision making. This paper analyzes a series of use-cases (from the perspective of social media sites) that share the presence of such argumentative discussions and where the structure of online discussions can be represented in SIOC. Our goal is to externalize implicit argumentation structures hidden in the usergenerated content. For capturing it and making it explicit, we propose a SIOC Argumentation ontology module as a formal representation.