sensemaking

OntoMat-Annotizer is a user-friendly interactive webpage annotation tool. It supports the user with the task of creating and maintaining ontology-based OWL-markups i.e. creating of OWL-instances, attributes and relationships. It include an ontology browser for the exploration of the ontology and instances and a HTML browser that will display the annotated parts of the text. It is Java-based and provide a plugin interface for extensions. The intended user is the individual annotator i.e., people that want to enrich their web pages with OWL-meta data. Instead of manually annotating the page with a text editor, say, emacs, OntoMat allows the annotator to highlight relevant parts of the web page and create new instances via drag?n?drop interactions. It supports the meta-data creation phase of the lifecycle. It is planned that a future version will contain an information extraction plugin, that offers a wizard which suggest which parts of the text are relevant for annotation. That aspect will help to ease the time-consuming annotation task.

OntoWebber is a Web site management system, which facilitates the creation, generation and maintenance of Web sites. Using OntoWebber, site engineers can build site models for domain-specific Web sites. The site models are based on explicit ontologies including the domain ontology and four distinct site-modeling ontologies. Using a RDF-aware rule engine, rules can be defined to check integrity constraints on the resulting site models, thus enforcing desirable properties of the materialized Web site. Both ontologies and site models are expressed using RDF(S)/XML languages. Rules are defined in the F-logic format. The prototype system provides an Integrated Development Environment (IDE) for site engineers to performed all the above tasks for managing Web sites.

In this paper an application of methodologies to automatically acquire semantic word classes and to use them in text information retrieval systems is described.

GATE is... * the Eclipse of Natural Language Engineering, the Lucene of Information Extraction, a leading toolkit for Text Mining * used worldwide by thousands of scientists, companies, teachers and students * comprised of an architecture, a free open source framework (or SDK) and graphical development environment * used for all sorts of language processing tasks, including Information Extraction in many languages * funded by the EPSRC, BBSRC, AHRC, the EU and commercial users * 100% Java reference implementation of ISO TC37/SC4 and used with XCES in the ANC * 10 years old in 2005, used in many research projects and compatible with IBM's UIMA * based on MVC, mobile code, continuous integration, and test-driven development, with code hosted on SourceForge

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.

Melita is an ontology-based text annotation tool. It implements a methodology with the intent to manage the whole annotation process for the users. It was noticed that several steps in the process, which till now are done manually can be easily automated and handled all by the system. The main competencies of Melita can be summarised into four groups, i.e. the Managing task, the Extraction, the Learning and the Information Tagging Autonomously. This is performed thanks to the use of a smart interface together with a powerfull Information extraction algorithm. Melita has now been replaced by AKTive Media , please click here to download AKTive Media, Melita is no longer used or available for download

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SMORE is a tool that allows users to markup their documents in RDF using web ontologies in association with user-specific terms and elements. The aim of this software is as follows: To provide the user with a flexible environment in which he can create his web page without too many hindrances involving markup To allow the user to markup his document with minimal knowledge of RDF terms and syntax. However, the user should be able to semantically classify his data set for annotation i.e. breakup sentences into the basic subject-predicate-object model To provide a reference to existing ontologies on the Internet in order to use more precise references in his own web page/text. The user can also create his own ontology from scratch and borrow terms from existing ontologies To ensure accurate and complete RDF markup with scope to make modifications easily

The Knowledge Annotator is a Java program that allows users to mark-up web pages with SHOE knowledge without having to worry about the HTML-like codes. The Annotator is available as an applet or a stand-alone Java application.

The Open Translation Engine (OTE) is a web-based translation dictionary manager.

Six weeks ago, the Gonzo Scientist challenged researchers around the world to interpret their Ph.D. research in dance form, film the dance, and share it with the world on YouTube (Science, 10 October, p. 186). By the 11 p.m. deadline this past Sunday, 36 dances--including solo ballet and circus spectacle--had been submitted online.

Wanted: Better Wikipedia coverage of theoretical computer science

The Open Knowledge Definition (OKD) sets out principles to define the 'open' in open knowledge. The term knowledge is used broadly and it includes all forms of data, content such as music, films or books as well any other type of information. In the simplest form the definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it". For details read the latest version of the full definition (with explanatory annotations). The history page includes a changelog and links to all previous versions.

The COMMUNIA Thematic Network aims at becoming a European point of reference for theoretical analysis and strategic policy discussion of existing and emerging issues concerning the public domain in the digital environment - as well as related topics, including, but not limited to, alternative forms of licensing for creative material; open access to scientific publications and research results; management of works whose authors are unknown (i.e. orphan works).

The Open Knowledge Foundation is a not-for-profit organization founded in 2004 with the simple aim of promoting (and protecting) open knowledge. It is our belief that open approaches to the production and distribution of knowledge can deliver far-reaching social and commercial benefits in a variety of areas.

State of the World Forum was founded in 1995 by Jim Garrison with Mikhail Gorbachev, who served as the Convening Chairman.

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.

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?)

To The Best Of Our Knowledge