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A system and method for organizing knowledge in such a way that humans can find knowledge, learn from it, and add to it as needed is disclosed. The exemplary system has four components: a knowledge base, a learning model and an associated tutor, a set of user tools, and a backend system. The invention also preferably comprises a set of application programming interfaces (APIs) that allow these components to work together, so that other people can create their own versions of each of the components. In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools. The knowledge may be in the form of documents or other media, or it may be a descriptor of a book or other physical source. Each piece of knowledge is associated with various types of meta-knowledge about what the knowledge is for, what form it is in, and so on. The information in the knowledge base can be created specifically for the knowledge base, but it can also consist of information converted from other sources, such as scientific documents, books, journals, Web pages, film, video, audio files, and course notes. The initial content of the knowledge web comprises existing curriculum materials, books and journals, and those explanatory pages that are already on the World Wide Web. These existing materials already contain most of the information, examples, problems, illustrations, even lesson plans, that the knowledge web needs. The knowledge base thus represents the core content (online documents or references to online or offline documents); the meta-knowledge that was created at the time of entry; and a number of user annotations and document metadata that accumulate over time about the usefulness of the knowledge, additional user opinions, certifications of its veracity and usefulness, commentary, and connections between various units of knowledge.

Today's most successful research teams, businesses, hospitals and classrooms have one thing in common: they know how to transform individual ideas into collective knowledge. Researchers call these organizations knowledge-building communities, places where... ... every individual contributes to a growing body of information ... the creation of new knowledge is everyone's most important work ... shared knowledge leads to innovation and growth Knowledge Forum is an electronic group workspace designed to support the process of knowledge building. With Knowledge Forum, any number of individuals and groups can share information, launch collaborative investigations, and build networks of new ideas…together.

This ethnographic study investigates how a project group deals with the contradiction between distributed knowledge in boundary-spanning collaborative processes and the expectation that software systems will provide unified, codified knowledge. Group and individual activities were observed over a period of 18 months, to examine the ways knowledge was presented, recognized, shared, or otherwise managed during joint design of business process and IT systems change. The study explores how knowledge and expertise were translated across organizational boundaries, and identifies four stages in the development of group understanding of how to manage sensemaking and expertise across knowledge boundaries: focus on defining shared goals; acknowledging and sharing tacit knowledge about organizational practice; identifying external influences; and explicit knowledge generation.

Knowledge has generally existed within strict disciplinary boundaries, creating barriers against the free flow of information. The boundaries between disciplines reduces the ability of researchers to fully assess the work that has been accomplished and can lead to redundancy and to situations in which scholars are "reinventing the wheel" when they could instead be advancing knowledge into new frontiers. Is there a solution? There is if we take the time to create a cross-disciplinary understanding of knowledge representation and organization. The solution would require a comprehensive, interdisciplinary effort from scholars in diverse disciplines including communications, sociology, anthropology, information science, biology, computer science and philosophy. The Structure for Encompassing Extensible Knowledge (SEEK) is a model I propose to explore the possibilities for knowledge integration theoretically, technologically and from the perspective of human management.

The project KiWi is concerned with knowledge management in Semantic Wikis and funded by the European Commission under the Project Number 211932 in the EU Seventh Framework Programme (FP7). KiWi's objective is to investigate how knowledge management in highly dynamic environments can be supported using Semantic Wiki technologies, and how Semantic Wikis can be improved to satisfy the requirements of knowledge management. For this purpose, KiWi will * implement an advanced knowledge management system based on the Semantic Wiki IkeWiki and extend it by improved, rule-based reasoning support, information extraction, personalisation, and advanced visualisations and editors * verify the system on two use cases in the areas of project knowledge management and software knowledge management, with flexible workflow models and specific support for the respective application areas.

KHarvester (Informal Knowledge Harvester) is a SOA layer which collects RDF data from web pages. It provides REST based Web Services for managing data available on Social Semantic Information Sources (SSIS): semantic blogs, semantic wikis, and JeromeDL (the Social Semantic Digital Library). These Web Services allow saving harvested data in the informal knowledge repository, and providing them in a form of informal Learning Objects (LOs) that are described accroding to LOM (Learning Object Metadata) standard. Also, IKHarvester is an extension to Didaskon system. Didaskon (διδάσκω - gr. teach) delivers a framework for composing an on-demand curriculum from existing Learning Objects provided by e-Learning services (formal learning). Moreover, the system derives from SSIS which provide informal knowledge. Then, the selection and work-flow scheduling of Learning Objects is based on the semantically annotated specification of the user's current skills/knowledge (pre-conditions), anticipated resulting skills/knowledge (goal) and technical details of the clients platform.

10 Pillars of Knowledge is a systematic map of human knowledge. It presents, at a glance, the structure of knowledge and the meaningful relations among the main fields. Human knowledge is composed of 10 pillars: Foundations, Supernatural, Matter and Energy, Space and Earth, Non-Human Organisms, Body and Mind, Society, Thought and Art, Technology, History

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 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.

X-Media addresses the issue of knowledge management in complex distributed environments. It will study, develop and implement large scale methodologies and techniques for knowledge management able to support sharing and reuse of knowledge that is distributed in different media (images, documents and data) and repositories (data bases, knowledge bases, document repositories, etc.). The project started in March 2006 and will last for 4 years. It has a budget topping Euro 13.6M, (9.9M from the EU). 15 partners are involved from UK, Germany, Italy, France, Slovenia, Greece and Norway.

The relationship among data, information and knowledge is often depicted as a pyramid. With data at the base, it's converted to information and information converted to knowledge. This metaphor of a pyramid or ladder to explain these concepts is unhelpful because you start to believe one is better than the other and there is a tendency to extrapolate to the next level believing that knowledge is simply extrapolated to form wisdom-I have even heard people talk about wisdom management. My two days at the meaning making symposium has helped me see this relationship differently, that is, viewing data, information and knowledge as a system.

Solving the "digital divide" in Africa will not put food in mouths, knowledge in heads, clean water in households, or make healthcare accessible to those who need it most. Leveraging knowledge, skills, and capacities holds out the possibility of doing all of these things. This is what extending knowledge infrastructure is about: building robust and sustainable networks and communities that mobilize a broad range of information practices, institutions, and technologies (old and new) - and put these in the service of locally-defined needs, aspirations, and broad developmental goals. This report summarizes current thinking and action around African knowledge infrastructures.

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.

The prototype we describe is a biomedical knowledge base, constructed for a demonstration at Banff WWW2007 , that integrates 15 distinct data sources using currently available Semantic Web technologies such as the W3C standard Web Ontology Language [OWL] and Resource Description Framework [RDF]. This report outlines which resources were integrated, how the knowledge base was constructed using free and open source triple store technology, how it can be queried using the W3C Recommended RDF query language SPARQL [SPARQL], and what resources and inferences are involved in answering complex queries. While the utility of the knowledge base is illustrated by identifying a set of genes involved in Alzheimer's Disease, the approach described here can be applied to any use case that integrates data from multiple domains.

If companies cannot develop a culture of knowledge sharing and innovation, it's primarily because they are having a hard time measuring the benefits. All metrics of intangibles -and KM in particular- are shaky, and the most promising ones, based on network analysis (VNA) still have a long way to go before they become generally accepted practices. In the meantime, organizing a knowledge market might be the best way to go. Let's imagine what it would look like… First, a separate organization for shared knowledge services would have to be set up, if it doesn't exist already. For lack of a better phrase, let's cal it the corporate university. The problem is that corporate universities, when they exist, are focused on executive programs, which is a very small part of the problem.

How storytelling communicates complex ideas In this group of pages, some of the underlying mechanisms of storytelling and its relationships to knowledge and knowledge management are revealed: Narrative vs abstract thinking : Jerome Bruner Communications as media : the conventional view of Roman Jakobsen Communications the interactive view : Walter Ong Communications as social flow : David Bohm Stories and archetypes : Carl Jung Engineering vs ecological viewpoints : John Seely Brown Storytelling and the literature of persuasion : Homo vendens Storytelling and genuine persuasion : Storytelling and seduction : Jean Baudrillard Storytelling and openness : de Bono Why isn't storytelling taken seriously? Who's to blame? Why does science despise storytelling? Storytelling and zen: Eastern concepts of knowledge Storytelling and post-modernism: Jean-François Lyotard

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.

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.

SWiM is a semantic wiki for collaboratively building, editing and browsing a mathematical knowledge base. Its pages, containing mathematical theories, are stored in OMDoc, a markup format for mathematical knowledge. Our long-term objective is to develop a software that facilitates the creation of a shared, public collection of mathematical knowledge (e.g. for education) and serves work groups of mathematicians as a tool for collaborative development of new theories.

CKAN is the Comprehensive Knowledge Archive Network, a registry of open knowledge packages and projects (and a few closed ones). CKAN is the place to search for open knowledge resources as well as register your own.