Group items tagged

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.

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.

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.

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.

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.

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.

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.

The Institute for the Study of Knowledge Management in Education (ISKME) is an independent, nonprofit research institute that helps schools, colleges, universities, and the organizations that support them expand their capacity to collect and share information, apply it to well-defined problems, and create human-centered, knowledge-driven environments focused on learning and success.

Annotating is a pervasive element of scholarly practice for both the humanist and the scientist. It is a method by which scholars organize existing knowledge and facilitate the creation and sharing of new knowledge. It is used by individual scholars when reading as an aid to memory, to add commentary, and to classify. It can facilitate shared editing, scholarly collaboration, and pedagogy. Over time annotations can have scholarly value in their own right. Yet scholars remain dissatisfied with the options available for annotating digital resources. Scholars wanting to annotate have to learn different annotation clients for different content repositories, have no easy way to integrate annotations made on different systems or created by colleagues using other tools, and are often limited to simplistic and constrained models of annotation. The importance of annotating as a scholarly practice coupled with the real-world limitations of existing practices and tools supporting annotation of digital content has had a retarding effect on the growth of digital scholarship and the level of digital resource use by scholars.

Connexions is: a place to view and share educational material made of small knowledge chunks called modules that can be organized as courses, books, reports, etc. Anyone may view or contribute: * authors create and collaborate * instructors rapidly build and share custom collections * learners find and explore content

"This paper proposes the creation of an Augmented Social Network (ASN) that would build identity and trust into the architecture of the Internet, in the public interest, in order to facilitate introductions between people who share affinities or complimentary capabilities across social networks. The ASN has three main objectives: 1) To create an Internet-wide system that enables more efficient and effective knowledge sharing between people across institutional, geographic, and social boundaries. 2) To establish a form of persistent online identity that supports the public commons and the values of civil society. 3) To enhance the ability of citizens to form relationships and self-organize around shared interests in communities of practice in order to better engage in the process of democratic governance. In effect, the ASN proposes a form of "online citizenship" for the Information Age."

Way ahead of its time, and I believe Facebook's (and LinkedIn's, and Plaxo's, and...) successes largely substantiate the emphasis the authors place on the significance of rich support for social trust and identity mechanisms.

Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.

Social Enterprise Innovation Network members help each other get to the next level of impact faster and more effectively thanks to accelerated knowledge discovery, rapid skill development, and new partnership opportunities.

What is the OpenKnowledge project? In a nutshell, OpenKnowledge is a system which allows peers on an arbitrarily large peer-to-peer network to interact productively with one another without any global agreements or pre-run-time knowledge of who to interact with or how interactions will proceed. Any kind of service (e.g., a WSDL service) can become a peer or else we provide facilities for users to easily create their own peer, by sharing existing code or writing their own.

KnowledgeForge is a digital open knowledge community based around this site. It is built on the KForge system and aims to provide you with the facilities and tools to create everything from a new textbook to maps. The only requirement to host a project on this site is that it be open.

Lately I've posted on the need for the enterprise to not use email for everything, and the enabling tools that are more appropriate, especially network centric tools that add the dimension of getting things done via informal circles without relying on just your close colleagues and your hierarchy.

MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-annotated content from free-tagging. While tags are widely used in Web 2.0 services, their lack of machine-understandable meaning can be a problem for information retrieval, especially when people use tags that can have different meanings depending on the context. MOAT aims to solve this by providing a way for users to define meaning(s) of their tag(s) using URIs of Semantic Web resources (such as URIs from dbpedia, geonames … or any knowledge base), and then annotate content with those URIs rather than free-text tags, leveraging content into Semantic Web, by linking data together. Moreover, tag meanings can be shared between people, providing an architecture of participation to define and exchange potential meanings of tags within a community of users. To achieve this goal, MOAT relies on an architecture that can be deployed for any organisation or community and that involves a lightweight ontology, a MOAT server, and some third-party clients .

CollabRx applies collaborative science to slash the time, cost and risk of therapy development. CollabRx builds and operates Virtual Biotechs for foundations and patients who urgently seek cures for their diseases. Working with these foundations and research institutions, CollabRx * builds teams of top researchers * facilitates planning of a strategic road map * brings best practices to therapy development * manages the execution of the plan The CollabRx research platform connects researchers to one another and to a network of scientific services, providing unprecedented opportunities for knowledge sharing and economies of scale.

The Open Protein Structure Annotation Network (TOPSAN) is a wiki designed to collect, share and distribute information about protein three-dimensional structures, and to advance it towards knowledge about functions and roles of these proteins in their respective organisms. TOPSAN will serve as a portal for the scientific community to learn about protein structures and also to contribute their expertise in annotating protein function.

Networked Environment for Personalized, Ontology-based Management of Unified Knowledge NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.