Group items tagged

As computers and computer networks become more sophisticated, a huge amount of information, such as that found in Web documents, has been accumulated and circulated. Such information gives people a framework for organizing their daily lives. A well-functioning society needs technology that can be used to manage this wealth of information and, in particular, investigate its credibility. This technology would be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and various related opinions and the distribution of them, and so on. Especially, as the Web is becoming a major source of information nowadays, it is necessary to provide efficient and reliable methods for evaluation of Web content's trustworthiness. The aim of this workshop is to provide a forum for discussion on issues related to information credibility criteria and the process of its evaluation.

The fishnet organization is a new organizational form which, among others, emerged in scientific literature in the field of organization theory in the past 20 years. Questions to ask here include: how to develop and maintain such a dynamic and heterarchic structure, described with the metaphor of a fisher's net, in a real organization? How to find knowledge and abilities which are fundamental in constructing such a structure? It seems obvious that without an adequate information system this task would be almost impossible. Thus we present organizational and information tools which are needed for the development and maintenance of this dynamic organization.

"[...] Mazzagatti calls this new data structure the Triadic Continuum, in honor of the theories and writings of Charles Sanders Peirce, one of the least well-known scientific geniuses of the late 19th century. Peirce, who is recognized as the father of pragmatism, is also known for his work in semiotics, the study of thought signs. Using Peirce's theoretical writings on how thought signs are organized into the structure of the human brain, Mazzagatti extrapolated a computer data structure that is self organizing - in other words, a data structure that naturally organizes new data by either building on the existing data sequences or adding to the structure as new data are introduced"

I quote: "Mazzagatti continued research into how Peirce's sign theory could be adapted to create a logical structure composed of signs that could be used in computers. Using Peirce's theoretical writings on how thought signs are organized into the structure of the human brain, Mazzagatti extrapolated a computer data structure that is self organizing - in other words, a data structure that naturally organizes new data by either building on the existing data sequences or adding to the structure as new data are introduced. "

Sensemaking is the process through which humans put together understanding of related information. Sensemaking has been said to involve changes in cognitive representations during a human information processing task. Collection sensemaking involves understanding a collection of media entities, as a whole. One example of a sensemaking task is to compare the damage from Hurricane Katrina to homes, personal effects, and community buildings in different areas of New Orleans. Connected visual and semantic representations provide perspective to support users involved in collection sensemaking tasks. A zoomable map organizes images based on location at varying scales. Multiscale clusters based on zoom level organize images associated with events. The clusters afford contextualized thumbnail browsing and also maintain uniform information density on the map. Metadata enhances context and memory in the process of collection sensemaking.

understanding this content and making decisions based on it (especially in mission-critical situations) is not just a simple matter of consuming information. To effectively "make sense" of large, heterogeneous, and often unstructured content collections requires: - efficient, accurate, and context-based ways of extracting, filtering, and summarizing information; - better and more meaningful ways of organizing, visualizing, and interacting with the information; - faster, more objective methods for investigating hypotheses, detecting trends or patterns across multiple sources, and otherwise analyzing or interpreting information.

Zotero is an easy-to-use yet powerful research tool that helps you gather, organize, and analyze sources (citations, full texts, web pages, images, and other objects), and lets you share the results of your research in a variety of ways. An extension to the popular open-source web browser Firefox, Zotero includes the best parts of older reference manager software (like EndNote)-the ability to store author, title, and publication fields and to export that information as formatted references-and the best parts of modern software and web applications (like iTunes and del.icio.us), such as the ability to interact, tag, and search in advanced ways. Zotero integrates tightly with online resources; it can sense when users are viewing a book, article, or other object on the web, and-on many major research and library sites-find and automatically save the full reference information for the item in the correct fields. Since it lives in the web browser, it can effortlessly transmit information to, and receive information from, other web services and applications; since it runs on one's personal computer, it can also communicate with software running there (such as Microsoft Word). And it can be used offline as well (e.g., on a plane, in an archive without WiFi).

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.

NKOS is devoted to the discussion of the functional and data model for enabling knowledge organization systems (KOS), such as classification systems, thesauri, gazetteers, and ontologies, as networked interactive information services to support the description and retrieval of diverse information resources through the Internet.

Sensemaking involves turning circumstances into a situation that is comprehended explicitly in words and that serves as a springboard into action. In this paper we take the position that the concept of sensemaking fills important gaps in organizational theory. The seemingly transient nature of sensemaking belies its central role in the determination of human behavior, whether people are acting in formal organizations or elsewhere. Sensemaking is central because it is the primary site where meanings materialize that inform and constrain identity and action. The purpose of this paper is to take stock of the concept of sensemaking. We do so by pinpointing central features of sensemaking, some of which have been explicated but neglected, some of which have been assumed but not made explicit, some of which have changed in significance over time, and some of which have been missing all along or have gone awry. We sense joint enthusiasm to restate sensemaking in ways that make it more future oriented, more action oriented, more macro, more closely tied to organizing, meshed more boldly with identity, more visible, more behaviorally defined, less sedentary and backward looking, more infused with emotion and with issues of sensegiving and persuasion. These key enhancements provide a foundation upon which to build future studies that can strengthen the sensemaking perspective.

Once students have gathered information on a topic, it is important that they reflect on whether the information they have gathered is sufficient to answer the research question. This requires students to make sense of the information they have gathered-to synthesize the information into new knowledge. In order to address the different leaning modalities that students possess, teachers should have students use a variety of forms of representation for this sensemaking stage (see Forms of Representation matrix).

Connexions works to connect individuals and organizations working for social change with each other, with information and ideas, and with the wider community. Connexions Online features resources and organizations fostering democratization, economic justice, environmental responsibility, civil liberties, and the creation and preservation of community.

JSTOR is a not-for-profit organization dedicated to helping the scholarly community discover, use, and build upon a wide range of intellectual content in a trusted digital archive. Our overarching aims are to preserve a record of scholarship for posterity and to advance research and teaching in cost-effective ways. We operate a research platform that deploys information technology and tools to increase productivity and facilitate new forms of scholarship. We collaborate with organizations that can help us achieve our objectives and maximize the benefits for the scholarly community

There is a revolution happening on the Internet that is alive and building momentum with each passing tag. With the advent of social software and Web 2.0, we usher in a new era of Internet order. One in which the user has the power to effect their own online experience, and contribute to others'. Today, users are adding metadata and using tags to organize their own digital collections, categorize the content of others and build bottom-up classification systems. The wisdom of crowds, the hive mind, and the collective intelligence are doing what heretofore only expert catalogers, information architects and website authors have done. They are categorizing and organizing the Internet and determining the user experience, and it's working. No longer do the experts have the monopoly on this domain; in this new age users have been empowered to determine their own cataloging needs. Metadata is now in the realm of the Everyman.

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.

Global (e.g. organization-wide) patterns emerge from everyday 'local' (i.e. one-to-one or small-group) conversations. The more that people (in interaction) make sense of events and take action in particular ways, the more likely they are to make similar sense and take similar actions in the future. That is, from an informal coalitions perspective, these patterns are not formed by managerial dictat or design but by the nature of the everyday sensemaking that has gone before.

Sensemaking systems don't only help people find stuff faster. That's just the information retrieval part. The bigger story is about augmenting and amplifying our abilities to make sense. Sensemaking adds things like skimming, power reading, organizing, spotting patterns, tracing social networks, taking notes, summarizing, drilling for details, and flagging biases. Reading an article is different from reading a book, and that's different from reading from a collection or stream. Radically new forms of human-information interaction are being enabled by these new technologies. Sensemaking systems not only have front ends (visualization), but also back ends (content analytics and reasoning).

Unstructured Information Management applications are software systems that analyze large volumes of unstructured information in order to discover knowledge that is relevant to an end user. UIMA is a framework and SDK for developing such applications. An example UIM application might ingest plain text and identify entities, such as persons, places, organizations; or relations, such as works-for or located-at. UIMA enables such an application to be decomposed into components, for example "language identification" -> "language specific segmentation" -> "sentence boundary detection" -> "entity detection (person/place names etc.)". Each component must implement interfaces defined by the framework and must provide self-describing metadata via XML descriptor files. The framework manages these components and the data flow between them. Components are written in Java or C++; the data that flows between components is designed for efficient mapping between these languages. UIMA additionally provides capabilities to wrap components as network services, and can scale to very large volumes by replicating processing pipelines over a cluster of networked nodes.

SpreadingScience is devoted to increasing the rate of diffusion of innovation throughout a community. We do this in part by championing the use of online tools to increase the flow of information derived from scientific investigation. We help people and organizations understand how human social networks rapidly disperse important and useful information, helping create new 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.

The Tree of Life Web Project (ToL) is a collaborative effort of biologists and nature enthusiasts from around the world. On more than 10,000 World Wide Web pages, the project provides information about biodiversity, the characteristics of different groups of organisms, and their evolutionary history (phylogeny). Each page contains information about a particular group, e.g., salamanders, segmented worms, phlox flowers, tyrannosaurs, euglenids, Heliconius butterflies, club fungi, or the vampire squid. ToL pages are linked one to another hierarchically, in the form of the evolutionary tree of life. Starting with the root of all Life on Earth and moving out along diverging branches to individual species, the structure of the ToL project thus illustrates the genetic connections between all living things.