Group items tagged

Individual-intelligence research, from a neurological perspective, describes the cortex as a medium for performing conceptual abstraction and specification. This idea has been used to explain how motor-cortex regions responsible for different behavioral modalities such as writing and speaking can express the same general concept represented in the cortex. For example, the concept of a dog, abstractly represented in the higher-layers of the cortex, can either be written or spoken about depending on the context. Abstract models in the higher-layers propagate activation patterns down the cortical hierarchy to the desired region of the motor-cortex for worldly implementation. In this paper, the individual-intelligence framework is expanded to incorporate collective-intelligence within a hyper-cortical construct. This hyper-cortex is a multi-layered network used to represent abstract collective concepts. This collective-intelligence framework plays an important role in understanding how collective-intelligence systems can be engineered to handle collective problem-solving. To conclude the paper, five common problems in the scientific community are solved using an artificial hyper-cortex generated from digital-library metadata.

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.

This article is a guide for collection developers at the point of considering a metadata schema for their digital collection. The nine questions asked in this article will assist a developer in clarifying how he wants the collection to be organized, described, and used. This article uses examples to illustrate how these questions guided the development of a digital collection built at the University of Southern California.

iLeonardo is an impressive site for those interested in research. It's a social utility that connects people and their notebooks which are collections of information from the Web. iLeonardo combines search methodologies, social bookmarks and social networks to produce relevant search results and ranking determined by people - not bots or publishers.The name of the service is obviously an homage to the legendary renaissance man, Leonardo Da Vinci, who was famous for his notebook collection of research information, thoughts and ideas. ILeonardo and its notebook collection technology strives to help the Leonardo's of the digital age. see: http://mashable.com/2008/09/01/research-tools/

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.

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.

Computational Collective Intelligence (CCI) is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions or processing knowledge among autonomous units acting in distributed environments. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The aim of this conference is to provide an internationally respected forum for scientific research in the computer-based methods of collective intelligence and their applications in (but not limited to) such fields as semantic web, social networks and multi-agent systems.

tagCare lets you to maintain all your tags jointly in one place, which is especially useful if you normally use several of these different platforms. Many users apply a variety of different tags within different platforms - and finally get lost among them. For example, it is hard to keep track of consistent spelling variants (e.g. not using "science_fiction" in one case and "scienceFiction" in the other) or of preferred terms (e.g. not using "bike" in one case and "bicycle" in the other). Some documents may be tagged with the general term "dog", others more specifically with "greyhound" or "border_collie". tagCare will help you to apply some structure to your tagging vocabulary so that you will more easily navigate through vocabulary choices and use tags more consistently. In tagCare, a user can assemble all tags which he has used within different systems and may then create his own vocabulary hierarchy, synonym collections and cross-references to related terms to establish some lightweight form of controlled vocabulary. This process is also called "tag gardening". Edited and structured tags will then be used to browse document collections in other platforms and to directly tag documents out of tagCare. tagCare is still under development, a first demo version will be available soon and more features will then be added step by step. tagCare will first support Flickr, Bibsonomy and del.icio.us.

The goal of this twine is to gather relevant information and people around the project of establishing a new adressing layer in cyberspace : semantic space. Semantic space is designed to augment : - semantic interoperability - distributed social semantic computing - exchange of personal and collective interpretation of vast amouts of data - collective intelligence reflexivity

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?)

The primary success criteria for the next two days will be the publication of new vocabularies on the Web that increase the availability of Linked Data. That's the main goal, but there are many others. I am confident that this first VoCamp will be an opportunity to share issues, expertise, modeling techniques and design patterns. In doing so we will all become smarter. There is an opportunity to scope requirements in the wider Semantic Web field that impact upon the availability and reuse of vocabularies. Collectively we can identify missing pieces of the technical infrastructure required by the Web of Data, and begin to build a social infrastructure that helps us collectively ease the vocabulary bottleneck.

This website has been created to help make visible an emerging field of collective wisdom, its study and practice. It came into being in 2002 with support of the Fetzer Institute and has evolved to the form you see today by the support and contributions of hundreds of people and organizations who have, for decades, been actively engaged in this field.

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.

Collective Intelligence is a global group of entrepreneurs dedicated to improving the efficiency of social ecosystems and accelerating the flow of capital to good.

This website has been created to help make visible an emerging field of collective wisdom, its study and practice. It

NutchWAX ("Nutch + Web Archive eXtensions" ) searches web archive collections. The Web Archive eXtensions (WAX) include adaptation of the Nutch fetcher step to go against web archives rather than crawl the open net -- adaptation currently does Internet Archive ARC files only -- and plugins to add extra fields to the index that return an Archive Records' location in the repository, its collection name, etc.

The OKKAM project aims at enabling the Web of Entities, namely a virtual space where any collection of data and information about any type of entities (e.g. people, locations, organizations, events, products, ...) published on the Web can be integrated into a single virtual, decentralized, open knowledge base

ESSENCE: E-Science/Sensemaking/Climate Change is an immersive internet experiment, culminating in a face-face conference. We want to build a collective intelligence resource on the climate change debate. This is analogous to Wikipedia, but decidely not enforcing a "neutral point of view". We are going to put through their paces tools tuned for mapping the key issues, options, arguments and evidence on the different dillemmas - and reflect on how effective the current tools are.

This blog is a place for readers to discuss the beta version of our new book, "Evolving Collective Intelligence" by Douglas C. Engelbart, Valerie Landau, and Eileen Clegg. After reading the beta version, Do you have a quote to contribute? Clarifications on the content? An idea for another essay? Feedback will be input for our improved first edition, in keeping with Doug's philosophy of continuous improvement and collaboration. Please go to the "about" page.

people don't necessarily want to solve puzzles on their own. They often enjoy attacking them in online collaborative groups that include dozens, sometimes millions, of fans. These groups are collectively far smarter than their individual members, and regular puzzles don't stand a chance against that many brains.