Group items tagged

Our "pattern language" is a holistic collection of "patterns" that can be used together to address an information or communication problem. Each "pattern" in this pattern language, when complete, will represent an important insight that will help contribute to a communication revolution.

This paper presents two design patterns for the hypermedia domain: `Navigational Contexts' and `Information on Demand'. They are applied in two different aspects of hypermedia applications design: the design of healthy navigational structures and the design of understandable and usable hypermedia interfaces, respectively. These two patterns are part of an effort for developing a Pattern Language for that domain.

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.

A collection of design patterns for interactive infographics.

In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds.

A fantastic read to wake up your brain and help it see the trappings of false illusions and patterns around you. 

Researchers in the School of Computer Science at the University's Malaysia Campus are exploring 'granular computing' - a computer paradigm that looks at groups or sets of information, called information granules, rather than the high level of detail at which data is currently processed. By looking at data in this way, new patterns and relationships emerge - which could potentially give us access to new types of computer modelling in a range of fields, including process control and optimisation, resource scheduling and bioinformatics.

The OntologyDesignPatterns.org is a semantic web portal dedicated to ontology design patterns (OPs) for the Semantic Web developed in the context of the Neon project (http://www.neon-project.org).

Sensemaking is a process designed to enable groups of people to see patterns that were once hidden to them and develop a common understanding of what is required to address an issue. While the sensemaking (and subsequent intervention design) process will result in the production of artefacts (reports, lists of action items, descriptions of the current situation etc) much of the value is derived through participation in the process. It is not a process where you say 'make sense of this and tell me the answer'. Much of the benefit comes from determining 'what it means' for yourself. Sensemaking is beneficial at an individual level as our values and assumptions are tested and either confirmed or found wanting.

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.

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).

Apache ActiveMQ is the most popular and powerful open source Message Broker and Enterprise Integration Patterns provider.

VIVACE stands for Vortex Induced Vibrations for Aquatic Clean Energy. It doesn't depend on waves, tides, turbines or dams. It's a unique hydrokinetic energy system that relies on "vortex induced vibrations." Vortex induced vibrations are undulations that a rounded or cylinder-shaped object makes in a flow of fluid, which can be air or water. The presence of the object puts kinks in the current's speed as it skims by. This causes eddies, or vortices, to form in a pattern on opposite sides of the object. The vortices push and pull the object up and down or left and right, perpendicular to the current.

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.

To manage information quality (IQ) effectively, one needs to know how IQ changes over time, what causes it to change, and whether the changes can be predicted. In this paper we analyze the structure of IQ change in Wikipedia, an open, collaborative general encyclopedia. We found several patterns in Wikipedia's IQ process trajectories and linked them to article types. Drawing on the results of our analysis, we develop a general model of IQ change that can be used for reasoning about IQ dynamics in many different settings, including traditional databases and information repositories.

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.

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.

"The debate within the Web community over the optimal means by which to organize information often pits formalized classications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including whether coherent categorization schemes can emerge from unsupervised tagging by users. This paper uses data from the social bookmarking site del.icio.us to examine the dynamics of collaborative tagging systems. In particular, we examine whether the distribution of the frequency of use of tags for “popular” sites with a long history (many tags and many users) can be described by a power law distribution, often characteristic of what are considered complex systems. We produce a generative model of collaborative tagging in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise. We empirically examine the tagging history of sites in order to determine how this distribution arises over time and to determine the patterns prior to a stable distribution. Lastly, by focusing on the high-frequency tags of a site where the distribution of tags is a stabilized power law, we show how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags."

The paper shows that the tags users choose are not chaotic, but rather quickly converge to a common descriptive set of tags that is almost unchanging over time. Perhaps once the tags have stabilized, coherent URI-based identification schemes could emerge?

Nice paper, thanks. Categories / tags / subjects / topics / issues ... that's what I'm working with right now. p.s. sure would be nice if the email notification included the source URL. I'm far more likely to download the PDF when I see something like www2007.org/paper635.pdf

The scholarly literature forms a vast network of academic papers connected to one another by citations in bibliographies and footnotes [1]. The structure of this network reflects millions of decisions by individual scholars about which papers are important and relevant to their own work. Therefore within the structure of this network is a wealth of information about the relative influence of individual journals, and also about the patterns of relations among academic disciplines. Our aim at eigenfactor.org is develop ways of extracting this information.

Media Cloud is a project that tracks news content comprehensively - providing open, free, and flexible tools. This will allow unprecedented quantitative analysis of media trends. For instance, some of our driving questions are: 1. Do bloggers introduce storylines into mainstream media or the other way around? 2. What parts of the world are being covered or ignored by different media sources? 3. Where do stories begin? 4. How are competing terms for the same event used in different publications? 5. Can we characterize the overall mix of coverage for a given source? 6. How do patterns differ between local and national news coverage? 7. Can we track news cycles for specific issues? 8. Do online comments shape the news?