On January 07, 2009, OASIS announced the submission of a draft charter for a new OASIS Technical Committee to define an integrated collaboration object model supporting a complete range of enterprise collaboration activities. The proposed data model is based upon the Oracle Beehive Object Model (BOM), to be contributed by Oracle to the ICOM TC. The new standard model, interface, and protocol would support contextual collaboration within business processes for an integrated collaboration environment which includes communication artifacts (e.g., email, instant message, telephony, RSS), teamwork artifacts (such as project and meeting workspaces, discussion forums, real-time conferences, presence, activities, subscriptions, wikis, and blogs), content artifacts (e.g., text and multi-media contents, contextual connections, taxonomies, folksonomies, tags, recommendations, social bookmarking, saved searches), and coordination artifacts (such as address books, calendars, tasks) etc.
# The primary intention of creating aTags is not the categorization of the document, but the representation of the key facts inside the document. Key facts in the biomedical domain might be, for example, "Protein A interacts with protein B" or "Overexpression of protein A in tissue B is the cause of disease C".
# An aTag is comprised of a set of associated entities. The size of the set is arbitrary, but will typically lie between 2 and 5 entities. For example, the fact "Protein A binds to protein B" can be represented with an aTag comprising of the three entities "Protein A", "Molecular interaction" and "Protein B". Similarly, the fact "Overexpression of protein A in tissue B is the cause of disease C" can be represented with an aTag comprising of the four entities "Overexpression", "Protein A", "Tissue B" and "Disease C".
# Each document or database entry can be described with an arbitrary number of such aTags. Each aTag can be associated with the relevant portions of text or data in a fine granularity.
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The entities in an aTag are not simple strings, but resources that are part of ontologies and RDF/OWL-enabled databases. For example, "Protein A" and "Protein B" are resources that are defined in the UniProt database, whereas "Molecular Interaction" is a class in the branch of biological processes of the Gene Ontology. They are identified with their URIs.
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.
This article explores relationships between players and the owners of the massively multiplayer online games (MMOG) they inhabit. Much of the language around these large scale communities currently focuses on "management." Viewing these complex social systems as essentially mechanical in nature has led to a preoccupation with creating or retrofitting systems which can be constantly monitored, tuned, regulated, and controlled. Though the language often turns to things like "cheating," "griefing," and "disruption of the magic circle," the underlying anxiety about unruliness, transgressiveness, and the emergent nature of these spaces as sites of culture needs to be more fully addressed, as well as the early formulations of the "imagined player" that shape the design process. Players are central productive agents in game culture and more progressive models are needed for understanding and integrating their work in these spaces. Drawing on the long tradition of participatory design this piece explores some alternative frameworks for understanding the designer/player relationship are proposed.
BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It includes objects for manipulating biological sequences, file parsers, DAS client and server support, access to BioSQL and Ensembl databases, tools for making sequence analysis GUIs and powerful analysis and statistical routines including a dynamic programming toolkit.
Assuming that meaning is dependent upon the interplay between lived experience and theoretical (cultural and social) constructs, the task of this chapter in analyzing the sensemaking processes and activities which occurred during the field trip is to integrate lived experiences with theoretical constructs in such a way that the meanings generated from this integration resonate as valid for both field trip participants and informed readers. Or to paraphrase Ken Wilber,1 through the integration of subjective truthfulness and objective truth we seek mutual understanding. To achieve this end, my analysis incorporates the three strands of valid knowing (instrumental injunction, direct experience, and communal confirmation), as outlined in chapter two, and the three cultural value spheres (subjective, intersubjective, and objective domains of knowing), also outlined in chapter two, with three sensemaking themes (being there, storytelling, and living together) which emerged directly from the lived experiences of the participants during the course of the field trip.
The EU IST integrated project Semantic Knowledge Technologies (SEKT) developed and exploited semantic knowledge technologies. Core to the SEKT project has been the creation of synergies by combining the three core research areas ontology management, machine learning and natural language processing.
Tagging refers to the process by which users assign terms meaningful to them to a resource in the online environment. The rise of social bookmarking Web sites have skyrocketed tagging systems into the mainstream.
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.
Integrate. Relate. Infer. Share.
IRIS is a semantic desktop application framework that enables users to create a "personal map" across their office-related information objects. IRIS includes a machine-learning platform to help automate this process. It provides "dashboard" views, contextual navigation, and relationship-based structure across an extensible suite of office applications, including a calendar, web and file browser, e-mail client, and instant messaging client.
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.
GATE is...
* the Eclipse of Natural Language Engineering, the Lucene of Information Extraction, a leading toolkit for Text Mining
* used worldwide by thousands of scientists, companies, teachers and students
* comprised of an architecture, a free open source framework (or SDK) and graphical development environment
* used for all sorts of language processing tasks, including Information Extraction in many languages
* funded by the EPSRC, BBSRC, AHRC, the EU and commercial users
* 100% Java reference implementation of ISO TC37/SC4 and used with XCES in the ANC
* 10 years old in 2005, used in many research projects and compatible with IBM's UIMA
* based on MVC, mobile code, continuous integration, and test-driven development, with code hosted on SourceForge
'"A Science of Non-Classical Dynamics Based on the Progressive Evolution of the Larger Whole" In this paper, I am trying to lay out a new form of computation, which focuses on the harmony reached in a system. This type of computation in some way resembles certain recent results in chaos theory and complexity theory. However, the orientation of harmony-seeking computation is toward a kind of computation which finds harmonious configurations, and so helps to create things, above all, in real world situations: buildings, towns, agriculture, and ecology. I try to show that this way of thinking about computation is closer to intuition and personal feeling than the processes we typically describe as "computations." It is also more useful, potentially, in a great variety of tasks we face in building and taking care of the surface of the Earth, and quite different in character since it is value-oriented, not value-free. Examples are taken from art, architecture, biology, physics, astrophysics, drawing, crystallography, meteorology, dynamics of living systems, and ecology'
Our goal in creating this site is to provide the basis for a thriving community of UIMA developers who can announce, discuss, design, share, and critique UIMA-compliant components, resources and solutions.
The Unstructured Information Management Architecture (UIMA) is a software framework that supports rapid development and deployment of multimodal analytics - applications which provide value by processing human-readable text, audio and/or video in order to extract information, answer questions, summarize documents, etc.
Database systems are notorious for being hard to use. It is even more difficult to integrate data from multiple sources and collaborate on large data sets with people outside your organization. Without an easy way to offer all the collaborators access to the same server, data sets get copied, emailed and ftp'd--resulting in multiple versions that get out of sync very quickly.
Today we're introducing Google Fusion Tables on Labs, an experimental system for data management in the cloud. It draws on the expertise of folks within Google Research who have been studying collaboration, data integration, and user requirements from a variety of domains. Fusion Tables is not a traditional database system focusing on complicated SQL queries and transaction processing. Instead, the focus is on fusing data management and collaboration: merging multiple data sources, discussion of the data, querying, visualization, and Web publishing. We plan to iteratively add new features to the systems as we get feedback from users.
KenYersel is a community organisation which promotes informed and high quality discussions of critical issues.
We combine argument visualisation and web-based technology with established participatory discussion techniques. These are used to facilitate discussions, providing a rich understanding as the basis for rational and accountable decision making. Central to the effectiveness of this process is the building of community. Our unique methodology comes from many years experience working with a wide variety of community groups, businesses and universities. The results have considerable authority as they come from the concerted effort of real critical thinking by large number of people.
Media Cloud is a system that lets you see the flow of the media. The Internet is fundamentally altering the way that news is produced and distributed, but there are few comprehensive approaches to understanding the nature of these changes. Media Cloud automatically builds an archive of news stories and blog posts from the web, applies language processing, and gives you ways to analyze and visualize the data.
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.
Consilience, or the unity of knowledge (literally a "jumping together" of knowledge), has its roots in the ancient Greek concept of an intrinsic orderliness that governs our cosmos, inherently comprehensible by logical process, a vision at odds with mystical views in many cultures that surrounded the Hellenes. The rational view was recovered during the high Middle Ages, separated from theology during the Renaissance and found its apogee in the Age of Enlightenment. Then, with the rise of the modern sciences, the sense of unity gradually was lost in the increasing fragmentation and specialization of knowledge in the last two centuries. The converse of consilience in this way is Reductionism.
The Journal of Community Informatics provides an opportunity for Community Informatics researchers and others to share their work with the larger community. Through the application of a rigorous process of peer review knowledge and awareness concerning the community use of Information and Communications Technology is, in this way, being brought to a wider professional audience.