Group items tagged

# 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. # 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.

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.

"The value of any individual piece of knowledge is about the value of any individual piece of lego," Wilbanks said in a keynote address to the Open Access and Research Conference held in Brisbane last week. "It's not that much until you put it together with other legos." He says the ability to connect knowledge brings scientific revolutions. For example Watson and Crick's breakthrough on the structure of DNA involved them reading all the scientific papers on nucleotide bonding and encoding it in the form of a physical model, says Wilbanks. But this kind of "human scale" analysis is no longer feasible in an age when automated laboratory processes generate vast amounts of information faster than the human mind can process it. "For example, we have 45,000 papers about one protein or one gene," says Wilbanks. He says a scientist might once have analysed the impact of one drug on one gene, but now pipetting robots are capable of analysing 25,000 genes at a time. "Most of the research says the smartest of us can handle five or six independent variables at once - not 25,000," he says

From the start of the 21st century, a new form of employment has emerged in developing countries. It employs hundreds of thousands of people and earns hundreds of millions of dollars annually. Yet it has been almost invisible to both the academic and development communities. It is the phenomenon of "gold farming": the production of virtual goods and services for players of online games. China is the employment epicentre but the sub-sector has spread to other Asian nations and will spread further as online games-playing grows. It is the first example of a likely future development trend in online employment. It is also one of a few emerging examples in developing countries of "liminal ICT work"; jobs associated with digital technologies that are around or just below the threshold of what is deemed socially-acceptable and/or formally-legal.

A user can start a Web crawl through 80legs's Web-based interface. The form on the company's site lets them set parameters for the project and upload custom code needed to control how the crawler does its job. For example, a user might want the crawler to find images and check them against a database of copyrighted ones. Deysarkar says his company's crawlers are capable of processing up to two billion pages a day. The company charges $2 for every million pages crawled, plus a fee of three cents per hour of processing used.

A user can start a Web crawl through 80legs's Web-based interface. The form on the company's site lets them set parameters for the project and upload custom code needed to control how the crawler does its job. For example, a user might want the crawler to find images and check them against a database of copyrighted ones. Deysarkar says his company's crawlers are capable of processing up to two billion pages a day. The company charges $2 for every million pages crawled, plus a fee of three cents per hour of processing used.

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.

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.

To begin using SemantiFind, you must go to www.google.com - the service won't work from iGoogle or your Google search box in your browser. After you enter your search term in the box as usual, you then are prompted to indicate the precise meaning of your term before starting your query. This is done through the use of a drop-down box where specific terms and their definitions display. For example, if you were searching for "Georgia," you would be presented with the option to select either the U.S. state or the former soviet republic.

In the process of knowledge discovery, workers examine available information in order to make sense of it. By sensemaking, we mean interacting with and operating on the information with a variety of information processing mechanisms [3,18]. Previously, we introduced a concept that uses the spreadsheet metaphor with cells containing visualizations of complex data. In this paper, we extend and apply a cognitive model called "visual sensemaking " to the Visualization Spreadsheet. We use the task of making sense of a large Web site as a concrete example through out the paper for demonstration. Using a variety of visualization techniques, such as the Disk Tree and Cone Tree, we show that the interactions of the Visualization Spreadsheet help users draw conclusions from the overall relationships of the entire information set.

With the AJAX Language API, you can translate and detect the language of blocks of text within a webpage using only Javascript. In addition, you can enable transliteration on any textfield or textarea in your web page. For example, if you were transliterating to Hindi, this API will allow users to phonetically spell out Hindi words using English and have them appear in the Hindi script.

This essay discusses the notion of sensemaking, including definitions and possible applications for intelligent decision support systems. The perspectives on the notion of sensemaking are those of psychology, human-centered computing, and naturalistic decision making. The essay discusses a number of myths about sensemaking (for example, that sensemaking is merely "connecting the dots"), showing how empirical evidence about expert decision making refutes the myths.

The Collaboration Project is an independent forum of leaders committed to leveraging the interactive web and the benefits of collaborative technology to solve government's complex problems. Powered by the National Academy of Public Administration, this "wikified" space is designed to share ideas, examples and insights on the adoption of Web 2.0 technologies in the field of public governance.

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.

Rich countries acknowledge their historic role in pushing up global temperatures but they say that emerging giants like China and India must also step up to the plate and take quantifiable action. Developing and poorer nations hit back with the argument that the industrialised world should lead by example, and foot the bill for clean-energy technology and coping with global warming's inevitable impacts.

In this century a number of events could extinguish humanity. The probability of these events may be very low, but the expected value of preventing them could be high, as it represents the value of all future human lives. We review the challenges to studying human extinction risks and, by way of example, estimate the cost effectiveness of preventing extinction-level asteroid impacts.

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.

An unbook is more like software: 1. An unbook is never finished, but rather continually updated, based on feedback from users andtheir evolving needs. 2. An unbook is released in versions. As in open source software, version 1.0 of an unbook is a significant milestone, indicating that it is stable and reliable enough for use by the general public. The significance of a new release is indicated by the size of the gap: For example, the difference between 1.1 and 1.1.3 is minor, while the difference between 1.1 and 2.0 is major. 3. An unbook is supported by a community of users who share their experiences and best practices with each other, and help each other troubleshoot problems encountered in their practice areas. An unbook's community is a very real part of the unbook's development team. An unbook is mindware: software for the mind.

OPS4J stands for Open Participation Software for Java, and this community is trying to build a new, more open model for Open Source development, where not only the usage is Open and Free, but the Participation is Open as well. Removal of barriers, let more people in, have more fun and less politics. I have also seen Open Development as a term to describe this. Think of it as Wiki brought to Coding. Wikipedia is of course the most outstanding example of open collaboration.

Taste is a flexible, fast collaborative filtering engine for Java. The engine takes users' preferences for items ("tastes") and returns estimated preferences for other items. For example, a site that sells books or CDs could easily use Taste to figure out, from past purchase data, which CDs a customer might be interested in listening to.

'"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'

A sixty-six page think piece