Group items tagged

Business Process Execution Language (BPEL), short for Web Services Business Process Execution Language (WS-BPEL) is an executable language for specifying interactions with Web Services.[1] Processes in Business Process Execution Language export and import information by using Web Service interfaces exclusively.

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.

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.

Zemanta is a service that's focused on helping the blogger/content creator make the process of creating their content simpler and easier. As you write, Zemanta processes all of your text (like a spell checker in a word processing program does) and suggests things to you. Currently, Zemanta suggests stories/posts/research you might want to read as you compose your post, images you might want to include in the post, words you might want to hyperlink out with, and tags for search engines and other services to use to discover your content.

Apache ODE (Orchestration Director Engine) executes business processes written following the WS-BPEL standard. It talks to web services, sending and receiving messages, handling data manipulation and error recovery as described by your process definition. It supports both long and short living process executions to orchestrate all the services that are part of your application.

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.

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.

Soil organic matter is what makes dirt fertile and able to support plant life - both of which are especially important for agriculture. Organic matter retains water in the soil and prevents erosion. Natural processes of decomposition of soil organic matter provide plants and microbes with the energy source and water they need to grow, and carbon is released into the atmosphere as a by-product of this process. Warming temperatures are expected to speed up this process which will increase the amount of CO2 that is transferred to the atmosphere.

Tagging is a process that associates keywords with specific content. We did a rough analysis in our paper (reference below), and computed how often a keyword used by a user to tag an URL appears in the page content. We found that, on average, the chance that a tag comes from the content is 49%. This process produced a conservative estimate of tag occurrence in content, since we did not account for situations such as content changes for a given URL (e.g., dynamic content), typos (e.g., "Ajaz" instead of "Ajax"), abbreviations (e.g., "ad" instead of "advertisement"), compound tags (e.g., "SearchEngine"), and tags written in languages other than that of the content.

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.

This ethnographic study investigates how a project group deals with the contradiction between distributed knowledge in boundary-spanning collaborative processes and the expectation that software systems will provide unified, codified knowledge. Group and individual activities were observed over a period of 18 months, to examine the ways knowledge was presented, recognized, shared, or otherwise managed during joint design of business process and IT systems change. The study explores how knowledge and expertise were translated across organizational boundaries, and identifies four stages in the development of group understanding of how to manage sensemaking and expertise across knowledge boundaries: focus on defining shared goals; acknowledging and sharing tacit knowledge about organizational practice; identifying external influences; and explicit knowledge generation.

KML is a file format used to display geographic data in an earth browser, such as Google Earth, Google Maps, and Google Maps for mobile. A KML file is processed in much the same way that HTML (and XML) files are processed by web browsers. Like HTML, KML has a tag-based structure with names and attributes used for specific display purposes. Thus, Google Earth and Maps act as browsers for KML files.

"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

Quick, incremental updates, along with heavy user involvement, are key characteristics of an emerging software development paradigm championed by a new generation of Web 2.0 start-ups. The new process, which some champions call "application development 2.0," contrasts markedly with the traditional corporate waterfall process that separates projects into several distinct phases, ranging from requirements to maintenance. Nonetheless, application development 2.0 can bring significant benefits to corporate IT shops if managers and developers are willing to change.

Melita is an ontology-based text annotation tool. It implements a methodology with the intent to manage the whole annotation process for the users. It was noticed that several steps in the process, which till now are done manually can be easily automated and handled all by the system. The main competencies of Melita can be summarised into four groups, i.e. the Managing task, the Extraction, the Learning and the Information Tagging Autonomously. This is performed thanks to the use of a smart interface together with a powerfull Information extraction algorithm. Melita has now been replaced by AKTive Media , please click here to download AKTive Media, Melita is no longer used or available for download

Webology is an international peer-reviewed journal in English devoted to the field of the World Wide Web and serves as a forum for discussion and experimentation. It serves as a forum for new research in information dissemination and communication processes in general, and in the context of the World Wide Web in particular. Concerns include the production, gathering, recording, processing, storing, representing, sharing, transmitting, retrieving, distribution, and dissemination of information, as well as its social and cultural impacts. There is a strong emphasis on the Web and new information technologies. Special topic issues are also often seen.

As a conversational process, the World Café is an innovative yet simple methodology for hosting conversations about questions that matter. These conversations link and build on each other as people move between groups, cross-pollinate ideas, and discover new insights into the questions or issues that are most important in their life, work, or community. As a process, the World Café can evoke and make visible the collective intelligence of any group, thus increasing people's capacity for effective action in pursuit of common aims.

RDFa ("Resource Description Framework in attributes") is having its five minutes of fame: Google is beginning to process RDFa and Microformats as it indexes websites, using the parsed data to enhance the display of search results with "rich snippets." Yahoo!, meanwhile, has been processing RDFa for about a year. With these two giants of search on the same trajectory, a new kind of web is closer than ever before.

Crosswalks are documents that map metadata elements between different metadata standards. The crosswalk may be presented as a document for humans to read, in which case the crosswalking process must be performed by humans who are referencing the document. Alternatively, a crosswalk document may be expressed in such a way that a computer can automatically perform a mapping from one metadata standard to another.

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.