Emerging terms: 'buzz' tags with highest recency score (RS) over last 52 weeks
This page provides an overview of 303 keyword tags in Ariadne, ordered by recency score.
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| Term | Description | Recency score (RS) | Charts |
|---|---|---|---|
bs8878 |
Web accessibility refers to the inclusive practice of making websites usable by people of all abilities and disabilities. When sites are correctly designed, developed and edited, all users can have equal access to information and functionality. For example, when a site is coded with semantically meaningful HTML, with textual equivalents provided for images and with links named meaningfully, this helps blind users using text-to-speech software and/or text-to-Braille hardware. When text and images are large and/or enlargable, it is easier for users with poor sight to read and understand the content. When links are underlined (or otherwise differentiated) as well as coloured, this ensures that color blind users will be able to notice them. When clickable links and areas are large, this helps users who cannot control a mouse with precision. When pages are coded so that users can navigate by means of the keyboard alone, or a single switch access device alone, this helps users who cannot use a mouse or even a standard keyboard. When videos are closed captioned or a sign language version is available, deaf and hard of hearing users can understand the video. When flashing effects are avoided or made optional, users prone to seizures caused by these effects are not put at risk. And when content is written in plain language and illustrated with instructional diagrams and animations, users with dyslexia and learning difficulties are better able to understand the content. When sites are correctly built and maintained, all of these users can be accommodated while not impacting on the usability of the site for non-disabled users. (Excerpt from Wikipedia article: BS 8878) |
100 | |
counting online usage of networked electronic resources |
100 | ||
educational data mining |
Educational Data Mining (EDM) describes a research field concerned with the application of data mining to information generated from educational settings (e.g., universities and intelligent tutoring systems). At a high level, the field seeks to develop methods for exploring this data, which often has multiple levels of meaningful hierarchy, in order to discover new insights about how people learn in the context of such settings. A key area of EDM is mining computer logs of student performance. Another key area is mining enrollment data. Key uses of EDM include predicting student performance, and studying learning in order to recommend improvements to current educational practice. EDM can be considered one of the learning sciences, as well as an area of data mining. A related field is learning analytics. (Excerpt from Wikipedia article: Educational Data Mining) |
100 | |
freemium |
Freemium is a business model by which a proprietary product or service (typically a digital offering such as software, media, games or web services) is provided free of charge, but money (premium) is charged for advanced features, functionality, or virtual goods. The word "freemium" is a portmanteau neologism combining the two aspects of the business model: "free" and "premium". (Excerpt from Wikipedia article: Freemium) |
100 | |
google refine |
Google Refine is a standalone desktop application provided by Google for data cleanup and transformation to other formats. It has now been renamed to OpenRefine and is hosted as an opensource project on Github. It is similar to spreadsheet applications (and can work with spreadsheet file formats), however acts more like database. It operates on rows of data which have cells under columns, which is very similar to relational database tables. One Refine project is one table. User can filter rows to display using facets that define filtering criteria (for example, showing rows where given column is not empty). Unlike spreadsheets, most operations in Refine are done on all visible rows: transformation of all cells in all rows under one column, creation of new column based on existing column data, etc. All actions that were done on dataset are stored in project and can be replayed on another dataset. Unlike spreadsheets, no formulas are stored in cells, but formulas are used to transform data, and transformation is done only once. Transformation expressions are written in proprietary GREL language. Also Jython can be used to write expressions. The program has a web user interface, however it is not hosted by the software developer (SAAS), but is available for download and use on local machine. When starting Refine, it starts a web server and starts browser to open web UI powered by this webserver. (Excerpt from Wikipedia article: Google Refine) |
100 | |
haptics |
100 | ||
jquery |
jQuery is a cross-browser JavaScript library designed to simplify the client-side scripting of HTML. It was released in January 2006 at BarCamp NYC by John Resig. Used by over 43% of the 10,000 most visited websites, jQuery is the most popular JavaScript library in use today. jQuery is free, open source software, dual-licensed under the MIT License and the GNU General Public License, Version 2. jQuery's syntax is designed to make it easier to navigate a document, select DOM elements, create animations, handle events, and develop Ajax applications. jQuery also provides capabilities for developers to create plugins on top of the JavaScript library. (Excerpt from Wikipedia article: jQuery) |
100 | |
kis |
Key Information Sets (KIS) are comparable sets of information about full or part time undergraduate courses and are designed to meet the information needs of prospective students. From September 2012 all KIS information will be published on the Unistats web-site and will also be accessed via a small advert, or 'widget', on the course web pages of universities and colleges.‌The development of Key Information Sets (KIS) forms part of HEFCE work to enhance the information that is available about higher education. It will give prospective students access to robust, reliable and comparable information in order to help them make informed decisions about what and where to study. KIS will contain information which prospective students have identified as useful, such as student satisfaction, graduate outcomes, learning and teaching activities, assessment methods, tuition fees and student finance, accommodation and professional accreditation. (Excerpt from this source) |
100 | |
learning analytics |
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. A related field is educational data mining. Differentiating the fields of educational data mining (EDM) and learning analytics (LA) has been a concern of several researchers. George Siemens takes the position that educational data mining encompasses both learning analytics and academic analytics, the former of which is aimed at governments, funding agencies, and administrators instead of learners and faculty. Baepler and Murdoch, define academic analytics as an area that "...combines select institutional data, statistical analysis, and predictive modeling to create intelligence upon which learners, instructors, or administrators can change academic behavior". They go on to attempt to disambiguate educational data mining from academic analytics based on whether the process is hypothesis driven or not, though Brooks questions whether this distinction exists in the literature. Brooks instead proposes that the a better distinction between the EDM and LA communities is in the roots of where each community originated, with authorship at the EDM community being dominated by researchers coming from intelligent tutoring paradigms, and learning anaytics researchers being more focused on enterprise learning systems (e.g. learning content management systems). Regardless of the differences between the LA and EDM communities, the two areas have significant overlap both in the objectives of investigators as well as in the methods and techniques that are used in the investigation. (Excerpt from Wikipedia article: Learning analytics) |
100 | |
microsoft reporting services |
Microsoft Reporting Services is a fully featured business intelligence (BI) platform that integrates seamlessly with existing MS applications such as MS Office and MS Sharepoint. Microsoft Reporting Services aims to: optimise business workflows; aggregate large amounts of Business Data sets into useful sections; return real-time data; highlight opportunities. (Excerpt from this source) |
100 | |
mooc |
A massive open online course (MOOC) is an online course aimed at large-scale interactive participation and open access via the web. In addition to traditional course materials such as videos, readings, and problem sets, MOOCs provide interactive user forums that help build a community for the students, professors, and teaching assistants (TAs). MOOCs are a recent development in distance education. Features associated with early MOOCs, such as open licensing of content, open structure and learning goals, and connectivism may not be present in all MOOC projects, in particular with the 'openness' of many MOOCs being called into question. (Excerpt from Wikipedia article: MOOC) |
100 | |
native apps |
A native application (native app) is an application program that has been developed for use on a particular platform or device. Because native apps are written for a specific platform, they can interact with and take advantage of operating system features and other software that is typically installed on that platform. Because a native app is built for a particular device and its operating system, it has the ability to use device-specific hardware and software, meaning that native apps can take advantage of the latest technology available on mobile devices such as a global positioning system (GPS) and camera. This can be construed as an advantage for native apps over Web apps or mobile cloud apps. (Excerpt from this source) |
100 | |
nosql |
NoSQL (read sometimes as noseequel) is a relational database management system that is fast and portable. It is a shell-level tool. NoSQL runs under the UNIX operating system. In contrast to the NoSQL concept, which proposes distributed data stores that cannot use SQL at all, NoSQL intentionally avoids the usage of this language. NoSQL uses the operator-stream paradigm, where a number of "operators" perform a unique function on the passed data. The stream used is supplied by the UNIX input/output redirection system so that over the pipe system, the result of the calculation can be passed to other operators. As UNIX pipes run in memory, it is a very efficient way of implementation. NoSQL is written mostly in interpretive languages that makes it not the fastest RDBMS. (Excerpt from Wikipedia article: NoSQL) |
100 | |
raptor |
The Retrieval, Analysis, and Presentation Toolkit for usage of Online Resources (RAPTOR) project was designed to build a free-to-use, open source software toolkit for reporting e-resource usage statistics (from Shibboleth IdPs and EZProxy) in a user-friendly manner suitable for non-technical staff. Given the current economic climate and likelihood of tightening funding, understanding the usage of e-resources is becoming increasingly important as it allows an institution to understand which resources they need to keep subscribing to, and those which they may wish to unsubscribe from (potentially resulting in cost savings). (Excerpt from this source) |
100 | |
sqlite |
SQLite is an ACID-compliant embedded relational database management system contained in a relatively small (~275 kB) C programming library. The source code for SQLite is in the public domain and implements most of the SQL standard. In contrast to other databases, SQLite is not a separate process that is accessed from the client application, but an integral part of it. SQLite uses a dynamically and weakly typed SQL syntax that does not guarantee the domain integrity. SQLite is a multitasking database concerning reads. Writes can be done only one-at-a-time. It is a popular choice for local/client storage on web browsers. It has many bindings to programming languages. It is arguably the most widely used database engine, as it is used today by several widespread browsers, operating systems, embedded systems among others. (Excerpt from Wikipedia article: SQLite) |
100 | |
sushi |
The Standardized Usage Statistics Harvesting Initiative (SUSHI) protocol standard (ANSI/NISO Z39.93-2007) defines an automated request and response model for the harvesting of electronic resource usage data utilizing a Web services framework. Built on SOAP, a versioned Web Services Description Language (WSDL), and XML schema with the syntax of the SUSHI protocol, this standard is intended to replace the time-consuming user-mediated collection of usage data reports. SUSHI was designed to be both generalised and extensible, so that it could be used to retrieve a variety of usage reports. An extension designed specifically to work with COUNTER reports is provided with the standard, as these are expected to be the most frequently retrieved usage reports. (Excerpt from this source) |
100 | |
xmpp |
Extensible Messaging and Presence Protocol (XMPP) is an open-standard communications protocol for message-oriented middleware based on XML (Extensible Markup Language). The protocol was originally named Jabber, and was developed by the Jabber open-source community in 1999 for, originally, near-real-time, extensible instant messaging (IM), presence information, and contact list maintenance. Designed to be extensible, the protocol today also finds application in VoIP and file transfer signaling. Unlike most instant messaging protocols, XMPP uses an open systems approach of development and application, by which anyone may implement an XMPP service and interoperate with other organizations' implementations. The software implementation and many client applications are distributed as free and open source software. XMPP-based software is deployed widely across the Internet and by 2003 was used by over ten million people worldwide, according to the XMPP Standards Foundation. Apache Wave's federation protocol is an extension to the XMPP protocol. (Excerpt from Wikipedia article: XMPP) |
100 | |
tablet computer |
A tablet computer, or simply tablet, is a one-piece mobile computer. Devices typically have a touchscreen, with finger or stylus gestures replacing the conventional computer mouse. It is often supplemented by physical buttons or input from sensors such as accelerometers. An on-screen, hideable virtual keyboard is usually used for typing. Tablets differentiate themselves by being larger than smart phones or personal digital assistants. They are usually 7 inches (18 cm) or larger, measured diagonally. Though generally self-contained, a tablet computer may be connected to a physical keyboard or other input device. A number of hybrids that have detachable keyboards have been sold since the mid-1990s. Convertible touchscreen notebook computers have an integrated keyboard that can be hidden by a swivel or slide joint. Booklet tablets have dual-touchscreens and can be used as a notebook by displaying a virtual keyboard on one of the displays. (Excerpt from Wikipedia article: Tablet computer) |
97.2 | |
drupal |
Drupal is a free and open source content management system (CMS) and Content Management framework (CMF) written in PHP and distributed under the GNU General Public License. It is used as a back-end system for at least 1.5% of all websites worldwide ranging from personal blogs to corporate, political, and government sites including whitehouse.gov and data.gov.uk. It is also used for knowledge management and business collaboration. (Excerpt from Wikipedia article: Drupal) |
92 | |
big data |
In information technology, big data consists of datasets that grow so large that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing. This trend continues because of the benefits of working with larger and larger datasets allowing analysts to "spot business trends, prevent diseases, combat crime." Though a moving target, current limits are on the order of terabytes, exabytes and zettabytes of data. Scientists regularly encounter this problem in meteorology, genomics, connectomics, complex physics simulations, biological and environmental research, Internet search, finance and business informatics. Data sets also grow in size because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microphones, Radio-frequency identification readers, wireless sensor networks and so on." Every day, 2.5 quintillion bytes of data are created and 90% of the data in the world today was created within the past two years. (Excerpt from Wikipedia article: Big data) |
86.5 |
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