Overview of trending keyword tags

Microsoft Word is a commercial word processor designed by Microsoft. It was first released in 1983 under the name Multi-Tool Word for Xenix systems. Subsequent versions were later written for several other platforms including IBM PCs running DOS (1983), the Apple Macintosh (1984), the AT&T Unix PC (1985), Atari ST (1986), SCO UNIX, OS/2, and Microsoft Windows (1989). It is a component of the Microsoft Office system; it is also sold as a standalone product and included in Microsoft Works Suite. The current versions are Microsoft Word 2010 for Windows and 2011 for Mac. (Excerpt from Wikipedia article: MS Word)

MySQL is a relational database management system (RDBMS) that runs as a server providing multi-user access to a number of databases. It is named after developer Michael Widenius' daughter, My. The SQL phrase stands for Structured Query Language. The MySQL development project has made its source code available under the terms of the GNU General Public License, as well as under a variety of proprietary agreements. MySQL was owned and sponsored by a single for-profit firm, the Swedish company MySQL AB, now owned by Oracle Corporation. (Excerpt from Wikipedia article: MySQL)

In general, a namespace is a container that provides context for the identifiers (names, or technical terms, or words) it holds, what allows the disambiguation of homonym identifiers residing in different namespaces. For many programming languages, a namespace is a context for their identifiers. In an operating system, an example of namespace is a directory. Each name in a directory uniquely identifies one file or subdirectory, but one file may have the same name multiple times. (Excerpt from Wikipedia article: Namespace)

Natural language processing (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages. In theory, natural-language processing is a very attractive method of human-computer interaction. Natural language understanding is sometimes referred to as an AI-complete problem, because natural-language recognition seems to require extensive knowledge about the outside world and the ability to manipulate it. NLP has significant overlap with the field of computational linguistics, and is often considered a sub-field of artificial intelligence. Modern NLP algorithms are grounded in machine learning, especially statistical machine learning. Research into modern statistical NLP algorithms requires an understanding of a number of disparate fields, including linguistics, computer science, and statistics. For a discussion of the types of algorithms currently used in NLP, see the article on pattern recognition. (Excerpt from Wikipedia article: Natural language processing)

Netvibes is a personalized dashboard publishing platform for the Web including digital life management, widget distribution services and brand observation rooms. Common uses: brand monitoring; e-reputation management; product marketing; community portals, personal workspaces. Netvibes is a multi-lingual Ajax-based personalized start page or personal web portal much like My Yahoo!, iGoogle or Pageflakes. It is organized into tabs, with each tab containing user-defined modules. Built-in Netvibes modules include an RSS/Atom feed reader, local weather forecasts, a calendar supporting iCal, bookmarks, notes, to-do lists, multiple searches, support for POP3, IMAP4 email as well as several webmail providers including Gmail, Yahoo! Mail, Hotmail, and AOL Mail, Box.net web storage, Delicious, Meebo, Flickr photos, podcast support with a built-in audio player, and several others. A page can be personalized further through the use of existing themes or by creating personal theme. Customized tabs, feeds and modules can be shared with others individually or via the Netvibes Ecosystem. For privacy reasons, only modules with publicly available content can be shared. (Excerpt from Wikipedia article: Netvibes)

Open Archives Initiative Object Reuse and Exchange (OAI-ORE) defines standards for the description and exchange of aggregations of Web resources. The OAI-ORE specification implements the ORE Model which introduces the Resource Map (ReM) that makes it possible to associate an identity with aggregations of resources and make assertions about their structure and semantics. These aggregations (sometimes called compound digital objects or compound information objects) may combine distributed resources together, and with multiple media types including text, images, data, and video. The goal of OAI-ORE is to expose the rich content in aggregations to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. OAI-ORE is funded by the Mellon Foundation. Version 1.0 of the specification was released on 17 October 2008. (Excerpt from Wikipedia article: OAI-ORE)

Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used to convert books and documents into electronic files, to computerize a record-keeping system in an office, or to publish the text on a website. OCR makes it possible to edit the text, search for a word or phrase, store it more compactly, display or print a copy free of scanning artifacts, and apply techniques such as machine translation, text-to-speech and text mining to it. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. (Excerpt from Wikipedia article: Optical character recognition)

In computer science and information science, an ontology is a formal representation of knowledge as a set of concepts within a domain, and the relationships between those concepts. It is used to reason about the entities within that domain, and may be used to describe the domain. Its meaning is vastly different from the word Ontology in philosophy. In theory, an ontology is a "formal, explicit specification of a shared conceptualisation". An ontology provides a shared vocabulary, which can be used to model a domain - that is, the type of objects and/or concepts that exist, and their properties and relations. Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. (Excerpt from Wikipedia article: Ontology)

Open access (OA) refers to unrestricted online access to articles published in scholarly journals, and increasingly also book chapters or monographs. Open Access comes in two forms, Gratis versus Libre: Gratis OA is no-cost online access, while Libre OA offers some additional usage rights. Open content is similar to OA, but usually includes the right to modify the work, whereas in scholarly publishing it is usual to keep an article's content intact and to associate it with a fixed author. Creative Commons licenses can be used to specify usage rights. The Open Access idea can be extended to the learning objects and resources provided in e-learning. OA can be provided in two ways: 1) "Green OA" is provided by authors publishing in any journal and then self-archiving their postprints in their institutional repository or on some other OA website. Green OA journal publishers endorse immediate OA self-archiving by their authors. 2) "Gold OA" is provided by authors publishing in an open access journal that provides immediate OA to all of its articles on the publisher's website. (Hybrid open access journals provide Gold OA only for those individual articles for which their authors (or their author's institution or funder) pay an OA publishing fee.) (Excerpt from Wikipedia article: Open access publishing)