Knowledge management software

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Knowledge management software (KM software) is a subset of content management software, which contains a range of software that specializes in the way information is collected, stored and/or accessed. The concept of knowledge management is based on a range of practices used by an individual, a business, or a large corporation to identify, create, represent and redistribute information for a range of purposes. Software that enables an information practice or range of practices at any part of the processes of information management can be deemed to be called information management software. A subset of information management software that emphasizes an approach to build knowledge out of information that is managed or contained is often called knowledge management software.

Contents

KM software in most cases provides a means for individuals, small groups or mid-sized businesses to innovate, build new knowledge in the group, and/or improve customer experience. Knowledge management systems (software) include a range of about 1,500 or more different approaches to collect and contain information to then build knowledge that can be searched through specialised search tools. These include concept building tools and/or visual search tools that present information in a connected manner not originally conceptualised by those collecting or maintaining the information database.

One of the main categories of knowledge management software is groupware, which can be used for knowledge sharing and capture. Groupware is a combination of synchronous, asynchronous and community focused tools. Groupware can be used to exchange knowledge and expertise even when the team members are situated around the world. [1]

Features

Features of KM software usually include:

As business today is becoming increasingly international, the ability to access information in different languages is now a requirement for some organizations. Reported success factors of a KM system include the capability to integrate well with existing internal systems [2] and the scalability of the system to grow within the organization. [3]

Range

KM software ranges from small software packages for an individual to use to highly specialized enterprise software suitable for use by hundreds of employees. Often KM software provides a key resource for employees working in customer service or telephone support industries, or sectors of large corporations.

Knowledge management software, in general, enables the combination of unstructured information sources, such as individual word processed documents and/or PDF documents, email, graphic illustrations, unstructured notes, website links, invoices, and other information bearing collections, such as a simple thought, through to a combination of millions of interactions from a website, and through that combination enables the seeker to obtain knowledge that otherwise would not have been discovered. As Internet access speeds increased, many on-demand (or software as a service) products have evolved and are now the leading suppliers of KM software.

One of the departures from the almost standard keyword search approach are those group of companies developing visual search techniques. Some common visual search approaches include:

Notable knowledge management tools include:

See also

Related Research Articles

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Wiki software is collaborative software that runs a wiki, which allows the users to create and collaboratively edit pages or entries via a web browser. A wiki system is usually a web application that runs on one or more web servers. The content, including previous revisions, is usually stored in either a file system or a database. Wikis are a type of web content management system, and the most commonly supported off-the-shelf software that web hosting facilities offer.

Collaborative software or groupware is application software designed to help people working on a common task to attain their goals. One of the earliest definitions of groupware is "intentional group processes plus software to support them."

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Social software, also known as social apps or social platform includes communications and interactive tools that are often based on the Internet. Communication tools typically handle capturing, storing and presenting communication, usually written but increasingly including audio and video as well. Interactive tools handle mediated interactions between a pair or group of users. They focus on establishing and maintaining a connection among users, facilitating the mechanics of conversation and talk. Social software generally refers to software that makes collaborative behaviour, the organisation and moulding of communities, self-expression, social interaction and feedback possible for individuals. Another element of the existing definition of social software is that it allows for the structured mediation of opinion between people, in a centralized or self-regulating manner. The most improved area for social software is that Web 2.0 applications can all promote co-operation between people and the creation of online communities more than ever before. The opportunities offered by social software are instant connections and opportunities to learn.An additional defining feature of social software is that apart from interaction and collaboration, it aggregates the collective behaviour of its users, allowing not only crowds to learn from an individual but individuals to learn from the crowds as well. Hence, the interactions enabled by social software can be one-to-one, one-to-many, or many-to-many.

Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a knowledge discovery in databases (KDD) process. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interest. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling.

<span class="mw-page-title-main">Tiki Wiki CMS Groupware</span> Content management software

Tiki Wiki CMS Groupware or simply Tiki, originally known as TikiWiki, is a free and open source Wiki-based content management system and online office suite written primarily in PHP and distributed under the GNU Lesser General Public License (LGPL-2.1-only) license. In addition to enabling websites and portals on the internet and on intranets and extranets, Tiki contains a number of collaboration features allowing it to operate as a Geospatial Content Management System (GeoCMS) and Groupware web application.

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<span class="mw-page-title-main">Tag (metadata)</span> Keyword assigned to information

In information systems, a tag is a keyword or term assigned to a piece of information. This kind of metadata helps describe an item and allows it to be found again by browsing or searching. Tags are generally chosen informally and personally by the item's creator or by its viewer, depending on the system, although they may also be chosen from a controlled vocabulary.

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Unstructured data is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared to data stored in fielded form in databases or annotated in documents.

Corporate taxonomy is the hierarchical classification of entities of interest of an enterprise, organization or administration, used to classify documents, digital assets and other information. Taxonomies can cover virtually any type of physical or conceptual entities at any level of granularity.

Cyn.in is an open-source enterprise collaborative software built on top of Plone a content management system written in the Python programming language which is a layer above Zope. Cyn.in is developed by Cynapse a company founded by Apurva Roy Choudhury and Dhiraj Gupta which is based in India. Cyn.in enables its users to store, retrieve and organize files and rich content in a collaborative, multiuser environment.

<span class="mw-page-title-main">SharePoint</span> Web application platform

SharePoint is a web-based collaborative platform that integrates natively with Microsoft 365. Launched in 2001, SharePoint is primarily sold as a document management and storage system, although it is also used for sharing information through an intranet, implementing internal applications, and for implementing business processes.

<span class="mw-page-title-main">ApexKB</span>

ApexKB, is a discontinued free and open-source script for collaborative search and knowledge management powered by a shared enterprise bookmarking engine that is a fork of KnowledgebasePublisher. It was publicly announced on 29 September 2008. A stable version of Jumper was publicly released under the GNU General Public License and made available on SourceForge on 26 March 2009.

Enterprise bookmarking is a method for Web 2.0 users to tag, organize, store, and search bookmarks of both web pages on the Internet and data resources stored in a distributed database or fileserver. This is done collectively and collaboratively in a process by which users add tag (metadata) and knowledge tags.

Folksonomy is a classification system in which end users apply public tags to online items, typically to make those items easier for themselves or others to find later. Over time, this can give rise to a classification system based on those tags and how often they are applied or searched for, in contrast to a taxonomic classification designed by the owners of the content and specified when it is published. This practice is also known as collaborative tagging, social classification, social indexing, and social tagging. Folksonomy was originally "the result of personal free tagging of information [...] for one's own retrieval", but online sharing and interaction expanded it into collaborative forms. Social tagging is the application of tags in an open online environment where the tags of other users are available to others. Collaborative tagging is tagging performed by a group of users. This type of folksonomy is commonly used in cooperative and collaborative projects such as research, content repositories, and social bookmarking.

Taxonomy is the practice and science of categorization or classification.

<span class="mw-page-title-main">KH Coder</span> Qualitative data analysis software

KH Coder is an open source software for computer assisted qualitative data analysis, particularly quantitative content analysis and text mining. It can be also used for computational linguistics. It supports processing and etymological information of text in several languages, such as Japanese, English, French, German, Italian, Portuguese and Spanish. Specifically, it can contribute factual examination co-event system hub structure, computerized arranging guide, multidimensional scaling and comparative calculations. Word frequency statistics, part-of-speech analysis, grouping, correlation analysis, and visualization are among the features offered by KH Coder.

References

  1. de Carvalho, Rodrigo Baroni, and Marta Araújo Tavares Ferreira. "Knowledge Management Software." Encyclopedia of Knowledge Management, edited by David G. Schwartz, Idea Group Reference, 2006, pp. 410-418. Gale Virtual Reference Library, http://link.galegroup.com/apps/doc/CX3467300066/GVRL
  2. Lehner, Franz; Nicolas Haas (2010). "Knowledge Management Success Factors". Electronic Journal of Knowledge Management. 8 (1): 81.
  3. L Feliciano, Joe (1 January 2007). "The success criteria for implementing knowledge management systems in an organization". Etd Collection for Pace University. ETD Collection for Pace University Paper: 1–142. Retrieved 20 August 2013.