Tag Cloud in Knowledge Networks interlinks the core Sense Domain where the information is actually described with the actual meaning variations at individual minds. The Tag Clouds may look like Mind maps and plays a role of "antenna" in capturing a meaning and redirecting the query to the desired (Core) Sense Domain.
Tag Clouds size is limited by the similarity in culture of participants of Unified Conceptual Space as well as the Law of Least Action and supported by the Wiki methodology.
Tag Cloud is the solution to one of the biggest barriers to Knowledge Management, lack of Standards for Tagging Articles. (Possible Solution: Tag Cloud is the tool of Synchronisation of Associative Networks. Multiple tags with same or similar meaning and sense lead to the same, single and the only one Core Tag, or Sense Domain.)
Automated population of Tag Clouds is based on the Semantic matching principles.
The "Tag Could for Knowledge Networks" concept was first defined by Dmitry Sokolov at his meeting with Professor Hamish Gow and Dr Brennon Wood, end of November, 2012.
https://en.wikipedia.org/wiki/Tag_cloud
A tag cloud (word cloud, or weighted list in visual design) is a visual representation of text data, typically used to depict keyword metadata (tags) on websites, or to visualize free form text. Tags are usually single words, and the importance of each tag is shown with font size or color.[2] This format is useful for quickly perceiving the most prominent terms and for locating a term alphabetically to determine its relative prominence. When used as website navigation aids, the terms are hyperlinked to items associated with the tag.
Visual appearance
A data cloud showing stock price movement. Color indicates positive or negative change, font size indicates percentage change.
Tag clouds are typically represented using inline HTML elements. The tags can appear in alphabetical order, in a random order, they can be sorted by weight, and so on. Sometimes, further visual properties are manipulated in addition to font size, such as the font color, intensity, or weight.[17] Most popular is a rectangular tag arrangement with alphabetical sorting in a sequential line-by-line layout. The decision for an optimal layout should be driven by the expected user goals.[17] Some prefer to cluster the tags semantically so that similar tags will appear near each other.[18][19][20]Heuristics can be used to reduce the size of the tag cloud whether or not the purpose is to cluster the tags.[19]
Tag cloud visual taxonomy is determined by a number of attributes: tag ordering rule (e.g. alphabetically, by importance, by context, randomly, ordered for visual quality), shape of the entire cloud (e.g. rectangular, circle, given map borders), shape of tag bounds (rectangle, or character body), tag rotation (none, free, limited), vertical tag alignment (sticking to typographical baselines, free). A tag cloud on the web must address problems of modeling and controlling aesthetics, constructing a two-dimensional layout of tags, and all these must be done in short time on volatile browser platform. Tags clouds to be used on the web must be in HTML, not graphics, to make them robot-readable, they must be constructed on the client side using the fonts available in the browser, and they must fit in a rectangular box [21].
See Also
Links
Subcategories
``B
``P
``S
Pages
Pages in Other Languages
Categories:
Web 2.0 neologisms
Comments (0)
You don't have permission to comment on this page.