This information was categorized so that it could help healthcare professionals improve early detection of autism.
Situation awareness information was categorized into two independent variables: workspace awareness and user awareness.
The task of organizing a site so that information is categorized in a meaningful and easily traversable way is difficult, in part because it requires keeping track of the relationship of many individual pages and aggregate groups of pages.
Firstly, through the representations, social information is categorized into structured and unstructured information, then a correlation graph for terms occurred in queries and social information is built to express rich semantic contexts for their relationships.
If the current web is like a disk full of word-processing documents — you can either summon a page by its name or search for words it contains — the Semantic Web would be like a database, where every item of information is categorized, and new queries can combine categories in any imaginable way.
If the current Web is like a giant text file — which you can search for instances of particular words — the Semantic Web would be like a database, where every item of information is categorized, and new queries can combine categories in any imaginable way.
Routing information is categorized in groups, and group keys are assigned to virtual routers.
The user's context information is categorized into personal (static) and preferences (dynamic).
Risk marker information was categorized into common domains, and risk markers were consolidated where possible (not shown).
The information was categorized well and, with the option to hide the less useful sources, I was able to shrink the page to a more manageable size.
In addition, the results of training-practice schedules, sleep schedule, the PSQI, the ESS, and clinical information were categorized within each variable, and then the number and percentages of athletes were described in the categories.
