How to make quantitative data on the web searchable and interoperable part of the common vocabulary
نویسنده
چکیده
The elements of the common vocabulary (e.g. words) are quickly known by all participants of a conversation. It was possible to extend on the web the vocabulary effectively by HTTP URLs, because their content is quickly viewable. A further extension is possible, which is powerful but not used up to now: Elements (vectors) of metric spaces, identified by a HTTP URL plus a sequence of values, where the URL locates the definition of the metric space. All elements and with this all well defined quantitative data can become searchable and quickly viewable and so part of the common vocabulary. In this paper we introduce the concept and propose worldwide multidimensional "Domain Spaces", which can be defined online by all users and which can be efficiently used as container of a huge extended vocabulary, especially user defined searchable quantitative data of all kinds.
منابع مشابه
Worldwide Domain Spaces make quantitative data searchable and prepare these for interoperable exchange
Quantitative (numeric) data are often important and decision relevant. By representation as vectors in user defined "Domain Spaces" (DSs) these data become searchable. Every DS represents a nestable metric space with unique "Domain Space Identifier" (DSI), which is the HTTP URL of the DS definition. The elements of a DS are called "Domain Vectors" (DVs). Every DV contains the DSI and a vector w...
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