Worldwide Domain Spaces make quantitative data searchable and prepare these for interoperable exchange
Wolfgang Orthuber · 2014
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 which maps or links the DV with quantitative data into the DS. This makes the DV accessible to similarity search and further evaluation. The approach is demonstrated in an online database with search engine (http://NumericSearch.com/). The complete search procedure is called Numeric Search. It consists of two systematic steps: 1. Selection of the appropriate DS by conventional word based search within the DSIs or other text parts of the DS definitions. 2. Range and/or similarity search of DVs in the selected DS. Because DSs can be defined by web users to all their domains of interest, this is a general approach to make quantitative data identifiable accessible to range and similarity search. A web standard for worldwide valid DS definitions and DVs would allow to place quantitative data as identified open data on the web so that they can be searched and exchanged in interoperable way.