2022: The 2-minute Video recalls basics like reproducible information transport and shows the targeted solution: In the Future Internet users can define information Online and Thus Globally Uniformly.

The 12-minute Video about global definition of information clarifies that with it a Substantial improvement of digital information representation is possible.
NumericSearch is an application. It allows high re­so­lu­tion search in user de­fi­ned domains which are also metric spaces or "Domain Spaces" (DSs). Precise comparison of all kinds of information is possible (very important e.g. in medicine).

This website is designed for technical demonstration purposes, therefore the data generated by users is stored in a local database.

Click in the column below i7 on a index to search in a DS with count of resources r>0, e.g. click on 1005 or 1006

Motivation:
Information is selection from a "domain" which is a common set of possi­bilities. Language vocabulary is only one possible domain - the domain can be precisely adapted to the application and defined online. Any piece of information then can be digitally transported as number sequence or "Domain Vector" (DV) which selects in the domain or "Domain Space" (DS). A DS is a domain which is a metric space. Every DV is unambi­guously identified by a UL which is an efficient link to the DS definition. The DVs of a DS are accessible to similarity search with optional range restriction.

NumericSearch consists of 2 steps:

1. Selection of the DS directly or by text search
2. Similarity and/or bounded search of DVs within this DS.

You can test it and contribute own DVs and also define own DSs. You can verify that DV based descrip­tion and search has much higher resolution and range than word based description and search. Therefore it is plausible that the principle will become standard on the web.


impressum 
✹ i4  ✹ iu  search  kw0  login  reg  own  us 
✹ i7=1000, | 2025-05-09 space-of-spaces || v2330726

Select i7 (Domain Space = Domain of searched Information)  
                    1000..1023..4006
i7  s  r 
1000 7934  61  space-of-spaces || v2330726
1001 55  9  o ride
1002 87  10  o COVID-19-V1
1003 46  1  o real-estate
1004 67  0  o car
1005 201  10001  o test-space || try search 0..10: subv1, subv2 filled with pseudo random numbers 0..10
1006 710  25  o Cupboard | Schrank
1007 103  11  o Diode || (for rectification)
1008 486  100001  o 260dim-demo || contains in dim 2,3,4... pseudo randoms for tests; manhattan metric leads to another graph (diamond) output of surrounding than euclidean metric (ellipse)
1009 198  56  o text-as-dimension-example || dimensions (not used for similarity comparison) can also represent text
1010 194  2  o cardiovascular-disease
1011 164  0  o diagnosis-1-copy-of-above-for-test
1012 33  6  o vaccination
1013 79  0  o diagnosis-1-copy3
1014 49  8  o Screw | Schraube
1015 132  24  o datacube-example-as-DS || (old) example
1016 24  0  o opinion-about-xx
1017 129  0  o climate-fluctuations || The explicit representation of daily - weekly - monthly - yearly is for demonstration purposes. Equivalent and more efficient than repeating the definitions of subvectors would be one subvector with additional dimension which represents (e.g.) the cases "daily - wee..
1018 24  0  o Meeting | Treffen
1019 38  11  o Kugellager-Edelstahl
1020 44  0  o Help || Search help (kind of help, time, location, duration etc.)
1021 60  3  o compression-fracture
1022 101  0  o MRT-usage-year || yearly usage data about one magnetic resonance tomograph
1023 57  8  o Bicycle

w0 1 2 3 4 5 6

Short instruction manual

Search demo
imprint, contact 

sketch

presentation

Help




* eHealth application

** general application