2020:
Substantial improvement of digital information representation is possible.
In the Future Internet users will define information globally. Here we demonstrate an application: NumericSearch allows high re­so­lu­tion search in user de­fi­ned numeric Domain Spaces (DSs), also comparison of (e.g. medical) information. This web site is designed for technical demonstration purposes, the user generated DSs are 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 DS 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 of its first keyword kw0 (DSI)
2. Similarity and/or regional search of DVs within this DS.

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


impressum 
✹ i4  ✹ iu  search  kw0  login  reg  own  us 
✹ i7=1000, | 2021-01-15 space-of-spaces || v18161

Select i7 (index of Domain Space)  
                    1000..1023..4004
i7  s  r 
1000 2881  59  space-of-spaces || v18161
1001 29  9  o ride
1002 27  2  o my-location
1003 15  1  o real-estate
1004 37  0  o car
1005 18  10001  o test-space || try search 0..10: subv1, subv2 filled with pseudo random numbers 0..10
1006 548  25  o Cupboard | Schrank
1007 53  11  o Diode || (for rectification)
1008 289  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 171  56  o text-as-dimension-example || dimensions (not used for similarity comparison) can also represent text
1010 22  1  o cardiovascular-disease
1011 2  0  o diagnosis-1-copy-of-above-for-test
1012 0  0  o diagnosis-1-copy2
1013 4  0  o diagnosis-1-copy3
1014 22  8  o Screw | Schraube
1015 68  24  o datacube-example-as-TS || data like "The RDF Data Cube vocabulary" example chapter 3
1016 0  0  o opinion-about-xx
1017 3  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 subvec..
1018 0  0  o Meeting | Treffen
1019 7  11  o Kugellager-Edelstahl
1020 2  0  o Help || Search help (kind of help, time, location, duration etc.)
1021 4  3  o compression-fracture
1022 0  0  o MRT-usage-year || yearly usage data about one magnetic resonance tomograph
1023 12  8  o Bicycle

w0 1 2 3 4 5 6

Short instruction manual

Search demo
imprint, contact 

sketch

presentation

Help




* eHealth application

** general application