2018: FORGOTTEN BASICS
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). This version is designed for 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: For descrip­tion of reality usually words of language are used, but they catego­rize the original quantitative features of reality. Depending on the domain of interest, specific features can be selec­ted and represen­ted more precisely by vectors ("Domain Vectors" = DVs) in "Domain Spaces" (DSs). DSs represent domain specific metric spaces. Every DS is unambi­guously identified by an identifier which in a web standard can be the URL of 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 DSI (first keyword kw0)
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, | 2018-12-19 space-of-spaces || v18019

Select i7 (index of Domain Space)  
                    1000..1023..4002
i7  s  r 
1000 2448  57  space-of-spaces || v18019
1001 27  9  o ride
1002 22  2  o my-location
1003 14  1  o real-estate
1004 27  0  o car
1005 6  10001  o test-space || try search 0..10: subv1, subv2 filled with pseudo random numbers 0..10
1006 494  25  o Cupboard | Schrank
1007 44  11  o Diode || (for rectification)
1008 172  100001  o 260dim-demo || contains after second dim pseudo randoms for tests; subv 0,1 manhattan metric leads to another graph (diamond) output of surro..
1009 171  56  o text-as-dimension-example || dimensions (not used for similarity comparison) can also represent text
1010 18  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 65  24  o datacube-example-as-TS || data like "The RDF Data Cube vocabulary" example chapter 3
1016 0  0  o opinion-about-xx
1017 1  0  o climate-fluctuations
1018 0  0  o Meeting | Treffen
1019 6  11  o Kugellager-Edelstahl
1020 0  0  o Help || Search help (kind of help, time, location, duration etc.)
1021 0  0  o diagnosis-1-copy11
1022 0  0  o MRT-usage-year || yearly usage data about one magnetic resonance tomograph
1023 0  1  o diagnosis-1-copy13

w0 1 2 3 4 5 6

Short instruction manual

Search demo
imprint, contact 

* sketch

** eHealth application

* presentation

*** technical details


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