2020:
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 |  |
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