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In the figure, for several alignment tools, the relationship between the mapping quality reported by the alignment tool and the actual mapping accuracy (the fraction of accurate mappings among those that are assigned the respective quality score) is shown.
They provide dynamic local mappings among names, IDs, and locators (IMS); static global mapping between names and IMS locators (NMS); and identifier to global locators mapping (LMS).
It is also present on approaches to the future Internet: (1) when decoupling the hosts' identification from location; (2) on information-centric approaches to resolve information ID/Loc mappings; (3) on substrate resource virtualization to store mappings among real-virtual entities; and (4) on service-based applications to map among participants entities.
Examples of such technologies include ontologies (i.e. formal descriptions of the meaning of concepts), mappings among concepts/terms used in heterogeneous systems with the same meaning (semantic mapping), query languages, knowledge representation formalisms such as rules, as well as automatic inference mechanisms.
Semantic mediation is achieved through the construction of binary mappings among relevant ontologies.
This would probably require to analyze more complex mappings among features and software elements.
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Non-self-mappings are among the intriguing research directions in fixed point theory.
One possible filter is a Pileup filter based on choosing among otherwise equal mappings the single mapping that has the most surrounding mappings supporting it.
One-to-one or many-to-one mappings are formed among sensor nodes of neighbor grid.
They studied fixed points of soft contraction mappings and obtained among others results, a soft Banach contraction principle.
Fixed-point theorems for locally contractive mappings were studied, among others, by Edelstein [13], Beg and Azam [14], Holmes [15], Hu [11], Hu and Rosen [16], Ko and Tasi [17], Kuhfitting [18] and Nadler [19].
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