To summarize, in contrast to established workflow management tools, we see our approach targeted to scenarios where computational resources are distributed across independent locations, thus requiring a flexible way of defining which data is exchanged in which format, and, at the same time, can serve as full documentation of how the data was generated in the first place.
Ontologies are used in BioDEAL to standardize the semantic concepts used for annotating entities, which allows data exchange between public databases and BioDEAL, and enables powerful user searches for evidence, which is displayed in gene cards.
We designed an additional knowledge support frontend which controls data exchange between HIS and the knowledge modules.
In this way, the overall autonomy of a wireless sensor network in which sporadic data exchange occurs, can be increased.
This motivates the use of data compression in the context of various tasks such as detection, classification, localization, and tracking, which require data exchange between sensors.
However, without standards for which data to include in exchange, and common exchange formats, publication of high content data is time-consuming and often prohibitive.
The interaction in the second case study was initiated by theoreticians, who wanted to lay the foundations for "data exchange", in which data is converted from one format to another, by using sentences in a fragment of first-order logic.
If so, which data do these models exchange?
These tools are designed to be a unified set in which data can be conveniently exchanged.
An active stream is one for which data is currently being exchanged.
The T3 Innovation Network is made up of just the right mix of critical stakeholders to thoroughly explore the ways in which data are shared and exchanged within and across the talent marketplace in order to make these systems work better for everyone – most critically the worker/learner.
