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| 1 | +--- |
| 2 | +title: Aims and Scope |
| 3 | +menus: |
| 4 | +- main |
| 5 | +--- |
| 6 | + |
| 7 | +### Motivation |
| 8 | + |
| 9 | +Transformations of structured data such as relational data, abstract |
| 10 | +syntax trees and high-level graph-based models are cross-disciplinary at |
| 11 | +the heart of a wide range of applications. The success of transformation |
| 12 | +approaches heavily depends on the availability of expressive and |
| 13 | +efficient tools. Currently, a large variety of tools exist for different |
| 14 | +transformation approaches. However, for potential users, working in |
| 15 | +application domains where transformation techniques may be useful, it is |
| 16 | +difficult to select the right tool for their purpose. Moreover, even for |
| 17 | +most of the tool experts it is true that they know about one or two |
| 18 | +tools but little about others. Finally, the tool developers themselves |
| 19 | +can also be inspired by a more detailed understanding of related |
| 20 | +approaches. |
| 21 | + |
| 22 | +### Aims |
| 23 | + |
| 24 | +The aim of this event is to evaluate and compare the expressiveness, the |
| 25 | +usability and the performance of transformation tools for structured |
| 26 | +data along a number of selected challenging case studies. That is, we |
| 27 | +want to learn about the pros and cons of each tool considering different |
| 28 | +applications. A deeper understanding of the relative merits of different |
| 29 | +tool features will help to further improve the existing tools, to |
| 30 | +indicate open problems, and to integrate and standardize transformation |
| 31 | +tools. |
| 32 | + |
| 33 | +### Scope |
| 34 | + |
| 35 | +There is a wide range of application domains of transformation tools, |
| 36 | +including software engineering, business intelligence, logistics, |
| 37 | +healthcare and bioinformatics, as well as semantic web and social |
| 38 | +network analysis. |
| 39 | + |
| 40 | +Specific areas of transformations relevant for the TTC include (among |
| 41 | +others): |
| 42 | + |
| 43 | +- model synchronisation and merging, |
| 44 | +- program manipulation and translation, |
| 45 | +- interoperability and migration, |
| 46 | +- model execution and simulation, |
| 47 | +- verification of models and transformations, |
| 48 | +- knowledge extraction and semantic search |
| 49 | + |
| 50 | +If you are working in one of these area or a different domain where |
| 51 | +structured data transformations are relevant, please consider submitting |
| 52 | +a case. |
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