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ViSlang: A System for Interpreted Domain-Specific Languages for Scientific Visualization.

Peter Rautek, Stefan Bruckner, M Eduard Gröller

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    This study introduces ViSlang, a system for creating domain-specific languages (DSLs) to simplify scientific visualization. ViSlang offers flexibility for experts without hindering novice users, improving the visualization workflow.

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    Area of Science:

    • Computer Science
    • Scientific Visualization

    Background:

    • Scientific visualization tools often present high-level graphical interfaces or low-level code libraries.
    • Domain scientists require more flexible yet user-friendly interfaces for complex visualization tasks.

    Purpose of the Study:

    • To present ViSlang, a system that integrates and facilitates the creation of domain-specific languages (DSLs) for scientific visualization.
    • To enhance scientific visualization practices by offering a flexible and extensible language tailored for domain scientists.

    Main Methods:

    • Design and implementation of ViSlang, an interpreted language for scientific visualization.
    • Development of novel DSLs within ViSlang for specific tasks like volume processing and querying.
    • Integration of ViSlang into existing user interfaces to support both novice and expert users.

    Main Results:

    • ViSlang enables the creation of extensible, domain-specific languages for visualization.
    • The system demonstrably increases flexibility for expert users without complicating the experience for novices.
    • New DSLs for volume processing, querying, and visualization were successfully implemented.

    Conclusions:

    • ViSlang provides a flexible and extensible platform for scientific visualization through domain-specific languages.
    • This approach balances the needs of expert and novice users, enhancing the overall visualization workflow.
    • The system offers a viable alternative to traditional interfaces, with comparable or improved performance.