Introduction
The recent successful application of Datalog in a number of advanced projects, has renewed the interest in Datalog-based systems for developing real-world applications. Indeed, in the last few years Datalog has been successifully applied in many different areas of computer science, including: Artificial Intelligence, Data Extraction, Information Integration and Knowledge Management. Interestingly, besides the scientific applications, Datalog-based systems were also applied for developing some industrial systems. Nonetheless, in order to boost the adoption of Datalog-based technologies in the scientific community and especially in industry, it is important to provide effective programming tools, which support the activities of researchers and implementors and simplify users’ interactions with Datalog systems. Indeed, development frameworks and tools provide indispensable means for assisting and simplifying application development. For this reason, the most popular programming languages and also commercial off-of- the-shelf software products (e.g., DBMSs) are always complemented by Integrated Development Environments (IDE) and Software Development Kits (SDK).
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Febbraro, O., Grasso, G., Leone, N., Reale, K., Ricca, F. (2012). Datalog Development Tools. In: Barceló, P., Pichler, R. (eds) Datalog in Academia and Industry. Datalog 2.0 2012. Lecture Notes in Computer Science, vol 7494. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32925-8_9
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