@inproceedings{d7a23a65fdad486da079d8bed340c1d6,
title = "Towards dsl for dl lifecycle data management",
abstract = "A new method based on Domain Specific Language (DSL) approach to Deep Learning (DL) lifecycle data management tool support is presented: a very simple DL lifecycle data management tool, which however is usable in practice (it will be called Core tool) and a very advanced extension mechanism which in fact converts the Core tool into domain specific tool (DSL tool) building framework for DL lifecycle data management tasks. The extension mechanism will be based on the metamodel specialization approach to DSL modeling tools introduced by authors. The main idea of metamodel specialization is that we, at first, define the Universal Metamodel (UMM) for a domain and then for each use case define a Specialized Metamodel. But for use in our new domain the specialization concept will be extended: we add a functional specialization where invoking an additional custom program at appropriate points of Core tool is supported.",
keywords = "DL, DL lifecycle data management, DSL, Metamodel specialization",
author = "Edgars Celms and Bārzdiņ{\v s}, \{Jānis Visvaldis\} and Audris Kalniņ{\v s} and Artūrs Sproģis and Mikus Grasmanis and Sergejs Rika{\v c}ovs and Paulis Barzdins",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.",
year = "2020",
doi = "10.1007/978-3-030-57672-1\_16",
language = "English",
isbn = "978-303057671-4",
volume = "1243 CCIS",
series = "Communications in Computer and Information Science",
pages = "205--218",
editor = "Tarmo Robal and Hele-Mai Haav and Jaan Penjam and Raimundas Matulevicius",
booktitle = "Databases and Information Systems - 14th International Baltic Conference, DB and IS 2020, Proceedings",
}