Towards DSL for DL Lifecycle Data Management

Autor:	Mikus Grasmanis, Janis Barzdins, Arturs Sprogis, Edgars Celms, Audris Kalnins, Paulis Barzdins, Sergejs Rikacovs
Rok vydání:	2020
Předmět:	Domain-specific language business.industry Computer science Data management Deep learning USable Domain (software engineering) Metamodeling Digital subscriber line Software_SOFTWAREENGINEERING Specialization (functional) Artificial intelligence business Software engineering
Zdroj:	Communications in Computer and Information Science ISBN: 9783030576714 DB&IS
DOI:	10.1007/978-3-030-57672-1_16
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3a4053c13bd957d1e0d7d57edca9f910 https://doi.org/10.1007/978-3-030-57672-1_16 Zobrazit plný text záznamu