A knowledge-driven approach for designing data analytics platforms
نویسندگان
چکیده
Abstract Big data analytics technologies are rapidly expanding across all industry sectors as organisations try to make an integral part of their everyday decision-making. Although there many software tools and libraries assist analysts engineers in developing solutions, looking for flexible platforms that can address specific objectives requirements. To minimise costs, such also need co-exist with existing IT infrastructures reuse knowledge resources already accumulated within the organisation. needs, this paper proposes Data Analytics Solution Engineering (DASE) framework—a knowledge-driven approach supported by semantic web requirements engineering, design development new platforms. It includes a meta-model captures platform via Knowledge Base, set guidelines follow engineering reference architecture demonstrates how use these guidelines. We evaluate DASE framework through two case studies demonstrate it facilitate knowledge-based requirements-driven engineering. The resulting observed be user friendly, easy maintain handling changes This work contributes body providing tailored different application domains.
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ژورنال
عنوان ژورنال: Requirements Engineering
سال: 2022
ISSN: ['0947-3602', '1432-010X']
DOI: https://doi.org/10.1007/s00766-022-00385-5