Abstract
Agriculture industries and their business ecosystems experience data and information overload because of complex network or interconnected domains linked to a variety of agro-based systems. Data search becomes tedious when specific queries are made to support crucial technical and financial decisions by agroecosystem service providers. Due to accumulated volumes of heterogeneous data and information in multiple primary sources, websites and company servers, the agriculture industry needs a robust and flexible digital agroecosystem development. To address the major challenges, a Design Science Research (DSR) approach is adopted, articulating systematic data mapping workflows and integrating their data structures in different knowledge domains. Purpose of the research is aimed at designing and developing an ontology-based data warehousing framework, with comprehensive multidimensional ontologies that motivated us to present various data modelling architectures in different knowledge-based domain applications. An emphasis is given to spatial-temporal dimensions in the modelling process that affect the structuring of data relationships in large geographic regions, which are typical in the agro-business environment.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.