Abstract
In the dynamic world of the internet and web service, the need to access data in a transparent and flexible way becomes increasingly important. Technological advances on infrastructure level allow us to store and process larger volumes of data, with a higher complexity/variety and modification speed on structure as well as content level close to real-time. In this paper, the concept of “Data Service” is introduced as a novel methodology to match the data needs of services with existing, unstructured data environments. The approach is conceptualized as a domain-independent modeling method enabling developers to semantically design access mechanisms and algorithms, combine available data services according to functionality requirements and enrich retrieved data with metadata and provenance information.
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Roussopoulos, N., Utz, W. (2016). Design Semantics on Accessibility in Unstructured Data Environments. In: Karagiannis, D., Mayr, H., Mylopoulos, J. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-39417-6_4
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DOI: https://doi.org/10.1007/978-3-319-39417-6_4
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