Abstract
Scientific data is stored in a wide variety of different formats. While much recent research and development have focused on specialized languages and tools to fulfill the requirements of specific domains or data structures, the need for more general technologies to enable data scientists to deal with various forms of data in a universal manner is growing. In this paper we describe data querying capabilities of the XQt language in order to show how it enables the users to author their processes in data source and format ignorant ways and to share and reuse their data, processes, and acquired skills. In addition, we describe the internals of the language, the execution pipeline, and the mapping between the domain level schemas and the physical structure of the data. The paper highlights the retrieval capabilities of XQt and illustrates some of its basic performance indicators.
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Chamanara, J., König-Ries, B. (2014). An Introduction to the Data Retrieval Facilities of the XQt Language for Scientific Data. In: Galhardas, H., Rahm, E. (eds) Data Integration in the Life Sciences. DILS 2014. Lecture Notes in Computer Science(), vol 8574. Springer, Cham. https://doi.org/10.1007/978-3-319-08590-6_14
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DOI: https://doi.org/10.1007/978-3-319-08590-6_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08589-0
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