Towards Interactive Analytics over RDF Graphs
نویسندگان
چکیده
The continuous accumulation of multi-dimensional data and the development Semantic Web Linked Data published in Resource Description Framework (RDF) bring new requirements for analytics tools. Such tools should take into account special features RDF graphs, exploit semantics support flexible aggregate queries. In this paper, we present an approach applying to based on a high-level functional query language, called HIFUN. According that each analytical is considered be well-formed expression algebra its definition independent nature structure data. investigate how HIFUN can used easing formulation analytic queries over We detail applicability RDF, as well transformations may required, introduce translation rules SPARQL describe first implementation proposed model.
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ژورنال
عنوان ژورنال: Algorithms
سال: 2021
ISSN: ['1999-4893']
DOI: https://doi.org/10.3390/a14020034