Towards Interactive Analytics over RDF Graphs
The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools. Such tools should take into account the special features of RDF graphs, exploit the semanti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/14/2/34 |
| _version_ | 1827597963741888512 |
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| author | Maria-Evangelia Papadaki Nicolas Spyratos Yannis Tzitzikas |
| author_facet | Maria-Evangelia Papadaki Nicolas Spyratos Yannis Tzitzikas |
| author_sort | Maria-Evangelia Papadaki |
| collection | DOAJ |
| description | The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools. Such tools should take into account the special features of RDF graphs, exploit the semantics of RDF and support flexible aggregate queries. In this paper, we present an approach for applying analytics to RDF data based on a high-level functional query language, called HIFUN. According to that language, each analytical query is considered to be a well-formed expression of a functional algebra and its definition is independent of the nature and structure of the data. In this paper, we investigate how HIFUN can be used for easing the formulation of analytic queries over RDF data. We detail the applicability of HIFUN over RDF, as well as the transformations of data that may be required, we introduce the translation rules of HIFUN queries to SPARQL and we describe a first implementation of the proposed model. |
| first_indexed | 2024-03-09T03:41:50Z |
| format | Article |
| id | doaj.art-c61d5d030846404bac3422e424ba8b3a |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-09T03:41:50Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-c61d5d030846404bac3422e424ba8b3a2023-12-03T14:39:22ZengMDPI AGAlgorithms1999-48932021-01-011423410.3390/a14020034Towards Interactive Analytics over RDF GraphsMaria-Evangelia Papadaki0Nicolas Spyratos1Yannis Tzitzikas2Institute of Computer Science, FORTH-ICS, 70013 Heraklion, GreeceLaboratoire de Recherche en Informatique, Université de Paris-Sud, 91400 Orsay, FranceInstitute of Computer Science, FORTH-ICS, 70013 Heraklion, GreeceThe continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools. Such tools should take into account the special features of RDF graphs, exploit the semantics of RDF and support flexible aggregate queries. In this paper, we present an approach for applying analytics to RDF data based on a high-level functional query language, called HIFUN. According to that language, each analytical query is considered to be a well-formed expression of a functional algebra and its definition is independent of the nature and structure of the data. In this paper, we investigate how HIFUN can be used for easing the formulation of analytic queries over RDF data. We detail the applicability of HIFUN over RDF, as well as the transformations of data that may be required, we introduce the translation rules of HIFUN queries to SPARQL and we describe a first implementation of the proposed model.https://www.mdpi.com/1999-4893/14/2/34analyticsRDFlinked data |
| spellingShingle | Maria-Evangelia Papadaki Nicolas Spyratos Yannis Tzitzikas Towards Interactive Analytics over RDF Graphs Algorithms analytics RDF linked data |
| title | Towards Interactive Analytics over RDF Graphs |
| title_full | Towards Interactive Analytics over RDF Graphs |
| title_fullStr | Towards Interactive Analytics over RDF Graphs |
| title_full_unstemmed | Towards Interactive Analytics over RDF Graphs |
| title_short | Towards Interactive Analytics over RDF Graphs |
| title_sort | towards interactive analytics over rdf graphs |
| topic | analytics RDF linked data |
| url | https://www.mdpi.com/1999-4893/14/2/34 |
| work_keys_str_mv | AT mariaevangeliapapadaki towardsinteractiveanalyticsoverrdfgraphs AT nicolasspyratos towardsinteractiveanalyticsoverrdfgraphs AT yannistzitzikas towardsinteractiveanalyticsoverrdfgraphs |