Semantics and expressive power of subqueries and aggregates in SPARQL 1.1
Answering aggregate queries is a key requirement of emerging applications of Semantic Technologies, such as data warehousing, business intelligence and sensor networks. In order to fulfill the requirements of such applications, the standardisation of SPARQL 1.1 led to the introduction of a wide rang...
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Format: | Conference item |
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Association for Computing Machinery
2015
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author | Kaminski, M Kostylev, E Cuenca Grau, B |
author_facet | Kaminski, M Kostylev, E Cuenca Grau, B |
author_sort | Kaminski, M |
collection | OXFORD |
description | Answering aggregate queries is a key requirement of emerging applications of Semantic Technologies, such as data warehousing, business intelligence and sensor networks. In order to fulfill the requirements of such applications, the standardisation of SPARQL 1.1 led to the introduction of a wide range of constructs that enable value computation, aggregation, and query nesting. In this paper we provide an indepth formal analysis of the semantics and expressive power of these new constructs as defined in the SPARQL 1.1 speci- fication, and hence lay the necessary foundations for the development of robust, scalable and extensible query engines supporting complex numerical and analytics tasks. |
first_indexed | 2024-03-07T00:14:45Z |
format | Conference item |
id | oxford-uuid:7a6ccd8c-0f05-4417-b694-df365f8ef062 |
institution | University of Oxford |
last_indexed | 2024-03-07T00:14:45Z |
publishDate | 2015 |
publisher | Association for Computing Machinery |
record_format | dspace |
spelling | oxford-uuid:7a6ccd8c-0f05-4417-b694-df365f8ef0622022-03-26T20:44:11ZSemantics and expressive power of subqueries and aggregates in SPARQL 1.1Conference itemhttp://purl.org/coar/resource_type/c_5794uuid:7a6ccd8c-0f05-4417-b694-df365f8ef062Symplectic Elements at OxfordAssociation for Computing Machinery2015Kaminski, MKostylev, ECuenca Grau, BAnswering aggregate queries is a key requirement of emerging applications of Semantic Technologies, such as data warehousing, business intelligence and sensor networks. In order to fulfill the requirements of such applications, the standardisation of SPARQL 1.1 led to the introduction of a wide range of constructs that enable value computation, aggregation, and query nesting. In this paper we provide an indepth formal analysis of the semantics and expressive power of these new constructs as defined in the SPARQL 1.1 speci- fication, and hence lay the necessary foundations for the development of robust, scalable and extensible query engines supporting complex numerical and analytics tasks. |
spellingShingle | Kaminski, M Kostylev, E Cuenca Grau, B Semantics and expressive power of subqueries and aggregates in SPARQL 1.1 |
title | Semantics and expressive power of subqueries and aggregates in SPARQL 1.1 |
title_full | Semantics and expressive power of subqueries and aggregates in SPARQL 1.1 |
title_fullStr | Semantics and expressive power of subqueries and aggregates in SPARQL 1.1 |
title_full_unstemmed | Semantics and expressive power of subqueries and aggregates in SPARQL 1.1 |
title_short | Semantics and expressive power of subqueries and aggregates in SPARQL 1.1 |
title_sort | semantics and expressive power of subqueries and aggregates in sparql 1 1 |
work_keys_str_mv | AT kaminskim semanticsandexpressivepowerofsubqueriesandaggregatesinsparql11 AT kostyleve semanticsandexpressivepowerofsubqueriesandaggregatesinsparql11 AT cuencagraub semanticsandexpressivepowerofsubqueriesandaggregatesinsparql11 |