Count Aggregation in Semantic Queries

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00208081" target="_blank" >RIV/68407700:21230/13:00208081 - isvavai.cz</a>

Výsledek na webu

<a href="http://ceur-ws.org/Vol-1046/SSWS2013_paper1.pdf" target="_blank" >http://ceur-ws.org/Vol-1046/SSWS2013_paper1.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Count Aggregation in Semantic Queries

Popis výsledku v původním jazyce

In this paper we study the distinct count aggregation function used in queries into expressive ontologies. The main differences in this settings opposed to aggregation in relational database systems are the Open World Assumption and incomplete knowledge.We propose different interpretations useful in different practical use-cases of the distinct count function, i.e. basic count, semantic count, epistemic count and semantic tuple count some of which use knowledge derived from the ontology in order to obtain results in accordance with the Open World Assumption. We use interval semantics to model the uncertainty of the distinct count function's result induced by incomplete knowledge in the ontology. We show that interval semantics are particularly usefulin aggregate queries with filtering clause and when we need the retrieval of the boundaries of the uncertainty of the distinct count function's result. We study and present relationships among the different interpretations and decidabilit

Název v anglickém jazyce

Count Aggregation in Semantic Queries

Popis výsledku anglicky

In this paper we study the distinct count aggregation function used in queries into expressive ontologies. The main differences in this settings opposed to aggregation in relational database systems are the Open World Assumption and incomplete knowledge.We propose different interpretations useful in different practical use-cases of the distinct count function, i.e. basic count, semantic count, epistemic count and semantic tuple count some of which use knowledge derived from the ontology in order to obtain results in accordance with the Open World Assumption. We use interval semantics to model the uncertainty of the distinct count function's result induced by incomplete knowledge in the ontology. We show that interval semantics are particularly usefulin aggregate queries with filtering clause and when we need the retrieval of the boundaries of the uncertainty of the distinct count function's result. We study and present relationships among the different interpretations and decidabilit

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 9th International Workshop on Scalable Semantic Web Knowledge Base Systems

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

16

Strana od-do

1-16

Název nakladatele

CEUR Workshop Proceedings

Místo vydání

Tilburg

Místo konání akce

Sydney

Datum konání akce

21. 10. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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