Enabling ontology-based access to streaming data sources

Jean-Paul Calbimonte; Oscar Corcho; Alasdair J. G. Gray

doi:10.1007/978-3-642-17746-0_7

Enabling ontology-based access to streaming data sources

Jean-Paul Calbimonte, Oscar Corcho, Alasdair J. G. Gray

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

153 Citations (Scopus)

Abstract

The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneity of these sources introduces the requirement of providing data access in a unified and coherent manner, whilst allowing the user to express their needs at an ontological level. In tins paper we describe an ontology-based streaming data access service. Sources link their data content to ontologies through S(2)O mappings. Users can query the ontology using SPARQL(Stream) an extension of SPARQL for streaming data. A preliminary implementation of the approach is also presented. With this proposal we expect to set the basis for future efforts in ontology-based streaming data integration.

Original language	English
Title of host publication	Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010
Editors	PF Patel Schneider, Y Pan, P Hitzler, P Mika, L Zhang, JZ Pan, Horrocks, B Glimm
Place of Publication	BERLIN
Publisher	Springer
Pages	96-111
Number of pages	16
Volume	1
ISBN (Electronic)	978-3-642-17746-0
ISBN (Print)	978-3-642-17745-3
DOIs	https://doi.org/10.1007/978-3-642-17746-0_7
Publication status	Published - 2010
Event	9th International Semantic Web Conference - Shanghai, United Kingdom Duration: 7 Nov 2010 → 11 Nov 2010

Publication series

Name	Lecture Notes in Computer Science
Publisher	SPRINGER-VERLAG BERLIN
Volume	6496
ISSN (Print)	0302-9743

Conference

Conference	9th International Semantic Web Conference
Country/Territory	United Kingdom
Period	7/11/10 → 11/11/10

Keywords

SENSOR NETWORKS
QUERY LANGUAGE
SEMANTICS
SPARQL

Access to Document

10.1007/978-3-642-17746-0_7

Cite this

Calbimonte, J-P., Corcho, O., & Gray, A. J. G. (2010). Enabling ontology-based access to streaming data sources. In PF. Patel Schneider, Y. Pan, P. Hitzler, P. Mika, L. Zhang, JZ. Pan, Horrocks, & B. Glimm (Eds.), Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010 (Vol. 1, pp. 96-111). (Lecture Notes in Computer Science; Vol. 6496). Springer. https://doi.org/10.1007/978-3-642-17746-0_7

Calbimonte, Jean-Paul ; Corcho, Oscar ; Gray, Alasdair J. G. / Enabling ontology-based access to streaming data sources. Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010. editor / PF Patel Schneider ; Y Pan ; P Hitzler ; P Mika ; L Zhang ; JZ Pan ; Horrocks ; B Glimm. Vol. 1 BERLIN : Springer, 2010. pp. 96-111 (Lecture Notes in Computer Science).

@inproceedings{5b8ae90b0cde4e698ad430e8d2678b4e,

title = "Enabling ontology-based access to streaming data sources",

abstract = "The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneity of these sources introduces the requirement of providing data access in a unified and coherent manner, whilst allowing the user to express their needs at an ontological level. In tins paper we describe an ontology-based streaming data access service. Sources link their data content to ontologies through S(2)O mappings. Users can query the ontology using SPARQL(Stream) an extension of SPARQL for streaming data. A preliminary implementation of the approach is also presented. With this proposal we expect to set the basis for future efforts in ontology-based streaming data integration.",

keywords = "SENSOR NETWORKS, QUERY LANGUAGE, SEMANTICS, SPARQL",

author = "Jean-Paul Calbimonte and Oscar Corcho and Gray, {Alasdair J. G.}",

year = "2010",

doi = "10.1007/978-3-642-17746-0_7",

language = "English",

isbn = "978-3-642-17745-3",

volume = "1",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "96--111",

editor = "{Patel Schneider}, PF and Y Pan and P Hitzler and P Mika and L Zhang and JZ Pan and Horrocks and B Glimm",

booktitle = "Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010",

note = "9th International Semantic Web Conference ; Conference date: 07-11-2010 Through 11-11-2010",

}

Calbimonte, J-P, Corcho, O & Gray, AJG 2010, Enabling ontology-based access to streaming data sources. in PF Patel Schneider, Y Pan, P Hitzler, P Mika, L Zhang, JZ Pan, Horrocks & B Glimm (eds), Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010. vol. 1, Lecture Notes in Computer Science, vol. 6496, Springer, BERLIN, pp. 96-111, 9th International Semantic Web Conference, United Kingdom, 7/11/10. https://doi.org/10.1007/978-3-642-17746-0_7

Enabling ontology-based access to streaming data sources. / Calbimonte, Jean-Paul; Corcho, Oscar; Gray, Alasdair J. G.

Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010. ed. / PF Patel Schneider; Y Pan; P Hitzler; P Mika; L Zhang; JZ Pan; Horrocks; B Glimm. Vol. 1 BERLIN : Springer, 2010. p. 96-111 (Lecture Notes in Computer Science; Vol. 6496).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Enabling ontology-based access to streaming data sources

AU - Calbimonte, Jean-Paul

AU - Corcho, Oscar

AU - Gray, Alasdair J. G.

PY - 2010

Y1 - 2010

N2 - The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneity of these sources introduces the requirement of providing data access in a unified and coherent manner, whilst allowing the user to express their needs at an ontological level. In tins paper we describe an ontology-based streaming data access service. Sources link their data content to ontologies through S(2)O mappings. Users can query the ontology using SPARQL(Stream) an extension of SPARQL for streaming data. A preliminary implementation of the approach is also presented. With this proposal we expect to set the basis for future efforts in ontology-based streaming data integration.

AB - The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneity of these sources introduces the requirement of providing data access in a unified and coherent manner, whilst allowing the user to express their needs at an ontological level. In tins paper we describe an ontology-based streaming data access service. Sources link their data content to ontologies through S(2)O mappings. Users can query the ontology using SPARQL(Stream) an extension of SPARQL for streaming data. A preliminary implementation of the approach is also presented. With this proposal we expect to set the basis for future efforts in ontology-based streaming data integration.

KW - SENSOR NETWORKS

KW - QUERY LANGUAGE

KW - SEMANTICS

KW - SPARQL

U2 - 10.1007/978-3-642-17746-0_7

DO - 10.1007/978-3-642-17746-0_7

M3 - Conference contribution

SN - 978-3-642-17745-3

VL - 1

T3 - Lecture Notes in Computer Science

SP - 96

EP - 111

BT - Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010

A2 - Patel Schneider, PF

A2 - Pan, Y

A2 - Hitzler, P

A2 - Mika, P

A2 - Zhang, L

A2 - Pan, JZ

A2 - Horrocks, null

A2 - Glimm, B

PB - Springer

CY - BERLIN

T2 - 9th International Semantic Web Conference

Y2 - 7 November 2010 through 11 November 2010

ER -

Calbimonte J-P, Corcho O, Gray AJG. Enabling ontology-based access to streaming data sources. In Patel Schneider PF, Pan Y, Hitzler P, Mika P, Zhang L, Pan JZ, Horrocks, Glimm B, editors, Proceedings of the 9th International Semantic Web Conference on The Semantic Web ISWC 2010. Vol. 1. BERLIN: Springer. 2010. p. 96-111. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-17746-0_7