Ontology Based Data Access on Temporal and Streaming Data

Özgür Lütfü Özçep; Ralf Möller

doi:10.1007/978-3-319-10587-1_7

Ontology Based Data Access on Temporal and Streaming Data

Özgür Lütfü Özçep, Ralf Möller

Institut für Informationssysteme

17 Zitate (Scopus)

Abstract

Though processing time-dependent data has been investigated for a long time, the research on temporal and especially stream reasoning over linked open data and ontologies is reaching its high point these days. In this tutorial, we give an overview of state-of-the art query languages and engines for temporal and stream reasoning. On a more detailed level, we discuss the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access). STARQL is designed as an expressive and flexible stream query framework that offers the possibility to embed different (temporal) description logics as filter query languages over ontologies, and hence it can be used within the OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).

Originalsprache	Englisch
Titel	Reasoning Web. Reasoning on the Web in the Big Data Era: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings
Redakteure/-innen	Manolis Koubarakis, Giorgos Stamou, Giorgos Stoilos, Ian Horrocks, Phokion Kolaitis, Georg Lausen, Gerhard Weikum
Seitenumfang	34
Band	8714
Erscheinungsort	Cham
Herausgeber (Verlag)	Springer International Publishing
Erscheinungsdatum	01.09.2014
Seiten	279-312
ISBN (Print)	978-3-319-10586-4
ISBN (elektronisch)	978-3-319-10587-1
DOIs	https://doi.org/10.1007/978-3-319-10587-1_7
Publikationsstatus	Veröffentlicht - 01.09.2014
Veranstaltung	10th International Summer School 2014 in Reasoning Web: Reasoning on the Web in the Big Data Era - Athens, Griechenland Dauer: 08.09.2014 → 13.09.2014

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 9 – Industrie, Innovation und Infrastruktur

DFG-Fachsystematik

409-06 Informationssysteme, Prozess- und Wissensmanagement

Dokumente

10.1007/978-3-319-10587-1_7

https://www.ifis.uni-luebeck.de/uploads/tx_wapublications/oeMoe14ReasWeb.pdf

Weitere Links

https://www.scopus.com/pages/publications/84921530310

Zitieren

Özçep, Ö. L., & Möller, R. (2014). Ontology Based Data Access on Temporal and Streaming Data. in M. Koubarakis, G. Stamou, G. Stoilos, I. Horrocks, P. Kolaitis, G. Lausen, & G. Weikum (Hrsg.), Reasoning Web. Reasoning on the Web in the Big Data Era: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings (Band 8714, S. 279-312). ( Lecture Notes in Computer Science ; Band 8714). Springer International Publishing. https://doi.org/10.1007/978-3-319-10587-1_7

Özçep, Özgür Lütfü ; Möller, Ralf. / Ontology Based Data Access on Temporal and Streaming Data. Reasoning Web. Reasoning on the Web in the Big Data Era: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings. Hrsg. / Manolis Koubarakis ; Giorgos Stamou ; Giorgos Stoilos ; Ian Horrocks ; Phokion Kolaitis ; Georg Lausen ; Gerhard Weikum. Band 8714 Cham : Springer International Publishing, 2014. S. 279-312 ( Lecture Notes in Computer Science ).

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abstract = "Though processing time-dependent data has been investigated for a long time, the research on temporal and especially stream reasoning over linked open data and ontologies is reaching its high point these days. In this tutorial, we give an overview of state-of-the art query languages and engines for temporal and stream reasoning. On a more detailed level, we discuss the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access). STARQL is designed as an expressive and flexible stream query framework that offers the possibility to embed different (temporal) description logics as filter query languages over ontologies, and hence it can be used within the OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).",

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Özçep, ÖL & Möller, R 2014, Ontology Based Data Access on Temporal and Streaming Data. in M Koubarakis, G Stamou, G Stoilos, I Horrocks, P Kolaitis, G Lausen & G Weikum (Hrsg.), Reasoning Web. Reasoning on the Web in the Big Data Era: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings. Bd. 8714, Lecture Notes in Computer Science , Bd. 8714, Springer International Publishing, Cham, S. 279-312, 10th International Summer School 2014 in Reasoning Web: Reasoning on the Web in the Big Data Era, Athens, Griechenland, 08.09.14. https://doi.org/10.1007/978-3-319-10587-1_7

Ontology Based Data Access on Temporal and Streaming Data. / Özçep, Özgür Lütfü ; Möller, Ralf.
Reasoning Web. Reasoning on the Web in the Big Data Era: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings. Hrsg. / Manolis Koubarakis; Giorgos Stamou; Giorgos Stoilos; Ian Horrocks; Phokion Kolaitis; Georg Lausen; Gerhard Weikum. Band 8714 Cham: Springer International Publishing, 2014. S. 279-312 ( Lecture Notes in Computer Science ; Band 8714).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Kapitel › Begutachtung

TY - CHAP

T1 - Ontology Based Data Access on Temporal and Streaming Data

AU - Özçep, Özgür Lütfü

AU - Möller, Ralf

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N2 - Though processing time-dependent data has been investigated for a long time, the research on temporal and especially stream reasoning over linked open data and ontologies is reaching its high point these days. In this tutorial, we give an overview of state-of-the art query languages and engines for temporal and stream reasoning. On a more detailed level, we discuss the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access). STARQL is designed as an expressive and flexible stream query framework that offers the possibility to embed different (temporal) description logics as filter query languages over ontologies, and hence it can be used within the OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).

AB - Though processing time-dependent data has been investigated for a long time, the research on temporal and especially stream reasoning over linked open data and ontologies is reaching its high point these days. In this tutorial, we give an overview of state-of-the art query languages and engines for temporal and stream reasoning. On a more detailed level, we discuss the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access). STARQL is designed as an expressive and flexible stream query framework that offers the possibility to embed different (temporal) description logics as filter query languages over ontologies, and hence it can be used within the OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).

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T3 - Lecture Notes in Computer Science

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BT - Reasoning Web. Reasoning on the Web in the Big Data Era: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings

A2 - Koubarakis, Manolis

A2 - Stamou, Giorgos

A2 - Stoilos, Giorgos

A2 - Horrocks, Ian

A2 - Kolaitis, Phokion

A2 - Lausen, Georg

A2 - Weikum, Gerhard

PB - Springer International Publishing

CY - Cham

T2 - 10th International Summer School 2014 in Reasoning Web: Reasoning on the Web in the Big Data Era

Y2 - 8 September 2014 through 13 September 2014

ER -

Özçep ÖL , Möller R. Ontology Based Data Access on Temporal and Streaming Data. in Koubarakis M, Stamou G, Stoilos G, Horrocks I, Kolaitis P, Lausen G, Weikum G, Hrsg., Reasoning Web. Reasoning on the Web in the Big Data Era: 10th International Summer School 2014, Athens, Greece, September 8-13, 2014. Proceedings. Band 8714. Cham: Springer International Publishing. 2014. S. 279-312. ( Lecture Notes in Computer Science ). doi: 10.1007/978-3-319-10587-1_7

Ontology Based Data Access on Temporal and Streaming Data

Abstract

UN SDGs

DFG-Fachsystematik

Dokumente

Weitere Links

Fingerprint

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