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An incomplete and simplifying introduction to linked data

Research output: Contributions to collected editions/works › Chapter › peer-review

Standard

An incomplete and simplifying introduction to linked data. / Jentzsch, Anja; Usbeck, Ricardo; Vrandečić, Denny.
Perspectives on Ontology Learning. ed. / Jens Lehmann; Johanna Völker. Vol. 18 IOS Press BV, 2014. p. 21-34 (Studies on the Semantic Web; Vol. 18).

Research output: Contributions to collected editions/works › Chapter › peer-review

Harvard

Jentzsch, A, Usbeck, R & Vrandečić, D 2014, An incomplete and simplifying introduction to linked data. in J Lehmann & J Völker (eds), Perspectives on Ontology Learning. vol. 18, Studies on the Semantic Web, vol. 18, IOS Press BV, pp. 21-34. https://doi.org/10.3233/978-1-61499-379-7-i

APA

Jentzsch, A., Usbeck, R., & Vrandečić, D. (2014). An incomplete and simplifying introduction to linked data. In J. Lehmann, & J. Völker (Eds.), Perspectives on Ontology Learning (Vol. 18, pp. 21-34). (Studies on the Semantic Web; Vol. 18). IOS Press BV. https://doi.org/10.3233/978-1-61499-379-7-i

Vancouver

Jentzsch A, Usbeck R, Vrandečić D. An incomplete and simplifying introduction to linked data. In Lehmann J, Völker J, editors, Perspectives on Ontology Learning. Vol. 18. IOS Press BV. 2014. p. 21-34. (Studies on the Semantic Web). doi: 10.3233/978-1-61499-379-7-i

Bibtex

@inbook{6cc26e24f51641d39e9fb97ec6938e91,
title = "An incomplete and simplifying introduction to linked data",
abstract = "Linked Data is becoming an increasingly popular method to publish data. It is based on a simple set of rules and a number of widely adopted standards. This introductory article aims at capturing the simplicity of Linked Data, and the concepts behind the related standards. It will help the reader to understand the basic elements of Linked Data and its related technologies. Using the example of a calendar app, we will highlight the practical advantages of using Linked Data for writing apps and publishing data in a completely decoupled way.",
keywords = "Informatics, Business informatics",
author = "Anja Jentzsch and Ricardo Usbeck and Denny Vrande{\v c}i{\'c}",
year = "2014",
month = apr,
day = "3",
doi = "10.3233/978-1-61499-379-7-i",
language = "English",
isbn = "978-1-61499-378-0",
volume = "18",
series = "Studies on the Semantic Web",
publisher = "IOS Press BV",
pages = "21--34",
editor = "Jens Lehmann and Johanna V{\"o}lker",
booktitle = "Perspectives on Ontology Learning",
address = "Netherlands",

}

RIS

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T1 - An incomplete and simplifying introduction to linked data

AU - Jentzsch, Anja

AU - Usbeck, Ricardo

AU - Vrandečić, Denny

PY - 2014/4/3

Y1 - 2014/4/3

N2 - Linked Data is becoming an increasingly popular method to publish data. It is based on a simple set of rules and a number of widely adopted standards. This introductory article aims at capturing the simplicity of Linked Data, and the concepts behind the related standards. It will help the reader to understand the basic elements of Linked Data and its related technologies. Using the example of a calendar app, we will highlight the practical advantages of using Linked Data for writing apps and publishing data in a completely decoupled way.

AB - Linked Data is becoming an increasingly popular method to publish data. It is based on a simple set of rules and a number of widely adopted standards. This introductory article aims at capturing the simplicity of Linked Data, and the concepts behind the related standards. It will help the reader to understand the basic elements of Linked Data and its related technologies. Using the example of a calendar app, we will highlight the practical advantages of using Linked Data for writing apps and publishing data in a completely decoupled way.

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=84928093502&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-379-7-i

DO - 10.3233/978-1-61499-379-7-i

M3 - Chapter

AN - SCOPUS:84928093502

SN - 978-1-61499-378-0

VL - 18

T3 - Studies on the Semantic Web

SP - 21

EP - 34

BT - Perspectives on Ontology Learning

A2 - Lehmann, Jens

A2 - Völker, Johanna

PB - IOS Press BV

ER -

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Möller, C. & Usbeck, R., 2025, The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025 Portoroz, Slovenia, June 1–5, 2025 Proceedings, Part I. Curry, E., Acosta, M., Poveda-Villalón, M., van Erp, M., Ojo, A., Hose, K., Shimizu, C. & Lisena, P. (eds.). Cham: Springer Nature Switzerland AG, Vol. 1. p. 460-480 21 p. (Lecture Notes in Computer Science ; vol. 15718).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Bridge-Generate: Scholarly Hybrid Question Answering

Taffa, T. A. & Usbeck, R., 2025, WWW Companion’25: Companion Proceedings of the ACM Web Conference 2025, April 28-May 2, 2025 Sydney, NSW, Australia. Long, G., Blumestein, M., Chang, Y., Lewin-Eytan, L., Huang, H. & Yom-Tov, E. (eds.). New York: Association for Computing Machinery, Inc, p. 1321-1325 5 p.

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Junior fellows and distinguished dissertation of the GI and AI for crisis

Usbeck, R., Kraft, A. & Westphal, P., 01.02.2025, In: IT - Information Technology. 67, 1, p. 1-2 2 p.

Research output: Journal contributions › Other (editorial matter etc.) › Research

Knowledge Graph Question Answering and Large Language Models

Banerjee, D., Hu, N., Tan, Y., Min, D., Wu, Y., Usbeck, R. & Qi, G., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 466-531 66 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).

Research output: Contributions to collected editions/works › Chapter

Neuro-Symbolic Relation Extraction

Yan, X., Usmanova, A., Möller, C., Westphal, P. & Usbeck, R., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 550-576 27 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).

Research output: Contributions to collected editions/works › Chapter

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