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An incomplete and simplifying introduction to linked data

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

Authors

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.

Original languageEnglish
Title of host publicationPerspectives on Ontology Learning
EditorsJens Lehmann, Johanna Völker
Number of pages14
Volume18
PublisherIOS Press BV
Publication date03.04.2014
Pages21-34
ISBN (print)978-1-61499-378-0
ISBN (electronic)978-1-61499-379-7
DOIs
Publication statusPublished - 03.04.2014
Externally publishedYes

Other publications by the same author(s)

ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs

Salnikov, M., Sakhovskiy, A., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Tutubalina, E., Usbeck, R. & Panchenko, A., 2026, Natural Language Processing and Information Systems: 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Proceedings. Ichise, R. (ed.). Springer Science and Business Media Deutschland, p. 95-110 16 p. (Lecture Notes in Computer Science; vol. 15836 LNCS).

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

Analyzing the Influence of Knowledge Graph Information on Relation Extraction.

Möller, C. & Usbeck, R., 2025

Research output: other publications › Other › Research

Analyzing the Influence of Knowledge Graph Information on Relation Extraction

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

ASK-DBLP: Answering Questions over DBLP

Taffa, T., Neises, P., Ollinger, S., Westphal, P., Ackermann, M. R., Banerjee, D. & Usbeck, R., 02.11.2025, ISWC-C 2025, Industry, Doctoral Consortium, Posters and Demos at ISWC 2025: Joint Proceedings of Industry, Doctoral Consortium, Posters and Demos of the 24th International Semantic Web Conference (ISWC-C 2025), ISWC 2025 Companion Volume. Celino, I., Hassanzadeh, O., Bernstein, A., Noy, N., Cheng, G., Wang, S., Ferrada, S., Soulard, T., Kozaki, K., Takeda, H. & Gentile, A. L. (eds.). Aachen: Sun Site Central Europe (RWTH Aachen University), p. 435-440 6 p. D13. (CEUR Workshop Proceedings; vol. 4085).

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

Automating SPARQL Query Translations between DBpedia and Wikidata

Bartels, M. C., Banerjee, D. & Usbeck, R., 14.07.2025, Linking Meaning: Semantic Technologies Shaping the Future of AI: Cover 74617 Proceedings of the 21st International Conference on Semantic Systems, 3-5 September 2025, Vienna, Austria. Spahiu, B., Vahdati, S., Salatino, A., Pellegrini, T. & Havur, G. (eds.). IOS Press BV, p. 176-193 18 p. (Studies on the Semantic Web; vol. 62).

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

DOI

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