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pro vyhledávání: '"Angele, Kevin"'
Schema.org is a widely adopted vocabulary for semantic annotation of content and data. However, its generic nature makes it complicated for data publishers to pick right types and properties for a specific domain and task. In this paper we propose a
Externí odkaz:
http://arxiv.org/abs/1906.06492
Autor:
Aghaei, Sareh1 (AUTHOR) kevin.angele@sti2.at, Angele, Kevin1 (AUTHOR) elwin.huaman@sti2.at, Huaman, Elwin1 (AUTHOR) geni.bushati@sti2.at, Bushati, Geni1 (AUTHOR) csat8202@student.uibk.ac.at, Schiestl, Mathias1 (AUTHOR) anna.fensel@sti2.at, Fensel, Anna1,2,3 (AUTHOR)
Publikováno v:
Information (2078-2489). Jul2022, Vol. 13 Issue 7, p324-324. 33p.
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022. Association for Computing Machinery
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022. Association for Computing Machinery
In recent years, knowledge graphs have become widely adopted for storing and managing vast amounts of data, powering various applications. However, SPARQL as the query language for accessing those knowledge graphs has a steep learning curve and is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b257da4af693f569cf2d7e6775d10eeb
https://research.wur.nl/en/publications/graphsparql-a-graphql-interface-for-linked-data
https://research.wur.nl/en/publications/graphsparql-a-graphql-interface-for-linked-data
Schema.org is a widely adopted vocabulary for semantic annotation of content and data. However, its generic nature makes it complicated for data publishers to pick right types and properties for a specific domain and task. In this paper we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c284b6061051b0edc43eadb362532e6
http://arxiv.org/abs/1906.06492
http://arxiv.org/abs/1906.06492
Autor:
Angele, Kevin
Es wird prognostiziert, dass in Zukunft die Hälfte der Firmenausgaben für mobile Anwendungen in die Entwicklung von Chatbots oder intelligenten Assistenten iet. In diesem Bereich benötigt es zur Zeit viel manuelle Arbeit zur Modellierung von Beisp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9497a69893bfe190febd7ad7a79ecf8
https://publikationen.bibliothek.kit.edu/1000089247/21502396
https://publikationen.bibliothek.kit.edu/1000089247/21502396
Autor:
Simsek, Umutcan, Kärle, Elias, Angele, Kevin, Huaman, Elwin, Opdenplatz, Juliette, Sommer, Dennis, Umbrich, Jürgen, Fensel, Dieter
Publikováno v:
SN Computer Science; January 2023, Vol. 4 Issue: 1