Standard
Requirements to modern semantic search engine. /
Usbeck, Ricardo; Röder, Michael; Haase, Peter et al.
Knowledge Engineering and Semantic Web - 7th International Conference, KESW 2016, Proceedings. Hrsg. / Axel-Cyrille Ngonga Ngomo; Petr Křemen. Springer Nature Switzerland AG, 2016. S. 328-343 (Communications in Computer and Information Science; Band 649).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
Usbeck, R, Röder, M, Haase, P, Kozlov, A, Saleem, M & Ngonga Ngomo, AC 2016,
Requirements to modern semantic search engine. in A-CN Ngomo & P Křemen (Hrsg.),
Knowledge Engineering and Semantic Web - 7th International Conference, KESW 2016, Proceedings. Communications in Computer and Information Science, Bd. 649, Springer Nature Switzerland AG, S. 328-343, 7th International Conference on Knowledge Engineering and Semantic Web, KESW 2016, Prague, Tschechische Republik,
21.09.16.
https://doi.org/10.1007/978-3-319-45880-9_25
APA
Usbeck, R., Röder, M., Haase, P., Kozlov, A., Saleem, M., & Ngonga Ngomo, A. C. (2016).
Requirements to modern semantic search engine. In A.-C. N. Ngomo, & P. Křemen (Hrsg.),
Knowledge Engineering and Semantic Web - 7th International Conference, KESW 2016, Proceedings (S. 328-343). (Communications in Computer and Information Science; Band 649). Springer Nature Switzerland AG.
https://doi.org/10.1007/978-3-319-45880-9_25
Vancouver
Usbeck R, Röder M, Haase P, Kozlov A, Saleem M, Ngonga Ngomo AC.
Requirements to modern semantic search engine. in Ngomo ACN, Křemen P, Hrsg., Knowledge Engineering and Semantic Web - 7th International Conference, KESW 2016, Proceedings. Springer Nature Switzerland AG. 2016. S. 328-343. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-45880-9_25
Bibtex
@inbook{312826b575b04183a889c455e3a01dff,
title = "Requirements to modern semantic search engine",
abstract = "Since the introduction of computing machines into companies and industries, searching large enterprise data is an open challenge including diverse and distributed datasets, missing alignment of vocabularies within divisions as well as data isolated in format silos. In this article, we report the requirements of commercial enterprises to the next generation of semantic search engine for large, distributed data. We describe our elicitation process to gather end user requirements, the challenges arising for real-world use cases as well as how such an implementation of this paradigm can be benchmarked. In the end, we present the design of the DIESEL search engine, which aims to implement the requirements of commercial enterprise to semantic search.",
keywords = "Informatics, Business informatics",
author = "Ricardo Usbeck and Michael R{\"o}der and Peter Haase and Artem Kozlov and Muhammad Saleem and {Ngonga Ngomo}, {Axel Cyrille}",
note = "This work has been supported by Eurostars projects DIESEL (E!9367) and QAMEL (E!9725) as well as the European Union{\textquoteright}s H2020 research and innovation action HOBBIT (GA 688227). Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 7th International Conference on Knowledge Engineering and Semantic Web, KESW 2016, KESW 2016 ; Conference date: 21-09-2016 Through 23-09-2016",
year = "2016",
month = sep,
day = "6",
doi = "10.1007/978-3-319-45880-9_25",
language = "English",
isbn = "978-3-319-45879-3",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature Switzerland AG",
pages = "328--343",
editor = "Ngomo, {Axel-Cyrille Ngonga} and Petr K{\v r}emen",
booktitle = "Knowledge Engineering and Semantic Web - 7th International Conference, KESW 2016, Proceedings",
address = "Switzerland",
url = "https://dblp.org/rec/conf/kesw/2016.html",
}
RIS
TY - CHAP
T1 - Requirements to modern semantic search engine
AU - Usbeck, Ricardo
AU - Röder, Michael
AU - Haase, Peter
AU - Kozlov, Artem
AU - Saleem, Muhammad
AU - Ngonga Ngomo, Axel Cyrille
N1 - Conference code: 7
PY - 2016/9/6
Y1 - 2016/9/6
N2 - Since the introduction of computing machines into companies and industries, searching large enterprise data is an open challenge including diverse and distributed datasets, missing alignment of vocabularies within divisions as well as data isolated in format silos. In this article, we report the requirements of commercial enterprises to the next generation of semantic search engine for large, distributed data. We describe our elicitation process to gather end user requirements, the challenges arising for real-world use cases as well as how such an implementation of this paradigm can be benchmarked. In the end, we present the design of the DIESEL search engine, which aims to implement the requirements of commercial enterprise to semantic search.
AB - Since the introduction of computing machines into companies and industries, searching large enterprise data is an open challenge including diverse and distributed datasets, missing alignment of vocabularies within divisions as well as data isolated in format silos. In this article, we report the requirements of commercial enterprises to the next generation of semantic search engine for large, distributed data. We describe our elicitation process to gather end user requirements, the challenges arising for real-world use cases as well as how such an implementation of this paradigm can be benchmarked. In the end, we present the design of the DIESEL search engine, which aims to implement the requirements of commercial enterprise to semantic search.
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=84988578995&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-45880-9_25
DO - 10.1007/978-3-319-45880-9_25
M3 - Article in conference proceedings
AN - SCOPUS:84988578995
SN - 978-3-319-45879-3
T3 - Communications in Computer and Information Science
SP - 328
EP - 343
BT - Knowledge Engineering and Semantic Web - 7th International Conference, KESW 2016, Proceedings
A2 - Ngomo, Axel-Cyrille Ngonga
A2 - Křemen, Petr
PB - Springer Nature Switzerland AG
T2 - 7th International Conference on Knowledge Engineering and Semantic Web, KESW 2016
Y2 - 21 September 2016 through 23 September 2016
ER -
