Requirements to modern semantic search engine

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Ricardo Usbeck
  • Michael Röder
  • Peter Haase
  • Artem Kozlov
  • Muhammad Saleem
  • Axel Cyrille Ngonga Ngomo

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.

Original languageEnglish
Title of host publicationKnowledge Engineering and Semantic Web - 7th International Conference, KESW 2016, Proceedings
EditorsAxel-Cyrille Ngonga Ngomo, Petr Křemen
Number of pages16
PublisherSpringer Nature Switzerland AG
Publication date06.09.2016
Pages328-343
ISBN (print)978-3-319-45879-3
ISBN (electronic)978-3-319-45880-9
DOIs
Publication statusPublished - 06.09.2016
Externally publishedYes
Event7th International Conference on Knowledge Engineering and Semantic Web, KESW 2016 - Prague, Czech Republic
Duration: 21.09.201623.09.2016
Conference number: 7
https://dblp.org/rec/conf/kesw/2016.html

Bibliographical note

This work has been supported by Eurostars projects DIESEL (E!9367) and QAMEL (E!9725) as well as the European Union’s H2020 research and innovation action HOBBIT (GA 688227).

Publisher Copyright:
© Springer International Publishing Switzerland 2016.