Combining linked data and statistical information retrieval: Next generation information systems

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

Being a part of the Information Age, users are challenged with a tremendously growing amount of Web data which generates a need for more sophisticated information retrieval systems. The Semantic Web provides necessary procedures to augment the highly unstructured Web with suitable metadata in order to leverage search quality and user experience. In this article, we will outline an approach for creating a web-scale, precise and efficient information system capable of understanding keyword, entity and natural language queries. By using Semantic Web methods and Linked Data the doctoral work will present how the underlying knowledge is created and elaborated searches can be performed on top.

OriginalspracheEnglisch
TitelThe Semantic Web : Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings
HerausgeberValentina Presutti, Claudia d'Amato, Fabien Gandon, Matthieu d'Aquin, Steffen Staab, Anna Tordai
Anzahl der Seiten10
VerlagSpringer-Verlag Wien
Erscheinungsdatum01.01.2014
Seiten845-854
ISBN (Print)978-3-319-07442-9
ISBN (elektronisch)978-3-319-07443-6
DOIs
PublikationsstatusErschienen - 01.01.2014
Extern publiziertJa
Veranstaltung11th International Conference on Semantic Web: Trends and Challenges - Anissaras, Crete, Griechenland
Dauer: 25.05.201429.05.2014
Konferenznummer: 11
https://2014.eswc-conferences.org/index.html

DOI

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Forschende

  1. Marcus Erben

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