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

Ricardo Usbeck

doi:10.1007/978-3-319-07443-6_58

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

Ricardo Usbeck^*

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

9 Zitate (Scopus)

Abstract

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.

Originalsprache	Englisch
Titel	The Semantic Web : Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings
Redakteure/-innen	Valentina Presutti, Claudia d'Amato, Fabien Gandon, Matthieu d'Aquin, Steffen Staab, Anna Tordai
Seitenumfang	10
Herausgeber (Verlag)	Springer-Verlag Wien
Erscheinungsdatum	01.01.2014
Seiten	845-854
ISBN (Print)	978-3-319-07442-9
ISBN (elektronisch)	978-3-319-07443-6
DOIs	https://doi.org/10.1007/978-3-319-07443-6_58
Publikationsstatus	Erschienen - 01.01.2014
Extern publiziert	Ja
Veranstaltung	11th International Conference on Semantic Web: Trends and Challenges - Anissaras, Crete, Griechenland Dauer: 25.05.2014 → 29.05.2014 Konferenznummer: 11 https://2014.eswc-conferences.org/index.html

Fachgebiete und Schlagwörter

Informatik
Wirtschaftsinformatik

Zugriff auf Dokument

10.1007/978-3-319-07443-6_58Lizenz: Urheberrechtlich geschützt

Dieses zitieren

Usbeck, R. (2014). Combining linked data and statistical information retrieval: Next generation information systems. in V. Presutti, C. d'Amato, F. Gandon, M. d'Aquin, S. Staab, & A. Tordai (Hrsg.), The Semantic Web: Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings (S. 845-854). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8465 LNCS). Springer-Verlag Wien. https://doi.org/10.1007/978-3-319-07443-6_58

Usbeck, Ricardo. / Combining linked data and statistical information retrieval : Next generation information systems. The Semantic Web: Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings. Hrsg. / Valentina Presutti ; Claudia d'Amato ; Fabien Gandon ; Matthieu d'Aquin ; Steffen Staab ; Anna Tordai. Springer-Verlag Wien, 2014. S. 845-854 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inbook{7595e5a2baa64e29bb178e909fb76272,

title = "Combining linked data and statistical information retrieval: Next generation information systems",

abstract = "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.",

keywords = "NLP, Question Answering, Ranking, Search, Informatics, Business informatics",

author = "Ricardo Usbeck",

note = "{\textcopyright} 2014 Springer International Publishing Switzerland; 11th International Conference on Semantic Web: Trends and Challenges, ESWC 2014 ; Conference date: 25-05-2014 Through 29-05-2014",

year = "2014",

month = jan,

day = "1",

doi = "10.1007/978-3-319-07443-6\_58",

language = "English",

isbn = "978-3-319-07442-9",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer-Verlag Wien",

pages = "845--854",

editor = "Valentina Presutti and Claudia d'Amato and Fabien Gandon and Matthieu d'Aquin and Steffen Staab and Anna Tordai",

booktitle = "The Semantic Web",

address = "Austria",

url = "https://2014.eswc-conferences.org/index.html",

}

Usbeck, R 2014, Combining linked data and statistical information retrieval: Next generation information systems. in V Presutti, C d'Amato, F Gandon, M d'Aquin, S Staab & A Tordai (Hrsg.), The Semantic Web: Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 8465 LNCS, Springer-Verlag Wien, S. 845-854, 11th International Conference on Semantic Web: Trends and Challenges, Anissaras, Crete, Griechenland, 25.05.14. https://doi.org/10.1007/978-3-319-07443-6_58

Combining linked data and statistical information retrieval: Next generation information systems. / Usbeck, Ricardo.
The Semantic Web: Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings. Hrsg. / Valentina Presutti; Claudia d'Amato; Fabien Gandon; Matthieu d'Aquin; Steffen Staab; Anna Tordai. Springer-Verlag Wien, 2014. S. 845-854 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8465 LNCS).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

TY - CHAP

T1 - Combining linked data and statistical information retrieval

T2 - 11th International Conference on Semantic Web: Trends and Challenges

AU - Usbeck, Ricardo

N1 - Conference code: 11

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - NLP

KW - Question Answering

KW - Ranking

KW - Search

KW - Informatics

KW - Business informatics

UR - https://www.scopus.com/pages/publications/84902590463

UR - https://www.mendeley.com/catalogue/c43cd624-fd54-3e10-a595-ca3c73847ac8/

U2 - 10.1007/978-3-319-07443-6_58

DO - 10.1007/978-3-319-07443-6_58

M3 - Article in conference proceedings

AN - SCOPUS:84902590463

SN - 978-3-319-07442-9

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 845

EP - 854

BT - The Semantic Web

A2 - Presutti, Valentina

A2 - d'Amato, Claudia

A2 - Gandon, Fabien

A2 - d'Aquin, Matthieu

A2 - Staab, Steffen

A2 - Tordai, Anna

PB - Springer-Verlag Wien

Y2 - 25 May 2014 through 29 May 2014

ER -

Usbeck R. Combining linked data and statistical information retrieval: Next generation information systems. in Presutti V, d'Amato C, Gandon F, d'Aquin M, Staab S, Tordai A, Hrsg., The Semantic Web: Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings. Springer-Verlag Wien. 2014. S. 845-854. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-07443-6_58

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

Abstract

Fachgebiete und Schlagwörter

Zugriff auf Dokument

Fingerprint

Dieses zitieren