Standard
HAWK - hybrid question answering using linked data. /
Usbeck, Ricardo; Ngomo, Axel Cyrille Ngonga; Bühmann, Lorenz et al.
The Semantic Web: Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015, Proceedings. Hrsg. / Fabien Gandon; Harald Sack; Antoine Zimmermann; Marta Sabou; Claudia d’Amato; Philippe Cudré-Mauroux. Springer Nature Switzerland AG, 2015. S. 353-368 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9088).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
Usbeck, R, Ngomo, ACN, Bühmann, L & Unger, C 2015,
HAWK - hybrid question answering using linked data. in F Gandon, H Sack, A Zimmermann, M Sabou, C d’Amato & P Cudré-Mauroux (Hrsg.),
The Semantic Web: Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 9088, Springer Nature Switzerland AG, S. 353-368, 12th European Semantic Web Conference - ESWC 2015, Portoroz, Slowenien,
31.05.15.
https://doi.org/10.1007/978-3-319-18818-8_22
APA
Usbeck, R., Ngomo, A. C. N., Bühmann, L., & Unger, C. (2015).
HAWK - hybrid question answering using linked data. In F. Gandon, H. Sack, A. Zimmermann, M. Sabou, C. d’Amato, & P. Cudré-Mauroux (Hrsg.),
The Semantic Web: Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015, Proceedings (S. 353-368). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9088). Springer Nature Switzerland AG.
https://doi.org/10.1007/978-3-319-18818-8_22
Vancouver
Usbeck R, Ngomo ACN, Bühmann L, Unger C.
HAWK - hybrid question answering using linked data. in Gandon F, Sack H, Zimmermann A, Sabou M, d’Amato C, Cudré-Mauroux P, Hrsg., The Semantic Web: Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015, Proceedings. Springer Nature Switzerland AG. 2015. S. 353-368. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-18818-8_22
Bibtex
@inbook{e88eccf4361848f1a89353b85d1a93e6,
title = "HAWK - hybrid question answering using linked data",
abstract = "The decentral architecture behind the Web has led to pieces of information being distributed across data sources with varying structure. Hence, answering complex questions often requires combining information from structured and unstructured data sources. We present HAWK, a novel entity search approach for Hybrid Question Answering based on combining Linked Data and textual data. The approach uses predicate argument representations of questions to derive equivalent combinations of SPARQL query fragments and text queries. These are executed so as to integrate the results of the text queries into SPARQL and thus generate a formal interpretation of the query. We present a thorough evaluation of the framework, including an analysis of the influence of entity annotation tools on the generation process of the hybrid queries and a study of the overall accuracy of the system. Our results show that HAWK achieves 0.68 respectively 0.61 F-measure within the training respectively test phases on the Question Answering over Linked Data (QALD-4) hybrid query benchmark.",
keywords = "Informatics, Business informatics",
author = "Ricardo Usbeck and Ngomo, {Axel Cyrille Ngonga} and Lorenz B{\"u}hmann and Christina Unger",
note = "This work has been supported by the ESF, the Free State of Saxony and the FP7 project GeoKnow (GA No. 318159) Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 12th European Semantic Web Conference - ESWC 2015, ESWC 2015 ; Conference date: 31-05-2015 Through 04-06-2015",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-18818-8_22",
language = "English",
isbn = "978-3-319-18817-1",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature Switzerland AG",
pages = "353--368",
editor = "Fabien Gandon and Harald Sack and Antoine Zimmermann and Marta Sabou and Claudia d{\textquoteright}Amato and Philippe Cudr{\'e}-Mauroux",
booktitle = "The Semantic Web",
address = "Switzerland",
url = "https://2015.eswc-conferences.org/index.html, https://2015.eswc-conferences.org/call-challenges.html",
}
RIS
TY - CHAP
T1 - HAWK - hybrid question answering using linked data
AU - Usbeck, Ricardo
AU - Ngomo, Axel Cyrille Ngonga
AU - Bühmann, Lorenz
AU - Unger, Christina
N1 - Conference code: 12
PY - 2015/1/1
Y1 - 2015/1/1
N2 - The decentral architecture behind the Web has led to pieces of information being distributed across data sources with varying structure. Hence, answering complex questions often requires combining information from structured and unstructured data sources. We present HAWK, a novel entity search approach for Hybrid Question Answering based on combining Linked Data and textual data. The approach uses predicate argument representations of questions to derive equivalent combinations of SPARQL query fragments and text queries. These are executed so as to integrate the results of the text queries into SPARQL and thus generate a formal interpretation of the query. We present a thorough evaluation of the framework, including an analysis of the influence of entity annotation tools on the generation process of the hybrid queries and a study of the overall accuracy of the system. Our results show that HAWK achieves 0.68 respectively 0.61 F-measure within the training respectively test phases on the Question Answering over Linked Data (QALD-4) hybrid query benchmark.
AB - The decentral architecture behind the Web has led to pieces of information being distributed across data sources with varying structure. Hence, answering complex questions often requires combining information from structured and unstructured data sources. We present HAWK, a novel entity search approach for Hybrid Question Answering based on combining Linked Data and textual data. The approach uses predicate argument representations of questions to derive equivalent combinations of SPARQL query fragments and text queries. These are executed so as to integrate the results of the text queries into SPARQL and thus generate a formal interpretation of the query. We present a thorough evaluation of the framework, including an analysis of the influence of entity annotation tools on the generation process of the hybrid queries and a study of the overall accuracy of the system. Our results show that HAWK achieves 0.68 respectively 0.61 F-measure within the training respectively test phases on the Question Answering over Linked Data (QALD-4) hybrid query benchmark.
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=84937407730&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c03135ec-f5c6-3f8e-b1a3-5d8cd6c954f8/
U2 - 10.1007/978-3-319-18818-8_22
DO - 10.1007/978-3-319-18818-8_22
M3 - Article in conference proceedings
AN - SCOPUS:84937407730
SN - 978-3-319-18817-1
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 353
EP - 368
BT - The Semantic Web
A2 - Gandon, Fabien
A2 - Sack, Harald
A2 - Zimmermann, Antoine
A2 - Sabou, Marta
A2 - d’Amato, Claudia
A2 - Cudré-Mauroux, Philippe
PB - Springer Nature Switzerland AG
T2 - 12th European Semantic Web Conference - ESWC 2015
Y2 - 31 May 2015 through 4 June 2015
ER -
