Standard
CubeQA—question answering on RDF data cubes. / Höffner, Konrad; Lehmann, Jens
; Usbeck, Ricardo.
The Semantic Web – ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. ed. / Paul Groth; Elena Simperl; Alasdair Gray; Marta Sabou; Markus Krotzsch; Freddy Lecue; Freddy Lecue; Fabian Flock; Yolanda Gil. Springer-Verlag Wien, 2016. p. 325-340 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9981 LNCS).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Höffner, K, Lehmann, J
& Usbeck, R 2016,
CubeQA—question answering on RDF data cubes. in P Groth, E Simperl, A Gray, M Sabou, M Krotzsch, F Lecue, F Lecue, F Flock & Y Gil (eds),
The Semantic Web – ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9981 LNCS, Springer-Verlag Wien, pp. 325-340, 15th International Semantic Web Conference, ISWC 2016, Kobe, Japan,
17.10.16.
https://doi.org/10.1007/978-3-319-46523-4_20APA
Höffner, K., Lehmann, J.
, & Usbeck, R. (2016).
CubeQA—question answering on RDF data cubes. In P. Groth, E. Simperl, A. Gray, M. Sabou, M. Krotzsch, F. Lecue, F. Lecue, F. Flock, & Y. Gil (Eds.),
The Semantic Web – ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I (pp. 325-340). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9981 LNCS). Springer-Verlag Wien.
https://doi.org/10.1007/978-3-319-46523-4_20Vancouver
Höffner K, Lehmann J
, Usbeck R.
CubeQA—question answering on RDF data cubes. In Groth P, Simperl E, Gray A, Sabou M, Krotzsch M, Lecue F, Lecue F, Flock F, Gil Y, editors, The Semantic Web – ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. Springer-Verlag Wien. 2016. p. 325-340. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46523-4_20
Bibtex
@inbook{90f1ac5db4b5416b94331a305b3e2b56,
title = "CubeQA—question answering on RDF data cubes",
abstract = "Statistical data in the form of RDF Data Cubes is becoming increasingly valuable as it influences decisions in areas such as health care, policy and finance. While a growing amount is becoming freely available through the open data movement, this data is opaque to laypersons. Semantic Question Answering (SQA) technologies provide intuitive access via free-form natural language queries but general SQA systems cannot process RDF Data Cubes. On the intersection between RDF Data Cubes and SQA, we create a new subfield of SQA, called RDCQA. We create an RDQCA benchmark as task 3 of the QALD-6 evaluation challenge, to stimulate further research and enable quantitative comparison between RDCQA systems. We design and evaluate the domain independent CubeQA algorithm, which is the first RDCQA system and achieves a global F1 score of 0.43 on the QALD6T3-test benchmark, showing that RDCQA is feasible.",
keywords = "Informatics, Business informatics",
author = "Konrad H{\"o}ffner and Jens Lehmann and Ricardo Usbeck",
note = "This work was supported by a grant from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227). Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 15th International Semantic Web Conference, ISWC 2016, ISWC 2016 ; Conference date: 17-10-2016 Through 21-10-2016",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-319-46523-4_20",
language = "English",
isbn = "978-3-319-46522-7",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Wien",
pages = "325--340",
editor = "Paul Groth and Elena Simperl and Alasdair Gray and Marta Sabou and Markus Krotzsch and Freddy Lecue and Freddy Lecue and Fabian Flock and Yolanda Gil",
booktitle = "The Semantic Web – ISWC 2016",
address = "Austria",
url = "https://iswc2016.semanticweb.org/",
}
RIS
TY - CHAP
T1 - CubeQA—question answering on RDF data cubes
AU - Höffner, Konrad
AU - Lehmann, Jens
AU - Usbeck, Ricardo
N1 - Conference code: 15
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Statistical data in the form of RDF Data Cubes is becoming increasingly valuable as it influences decisions in areas such as health care, policy and finance. While a growing amount is becoming freely available through the open data movement, this data is opaque to laypersons. Semantic Question Answering (SQA) technologies provide intuitive access via free-form natural language queries but general SQA systems cannot process RDF Data Cubes. On the intersection between RDF Data Cubes and SQA, we create a new subfield of SQA, called RDCQA. We create an RDQCA benchmark as task 3 of the QALD-6 evaluation challenge, to stimulate further research and enable quantitative comparison between RDCQA systems. We design and evaluate the domain independent CubeQA algorithm, which is the first RDCQA system and achieves a global F1 score of 0.43 on the QALD6T3-test benchmark, showing that RDCQA is feasible.
AB - Statistical data in the form of RDF Data Cubes is becoming increasingly valuable as it influences decisions in areas such as health care, policy and finance. While a growing amount is becoming freely available through the open data movement, this data is opaque to laypersons. Semantic Question Answering (SQA) technologies provide intuitive access via free-form natural language queries but general SQA systems cannot process RDF Data Cubes. On the intersection between RDF Data Cubes and SQA, we create a new subfield of SQA, called RDCQA. We create an RDQCA benchmark as task 3 of the QALD-6 evaluation challenge, to stimulate further research and enable quantitative comparison between RDCQA systems. We design and evaluate the domain independent CubeQA algorithm, which is the first RDCQA system and achieves a global F1 score of 0.43 on the QALD6T3-test benchmark, showing that RDCQA is feasible.
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=84992533287&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/146cc2e7-011a-3a75-86d1-1adf6a78c437/
U2 - 10.1007/978-3-319-46523-4_20
DO - 10.1007/978-3-319-46523-4_20
M3 - Article in conference proceedings
AN - SCOPUS:84992533287
SN - 978-3-319-46522-7
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 325
EP - 340
BT - The Semantic Web – ISWC 2016
A2 - Groth, Paul
A2 - Simperl, Elena
A2 - Gray, Alasdair
A2 - Sabou, Marta
A2 - Krotzsch, Markus
A2 - Lecue, Freddy
A2 - Lecue, Freddy
A2 - Flock, Fabian
A2 - Gil, Yolanda
PB - Springer-Verlag Wien
T2 - 15th International Semantic Web Conference, ISWC 2016
Y2 - 17 October 2016 through 21 October 2016
ER -
