CubeQA—question answering on RDF data cubes

Konrad Höffner; Jens Lehmann; Ricardo Usbeck

doi:10.1007/978-3-319-46523-4_20

CubeQA—question answering on RDF data cubes

Konrad Höffner^*
, Jens Lehmann
, Ricardo Usbeck

^*Corresponding author for this work

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

19 Citations (Scopus)

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.

Original language	English
Title of host publication	The Semantic Web – ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I
Editors	Paul Groth, Elena Simperl, Alasdair Gray, Marta Sabou, Markus Krotzsch, Freddy Lecue, Freddy Lecue, Fabian Flock, Yolanda Gil
Number of pages	16
Publisher	Springer-Verlag Wien
Publication date	01.01.2016
Pages	325-340
ISBN (Print)	978-3-319-46522-7
ISBN (Electronic)	978-3-319-46523-4
DOIs	https://doi.org/10.1007/978-3-319-46523-4_20
Publication status	Published - 01.01.2016
Externally published	Yes
Event	15th International Semantic Web Conference, ISWC 2016 - Kobe, Japan Duration: 17.10.2016 → 21.10.2016 Conference number: 15 https://iswc2016.semanticweb.org/

Bibliographical note

This work was supported by a grant from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).

Publisher Copyright:
© Springer International Publishing AG 2016.

Research areas and keywords

Informatics
Business informatics

Access to Document

10.1007/978-3-319-46523-4_20Licence: In Copyright

Cite this

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_20

Höffner, Konrad ; Lehmann, Jens ; Usbeck, Ricardo. / CubeQA—question answering on RDF data cubes. The Semantic Web – ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I. editor / Paul Groth ; Elena Simperl ; Alasdair Gray ; Marta Sabou ; Markus Krotzsch ; Freddy Lecue ; Freddy Lecue ; Fabian Flock ; Yolanda Gil. Springer-Verlag Wien, 2016. pp. 325-340 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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_20

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

TY - CHAP

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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.

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KW - Business informatics

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DO - 10.1007/978-3-319-46523-4_20

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SN - 978-3-319-46522-7

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

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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 - 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 -

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

CubeQA—question answering on RDF data cubes

Abstract

Bibliographical note

Research areas and keywords

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Cite this