QAestro: Semantic-Based Composition of Question Answering Pipelines

Kuldeep Singh; Ioanna Lytra; Maria Esther Vidal; Dharmen Punjani; Harsh Thakkar; Christoph Lange; Sören Auer

doi:10.1007/978-3-319-64468-4_2

QAestro: Semantic-Based Composition of Question Answering Pipelines

Kuldeep Singh
, Ioanna Lytra^*
, Maria Esther Vidal
, Dharmen Punjani
, Harsh Thakkar
, Christoph Lange
, Sören Auer

^*Corresponding author for this work

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Original language	English
Title of host publication	Database and Expert Systems Applications
Subtitle of host publication	28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I
Editors	Djamal Benslimane, Amit Sheth, Ernesto Damiani, Abdelkader Hameurlain, William I. Grosky, Roland R. Wagner
Place of Publication	Cham
Publisher	Springer Verlag
Pages	19-34
Number of pages	16
ISBN (Electronic)	9783319644684
ISBN (Print)	9783319644677
DOIs	https://doi.org/10.1007/978-3-319-64468-4_2
Publication status	Published - 1 Aug 2017
Externally published	Yes
Event	28th International Conference on Database and Expert Systems Applications, DEXA 2017 - Lyon, France Duration: 28 Aug 2017 → 31 Aug 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10438 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	28th International Conference on Database and Expert Systems Applications, DEXA 2017
Country/Territory	France
City	Lyon
Period	28 Aug 2017 → 31 Aug 2017

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-64468-4_2

Cite this

Singh, K., Lytra, I., Vidal, M. E., Punjani, D., Thakkar, H., Lange, C., & Auer, S. (2017). QAestro: Semantic-Based Composition of Question Answering Pipelines. In D. Benslimane, A. Sheth, E. Damiani, A. Hameurlain, W. I. Grosky, & R. R. Wagner (Eds.), Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I (pp. 19-34). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10438 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-64468-4_2

Singh, Kuldeep ; Lytra, Ioanna ; Vidal, Maria Esther et al. / QAestro : Semantic-Based Composition of Question Answering Pipelines. Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. editor / Djamal Benslimane ; Amit Sheth ; Ernesto Damiani ; Abdelkader Hameurlain ; William I. Grosky ; Roland R. Wagner. Cham : Springer Verlag, 2017. pp. 19-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "QAestro: Semantic-Based Composition of Question Answering Pipelines",

author = "Kuldeep Singh and Ioanna Lytra and Vidal, \{Maria Esther\} and Dharmen Punjani and Harsh Thakkar and Christoph Lange and S{\"o}ren Auer",

note = "Funding information:. Parts of this work received funding from the EU Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 642795 (WDAqua).; 28th International Conference on Database and Expert Systems Applications, DEXA 2017 ; Conference date: 28-08-2017 Through 31-08-2017",

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doi = "10.1007/978-3-319-64468-4\_2",

language = "English",

isbn = "9783319644677",

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

publisher = "Springer Verlag",

pages = "19--34",

editor = "Djamal Benslimane and Amit Sheth and Ernesto Damiani and Abdelkader Hameurlain and Grosky, \{William I.\} and Wagner, \{Roland R.\}",

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Singh, K, Lytra, I, Vidal, ME, Punjani, D, Thakkar, H, Lange, C & Auer, S 2017, QAestro: Semantic-Based Composition of Question Answering Pipelines. in D Benslimane, A Sheth, E Damiani, A Hameurlain, WI Grosky & RR Wagner (eds), Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10438 LNCS, Springer Verlag, Cham, pp. 19-34, 28th International Conference on Database and Expert Systems Applications, DEXA 2017, Lyon, France, 28 Aug 2017. https://doi.org/10.1007/978-3-319-64468-4_2

QAestro: Semantic-Based Composition of Question Answering Pipelines. / Singh, Kuldeep; Lytra, Ioanna; Vidal, Maria Esther et al.
Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. ed. / Djamal Benslimane; Amit Sheth; Ernesto Damiani; Abdelkader Hameurlain; William I. Grosky; Roland R. Wagner. Cham: Springer Verlag, 2017. p. 19-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10438 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

TY - GEN

T1 - QAestro

T2 - 28th International Conference on Database and Expert Systems Applications, DEXA 2017

AU - Singh, Kuldeep

AU - Lytra, Ioanna

AU - Vidal, Maria Esther

AU - Punjani, Dharmen

AU - Thakkar, Harsh

AU - Lange, Christoph

AU - Auer, Sören

N1 - Funding information:. Parts of this work received funding from the EU Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 642795 (WDAqua).

PY - 2017/8/1

Y1 - 2017/8/1

U2 - 10.1007/978-3-319-64468-4_2

DO - 10.1007/978-3-319-64468-4_2

M3 - Conference contribution

AN - SCOPUS:85028453923

SN - 9783319644677

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

SP - 19

EP - 34

BT - Database and Expert Systems Applications

A2 - Benslimane, Djamal

A2 - Sheth, Amit

A2 - Damiani, Ernesto

A2 - Hameurlain, Abdelkader

A2 - Grosky, William I.

A2 - Wagner, Roland R.

PB - Springer Verlag

CY - Cham

Y2 - 28 August 2017 through 31 August 2017

ER -

Singh K, Lytra I, Vidal ME, Punjani D, Thakkar H, Lange C et al. QAestro: Semantic-Based Composition of Question Answering Pipelines. In Benslimane D, Sheth A, Damiani E, Hameurlain A, Grosky WI, Wagner RR, editors, Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. Cham: Springer Verlag. 2017. p. 19-34. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-64468-4_2