QAestro: Semantic-Based Composition of Question Answering Pipelines

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

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

External Research Organisations

  • Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)
  • University of Bonn
  • University of Athens
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Details

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications
Subtitle of host publication28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I
EditorsDjamal Benslimane, Amit Sheth, Ernesto Damiani, Abdelkader Hameurlain, William I. Grosky, Roland R. Wagner
Place of PublicationCham
PublisherSpringer Verlag
Pages19-34
Number of pages16
ISBN (electronic)9783319644684
ISBN (print)9783319644677
Publication statusPublished - 1 Aug 2017
Externally publishedYes
Event28th International Conference on Database and Expert Systems Applications, DEXA 2017 - Lyon, France
Duration: 28 Aug 201731 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10438 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

ASJC Scopus subject areas

Cite this

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 proceedingConference contributionResearchpeer review

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
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 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
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",
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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

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

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