1. //
  2. Start
  3. //
  4. Publications
  5. The Scalable Question Answering Over Lin...
  6. Output formats
  7. //

The Scalable Question Answering Over Linked Data (SQA) Challenge 2018

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

Standard

The Scalable Question Answering Over Linked Data (SQA) Challenge 2018. / Napolitano, Giulio; Usbeck, Ricardo; Ngomo, Axel Cyrille Ngonga.
Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Revised Selected Papers. ed. / Diego Reforgiato Recupero; Aldo Gangemi; Davide Buscaldi. Springer-Verlag Wien, 2018. p. 69-75 (Communications in Computer and Information Science; Vol. 927).

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

Harvard

Napolitano, G, Usbeck, R & Ngomo, ACN 2018, The Scalable Question Answering Over Linked Data (SQA) Challenge 2018. in D Reforgiato Recupero, A Gangemi & D Buscaldi (eds), Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 927, Springer-Verlag Wien, pp. 69-75, 5th Semantic Web Evaluation Challenge, SemWebEval 2018, co-located with the 15th European Semantic Web conference - ESWC 2018, Heraklion, Greece, 03.06.18. https://doi.org/10.1007/978-3-030-00072-1_6

APA

Napolitano, G., Usbeck, R., & Ngomo, A. C. N. (2018). The Scalable Question Answering Over Linked Data (SQA) Challenge 2018. In D. Reforgiato Recupero, A. Gangemi, & D. Buscaldi (Eds.), Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Revised Selected Papers (pp. 69-75). (Communications in Computer and Information Science; Vol. 927). Springer-Verlag Wien. https://doi.org/10.1007/978-3-030-00072-1_6

Vancouver

Napolitano G, Usbeck R, Ngomo ACN. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018. In Reforgiato Recupero D, Gangemi A, Buscaldi D, editors, Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Revised Selected Papers. Springer-Verlag Wien. 2018. p. 69-75. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-00072-1_6

Bibtex

@inbook{c8b8c39c5e314787acd105823a7dfdba,
title = "The Scalable Question Answering Over Linked Data (SQA) Challenge 2018",
abstract = "Question answering (QA) systems, which source answers to natural language questions from Semantic Web data, have recently shifted from the research realm to become commercially viable products. Increasing investments have refined an interaction paradigm that allows end users to profit from the expressive power of Semantic Web standards, while at the same time hiding their complexity behind intuitive and easy-to-use interfaces. Not surprisingly, after the first excitement we did not witness a cooling-down phenomenon: regular interactions with question answering systems have become more and more natural. As consumers expectations around the capabilities of systems able to answer questions formulated in natural language keep growing, so is the availability of such systems in various settings, devices and languages. Increasing usage in real (non-experimental) settings have boosted the demand for resilient systems, which can cope with high volume demand.",
keywords = "Informatics, Business informatics",
author = "Giulio Napolitano and Ricardo Usbeck and Ngomo, {Axel Cyrille Ngonga}",
note = "This work was supported by the European Union{\textquoteright}s H2020 research and innovation action HOBBIT under the Grant Agreement number 688227 Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 5th Semantic Web Evaluation Challenge, SemWebEval 2018, co-located with the 15th European Semantic Web conference - ESWC 2018, ESWC 2018 ; Conference date: 03-06-2018 Through 07-06-2018",
year = "2018",
doi = "10.1007/978-3-030-00072-1_6",
language = "English",
isbn = "978-3-030-00071-4",
series = "Communications in Computer and Information Science",
publisher = "Springer-Verlag Wien",
pages = "69--75",
editor = "{Reforgiato Recupero}, Diego and Aldo Gangemi and Davide Buscaldi",
booktitle = "Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Revised Selected Papers",
address = "Austria",
url = "https://link.springer.com/book/10.1007/978-3-030-00072-1",

}

RIS

TY - CHAP

T1 - The Scalable Question Answering Over Linked Data (SQA) Challenge 2018

AU - Napolitano, Giulio

AU - Usbeck, Ricardo

AU - Ngomo, Axel Cyrille Ngonga

N1 - Conference code: 5

PY - 2018

Y1 - 2018

N2 - Question answering (QA) systems, which source answers to natural language questions from Semantic Web data, have recently shifted from the research realm to become commercially viable products. Increasing investments have refined an interaction paradigm that allows end users to profit from the expressive power of Semantic Web standards, while at the same time hiding their complexity behind intuitive and easy-to-use interfaces. Not surprisingly, after the first excitement we did not witness a cooling-down phenomenon: regular interactions with question answering systems have become more and more natural. As consumers expectations around the capabilities of systems able to answer questions formulated in natural language keep growing, so is the availability of such systems in various settings, devices and languages. Increasing usage in real (non-experimental) settings have boosted the demand for resilient systems, which can cope with high volume demand.

AB - Question answering (QA) systems, which source answers to natural language questions from Semantic Web data, have recently shifted from the research realm to become commercially viable products. Increasing investments have refined an interaction paradigm that allows end users to profit from the expressive power of Semantic Web standards, while at the same time hiding their complexity behind intuitive and easy-to-use interfaces. Not surprisingly, after the first excitement we did not witness a cooling-down phenomenon: regular interactions with question answering systems have become more and more natural. As consumers expectations around the capabilities of systems able to answer questions formulated in natural language keep growing, so is the availability of such systems in various settings, devices and languages. Increasing usage in real (non-experimental) settings have boosted the demand for resilient systems, which can cope with high volume demand.

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85055655934&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/41a0e506-34ca-3391-b07f-2fddf97a355d/

U2 - 10.1007/978-3-030-00072-1_6

DO - 10.1007/978-3-030-00072-1_6

M3 - Article in conference proceedings

AN - SCOPUS:85055655934

SN - 978-3-030-00071-4

T3 - Communications in Computer and Information Science

SP - 69

EP - 75

BT - Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Revised Selected Papers

A2 - Reforgiato Recupero, Diego

A2 - Gangemi, Aldo

A2 - Buscaldi, Davide

PB - Springer-Verlag Wien

T2 - 5th Semantic Web Evaluation Challenge, SemWebEval 2018, co-located with the 15th European Semantic Web conference - ESWC 2018

Y2 - 3 June 2018 through 7 June 2018

ER -

Other publications by the same author(s)

ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs

Salnikov, M., Sakhovskiy, A., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Tutubalina, E., Usbeck, R. & Panchenko, A., 2026, Natural Language Processing and Information Systems: 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Proceedings. Ichise, R. (ed.). Springer Science and Business Media Deutschland, p. 95-110 16 p. (Lecture Notes in Computer Science; vol. 15836 LNCS).

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

Analyzing the Influence of Knowledge Graph Information on Relation Extraction.

Möller, C. & Usbeck, R., 2025

Research output: other publications › Other › Research

Analyzing the Influence of Knowledge Graph Information on Relation Extraction

Möller, C. & Usbeck, R., 2025, The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025 Portoroz, Slovenia, June 1–5, 2025 Proceedings, Part I. Curry, E., Acosta, M., Poveda-Villalón, M., van Erp, M., Ojo, A., Hose, K., Shimizu, C. & Lisena, P. (eds.). Cham: Springer Nature Switzerland AG, Vol. 1. p. 460-480 21 p. (Lecture Notes in Computer Science ; vol. 15718).

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

ASK-DBLP: Answering Questions over DBLP

Taffa, T., Neises, P., Ollinger, S., Westphal, P., Ackermann, M. R., Banerjee, D. & Usbeck, R., 02.11.2025, Joint Proceedings of Industry, Doctoral Consortium, Posters and Demos of the 24th International Semantic Web Conference (ISWC-C 2025). Vol. Vol-4085.

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

Automating SPARQL Query Translations between DBpedia and Wikidata

Bartels, M. C., Banerjee, D. & Usbeck, R., 14.07.2025, Linking Meaning: Semantic Technologies Shaping the Future of AI: Cover 74617 Proceedings of the 21st International Conference on Semantic Systems, 3-5 September 2025, Vienna, Austria. Spahiu, B., Vahdati, S., Salatino, A., Pellegrini, T. & Havur, G. (eds.). IOS Press BV, p. 176-193 18 p. (Studies on the Semantic Web; vol. 62).

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

DOI

Recently viewed

Publications

  1. A change of values is in the air
  2. Exploration strategies, performance, and error consequences when learning a complex computer task
  3. Integrating errors into the training process
  4. Parking space management through deep learning – an approach for automated, low-cost and scalable real-time detection of parking space occupancy
  5. Modified dynamic programming approach for offline segmentation of long hydrometeorological time series
  6. The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform
  7. Framework for the Parallelized Development of Estimation Tasks for Length, Area, Capacity and Volume in Primary School - A Pilot Study
  8. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  9. Empowering materials processing and performance from data and AI
  10. Volume of Imbalance Container Prediction using Kalman Filter and Long Short-Term Memory
  11. Changes of Perception
  12. Changing the Administration from within:
  13. Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis
  14. Contributions of declarative and procedural memory to accuracy and automatization during second language practice
  15. Stepwise-based optimizing approaches for arrangements of loudspeaker in multi-zone sound field reproduction
  16. A fast sequential injection analysis system for the simultaneous determination of ammonia and phosphate
  17. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  18. The role of learners’ memory in app-based language instruction: the case of Duolingo.
  19. A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control
  20. Toward Application and Implementation of in Silico Tools and Workflows within Benign by Design Approaches
  21. Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
  22. Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood
  23. Improving short-term academic performance in the flipped classroom using dynamic geometry software
  24. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines
  25. An extended analytical approach to evaluating monotonic functions of fuzzy numbers
  26. FaST: A linear time stack trace alignment heuristic for crash report deduplication
  27. Robust Flatness Based Control of an Electromagnetic Linear Actuator Using Adaptive PID Controller
  28. Supporting discourse in a synchronous learning environment
  29. Distinguishing state variability from trait change in longitudinal data
  30. How the timing of texting triggers romantic interest after the first date: A curvilinear U-shaped effect and its underlying mechanisms
  31. Glass Scenographies