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Survey on challenges of Question Answering in the Semantic Web

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Survey on challenges of Question Answering in the Semantic Web. / Höffner, Konrad; Walter, Sebastian; Marx, Edgard et al.
In: Semantic Web, Vol. 8, No. 6, 07.08.2017, p. 895-920.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Höffner, K, Walter, S, Marx, E, Usbeck, R, Lehmann, J & Ngonga Ngomo, AC 2017, 'Survey on challenges of Question Answering in the Semantic Web', Semantic Web, vol. 8, no. 6, pp. 895-920. https://doi.org/10.3233/SW-160247

APA

Höffner, K., Walter, S., Marx, E., Usbeck, R., Lehmann, J., & Ngonga Ngomo, A. C. (2017). Survey on challenges of Question Answering in the Semantic Web. Semantic Web, 8(6), 895-920. https://doi.org/10.3233/SW-160247

Vancouver

Höffner K, Walter S, Marx E, Usbeck R, Lehmann J, Ngonga Ngomo AC. Survey on challenges of Question Answering in the Semantic Web. Semantic Web. 2017 Aug 7;8(6):895-920. doi: 10.3233/SW-160247

Bibtex

@article{d42ff28c328e488190c18e41bdc39d70,
title = "Survey on challenges of Question Answering in the Semantic Web",
abstract = "Semantic Question Answering (SQA) removes two major access requirements to the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a specific vocabulary. Because of the complexity of natural language, SQA presents difficult challenges and many research opportunities. Instead of a shared effort, however, many essential components are redeveloped, which is an inefficient use of researcher's time and resources. This survey analyzes 62-different SQA systems, which are systematically and manually selected using predefined inclusion and exclusion criteria, leading to 72-selected publications out of 1960 candidates. We identify common challenges, structure solutions, and provide recommendations for future systems. This work is based on publications from the end of 2010 to July 2015 and is also compared to older but similar surveys.",
keywords = "Question Answering, Semantic Web, survey, Informatics, Business informatics",
author = "Konrad H{\"o}ffner and Sebastian Walter and Edgard Marx and Ricardo Usbeck and Jens Lehmann and {Ngonga Ngomo}, {Axel Cyrille}",
note = "Publisher Copyright: {\textcopyright} 2017 - IOS Press and the authors. All rights reserved.",
year = "2017",
month = aug,
day = "7",
doi = "10.3233/SW-160247",
language = "English",
volume = "8",
pages = "895--920",
journal = "Semantic Web",
issn = "1570-0844",
publisher = "SAGE Publications Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Survey on challenges of Question Answering in the Semantic Web

AU - Höffner, Konrad

AU - Walter, Sebastian

AU - Marx, Edgard

AU - Usbeck, Ricardo

AU - Lehmann, Jens

AU - Ngonga Ngomo, Axel Cyrille

N1 - Publisher Copyright: © 2017 - IOS Press and the authors. All rights reserved.

PY - 2017/8/7

Y1 - 2017/8/7

N2 - Semantic Question Answering (SQA) removes two major access requirements to the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a specific vocabulary. Because of the complexity of natural language, SQA presents difficult challenges and many research opportunities. Instead of a shared effort, however, many essential components are redeveloped, which is an inefficient use of researcher's time and resources. This survey analyzes 62-different SQA systems, which are systematically and manually selected using predefined inclusion and exclusion criteria, leading to 72-selected publications out of 1960 candidates. We identify common challenges, structure solutions, and provide recommendations for future systems. This work is based on publications from the end of 2010 to July 2015 and is also compared to older but similar surveys.

AB - Semantic Question Answering (SQA) removes two major access requirements to the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a specific vocabulary. Because of the complexity of natural language, SQA presents difficult challenges and many research opportunities. Instead of a shared effort, however, many essential components are redeveloped, which is an inefficient use of researcher's time and resources. This survey analyzes 62-different SQA systems, which are systematically and manually selected using predefined inclusion and exclusion criteria, leading to 72-selected publications out of 1960 candidates. We identify common challenges, structure solutions, and provide recommendations for future systems. This work is based on publications from the end of 2010 to July 2015 and is also compared to older but similar surveys.

KW - Question Answering

KW - Semantic Web

KW - survey

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85027403246&partnerID=8YFLogxK

U2 - 10.3233/SW-160247

DO - 10.3233/SW-160247

M3 - Journal articles

AN - SCOPUS:85027403246

VL - 8

SP - 895

EP - 920

JO - Semantic Web

JF - Semantic Web

SN - 1570-0844

IS - 6

ER -

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Other publications by the same author(s)

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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).

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Taffa, T. A. & Usbeck, R., 23.05.2025, WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025: Companion Proceedings of the ACM Web Conference 2025, April 28-May 2, 2025 Sydney, NSW, Australia. Long, G., Blumestein, M., Chang, Y., Lewin-Eytan, L., Huang, H. & Yom-Tov, E. (eds.). New York: Association for Computing Machinery, Inc, p. 1321-1325 5 p.

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

Junior fellows and distinguished dissertation of the GI and AI for crisis

Usbeck, R., Kraft, A. & Westphal, P., 01.02.2025, In: IT - Information Technology. 67, 1, p. 1-2 2 p.

Research output: Journal contributions › Other (editorial matter etc.) › Research

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