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Question answering over linked data: What is difficult to answer? What affects the F scores? / Saleem, Muhammad; Dastjerdi, Samaneh Nazari
; Usbeck, Ricardo et al.
Joint Proceedings of BLINK2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3 : Natural Language Interfaces for the Web of Data. Hrsg. / Rcardo Usbeck; Axel-Cyrille Ngonga Ngomo; Jin-Dong Kim; Key-Sun Choi; Philipp Cimiano; Irini Fundulaki; Anastasia Krithara. Band 1932 Sun Site Central Europe (RWTH Aachen University), 2017. (CEUR Workshop Proceedings; Band 1932).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
Saleem, M, Dastjerdi, SN
, Usbeck, R & Ngomo, ACN 2017,
Question answering over linked data: What is difficult to answer? What affects the F scores? in R Usbeck, A-CN Ngomo, J-D Kim, K-S Choi, P Cimiano, I Fundulaki & A Krithara (Hrsg.),
Joint Proceedings of BLINK2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3 : Natural Language Interfaces for the Web of Data. Bd. 1932, CEUR Workshop Proceedings, Bd. 1932, Sun Site Central Europe (RWTH Aachen University), Joint BLINK 2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3: Natural Language Interfaces for the Web of Data, BLINK 2017-NLIWoD3 2017, Vienna, Österreich,
21.10.17. <
https://nbn-resolving.org/urn:nbn:de:0074-1932-2>
APA
Saleem, M., Dastjerdi, S. N.
, Usbeck, R., & Ngomo, A. C. N. (2017).
Question answering over linked data: What is difficult to answer? What affects the F scores? In R. Usbeck, A.-C. N. Ngomo, J.-D. Kim, K.-S. Choi, P. Cimiano, I. Fundulaki, & A. Krithara (Hrsg.),
Joint Proceedings of BLINK2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3 : Natural Language Interfaces for the Web of Data (Band 1932). (CEUR Workshop Proceedings; Band 1932). Sun Site Central Europe (RWTH Aachen University).
https://nbn-resolving.org/urn:nbn:de:0074-1932-2Vancouver
Saleem M, Dastjerdi SN
, Usbeck R, Ngomo ACN.
Question answering over linked data: What is difficult to answer? What affects the F scores? in Usbeck R, Ngomo ACN, Kim JD, Choi KS, Cimiano P, Fundulaki I, Krithara A, Hrsg., Joint Proceedings of BLINK2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3 : Natural Language Interfaces for the Web of Data. Band 1932. Sun Site Central Europe (RWTH Aachen University). 2017. (CEUR Workshop Proceedings).
Bibtex
@inbook{7983c0cf61684ab4a1581df856635be3,
title = "Question answering over linked data: What is difficult to answer? What affects the F scores?",
abstract = "We present a fine-grained analysis of the Question Answering over Linked Data (QALD-6) challenge. We divide the QALD-6 questions into 8 main categories and compare state-of-the-art questions answering (QA) systems over Linked Data against the individual categories. We show the difficulty (in terms of overall F scores of the QA systems) of each category. We show the effect of various natural language and SPARQL features such as the number of triple patterns, number of keywords, the answer size, the type of answers, the effect of aggregate functions, and the SPARQL query forms on the overall F scores of the QA systems.",
keywords = "Informatics, Business informatics",
author = "Muhammad Saleem and Dastjerdi, {Samaneh Nazari} and Ricardo Usbeck and Ngomo, {Axel Cyrille Ngonga}",
note = "Funding Information: This work has been supported by the H2020 project HOBBIT (GA no. 688227) as well as the EuroStars projects DIESEL (no. 01QE1512C) and QAMEL (no. 01QE1549C). This work has also been supported by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) in the projects LIMBO (no. 19F2029I) and OPAL (no. 19F2028A) as well as by the German Federal Ministry of Education and Research (BMBF) within {\textquoteright}KMU-innovativ: Forschung f{\"u}r die zivile Sicherheit{\textquoteright} in particular {\textquoteright}Forschung f{\"u}r die zivile Sicherheit{\textquoteright} and the project SOLIDE (no. 13N14456).; Joint BLINK 2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3: Natural Language Interfaces for the Web of Data, BLINK 2017-NLIWoD3 2017 ; Conference date: 21-10-2017 Through 22-10-2017",
year = "2017",
language = "English",
volume = "1932",
series = "CEUR Workshop Proceedings",
publisher = "Sun Site Central Europe (RWTH Aachen University)",
editor = "Rcardo Usbeck and Ngomo, {Axel-Cyrille Ngonga} and Jin-Dong Kim and Key-Sun Choi and Philipp Cimiano and Irini Fundulaki and Anastasia Krithara",
booktitle = "Joint Proceedings of BLINK2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3",
address = "Germany",
url = "https://dblp.org/db/conf/semweb/blink2017.html",
}
RIS
TY - CHAP
T1 - Question answering over linked data
T2 - Joint BLINK 2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3: Natural Language Interfaces for the Web of Data, BLINK 2017-NLIWoD3 2017
AU - Saleem, Muhammad
AU - Dastjerdi, Samaneh Nazari
AU - Usbeck, Ricardo
AU - Ngomo, Axel Cyrille Ngonga
N1 - Funding Information:
This work has been supported by the H2020 project HOBBIT (GA no. 688227) as well as the EuroStars projects DIESEL (no. 01QE1512C) and QAMEL (no. 01QE1549C). This work has also been supported by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) in the projects LIMBO (no. 19F2029I) and OPAL (no. 19F2028A) as well as by the German Federal Ministry of Education and Research (BMBF) within ’KMU-innovativ: Forschung für die zivile Sicherheit’ in particular ’Forschung für die zivile Sicherheit’ and the project SOLIDE (no. 13N14456).
PY - 2017
Y1 - 2017
N2 - We present a fine-grained analysis of the Question Answering over Linked Data (QALD-6) challenge. We divide the QALD-6 questions into 8 main categories and compare state-of-the-art questions answering (QA) systems over Linked Data against the individual categories. We show the difficulty (in terms of overall F scores of the QA systems) of each category. We show the effect of various natural language and SPARQL features such as the number of triple patterns, number of keywords, the answer size, the type of answers, the effect of aggregate functions, and the SPARQL query forms on the overall F scores of the QA systems.
AB - We present a fine-grained analysis of the Question Answering over Linked Data (QALD-6) challenge. We divide the QALD-6 questions into 8 main categories and compare state-of-the-art questions answering (QA) systems over Linked Data against the individual categories. We show the difficulty (in terms of overall F scores of the QA systems) of each category. We show the effect of various natural language and SPARQL features such as the number of triple patterns, number of keywords, the answer size, the type of answers, the effect of aggregate functions, and the SPARQL query forms on the overall F scores of the QA systems.
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85031005596&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:85031005596
VL - 1932
T3 - CEUR Workshop Proceedings
BT - Joint Proceedings of BLINK2017: 2nd International Workshop on Benchmarking Linked Data and NLIWoD3
A2 - Usbeck, Rcardo
A2 - Ngomo, Axel-Cyrille Ngonga
A2 - Kim, Jin-Dong
A2 - Choi, Key-Sun
A2 - Cimiano, Philipp
A2 - Fundulaki, Irini
A2 - Krithara, Anastasia
PB - Sun Site Central Europe (RWTH Aachen University)
Y2 - 21 October 2017 through 22 October 2017
ER -
