Offline question answering over linked data using limited resources
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Offline question answering over linked data using limited resources. / Kaur, Paramjot; Blücher, Vincent; Jalota, Rricha et al.
SEMPDS 2019: Posters and Demos at SEMANTiCS 2019. Hrsg. / Mehwish Alam; Ricardo Usbeck; Tassilo Pellegrini; Harald Sack; York Sure-Vetter. Band 2451 Sun Site Central Europe (RWTH Aachen University), 2019. (CEUR Workshop Proceedings; Band 2451).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Offline question answering over linked data using limited resources
AU - Kaur, Paramjot
AU - Blücher, Vincent
AU - Jalota, Rricha
AU - Moussallem, Diego
AU - Ngomo, Axel Cyrille Ngonga
AU - Usbeck, Ricardo
N1 - Publisher Copyright: Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2019/9
Y1 - 2019/9
N2 - Question Answering over Linked Data provides concise information to the user from a natural language request instead of flooding them with documents. However, the accessibility of Linked Data resources, e.g., SPARQL endpoints, is bound to an online connection. We present OQA, the first offline Question Answering system over Linked Data for mobile devices. We built OQA with the limited resources of an Android mobile device, such as battery power, computational power, or memory consumption in mind. Our OQA system has three main components: 1) question analysis and 2) query generation which identify the type of the question and reform it into a semantically meaningful data structure, i.e., a SPARQL query. Finally, the 3) query execution uses a novel mobile triple store, implemented with RDF4J. Our evaluation suggests that OQA is feasible for daily use in terms of battery consumption and able to answer domain-specific questions with up to 72% accuracy.
AB - Question Answering over Linked Data provides concise information to the user from a natural language request instead of flooding them with documents. However, the accessibility of Linked Data resources, e.g., SPARQL endpoints, is bound to an online connection. We present OQA, the first offline Question Answering system over Linked Data for mobile devices. We built OQA with the limited resources of an Android mobile device, such as battery power, computational power, or memory consumption in mind. Our OQA system has three main components: 1) question analysis and 2) query generation which identify the type of the question and reform it into a semantically meaningful data structure, i.e., a SPARQL query. Finally, the 3) query execution uses a novel mobile triple store, implemented with RDF4J. Our evaluation suggests that OQA is feasible for daily use in terms of battery consumption and able to answer domain-specific questions with up to 72% accuracy.
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85072892371&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:85072892371
VL - 2451
T3 - CEUR Workshop Proceedings
BT - SEMPDS 2019
A2 - Alam, Mehwish
A2 - Usbeck, Ricardo
A2 - Pellegrini, Tassilo
A2 - Sack, Harald
A2 - Sure-Vetter, York
PB - Sun Site Central Europe (RWTH Aachen University)
T2 - 15th International Conference on Semantic Systems, SEMPDS 2019
Y2 - 9 September 2019 through 12 September 2019
ER -