Offline question answering over linked data using limited resources

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

  • Paramjot Kaur
  • Vincent Blücher
  • Rricha Jalota
  • Diego Moussallem
  • Axel Cyrille Ngonga Ngomo
  • Ricardo Usbeck

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.

OriginalspracheEnglisch
TitelSEMPDS 2019 : Posters and Demos at SEMANTiCS 2019
HerausgeberMehwish Alam, Ricardo Usbeck, Tassilo Pellegrini, Harald Sack, York Sure-Vetter
Band2451
VerlagSun Site Central Europe (RWTH Aachen University)
Erscheinungsdatum09.2019
PublikationsstatusErschienen - 09.2019
Extern publiziertJa
Veranstaltung15th International Conference on Semantic Systems, SEMPDS 2019: The Power of AI and Knowledge Graphs - Gartenhalle, Festplatz 3, Karlsruhe, Deutschland
Dauer: 09.09.201912.09.2019
https://2019.semantics.cc

Bibliographische Notiz

Funding Information:
Acknowledgments This work was supported by the EuroStars project QAMEL (no. 01QE1549C) and by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) through the project LIMBO (no. 19F2029I).

Publisher Copyright:
Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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