Offline question answering over linked data using limited resources

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

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.

Original languageEnglish
Title of host publicationSEMPDS 2019 : Posters and Demos at SEMANTiCS 2019
EditorsMehwish Alam, Ricardo Usbeck, Tassilo Pellegrini, Harald Sack, York Sure-Vetter
Volume2451
PublisherSun Site Central Europe (RWTH Aachen University)
Publication date09.2019
Publication statusPublished - 09.2019
Externally publishedYes
Event15th International Conference on Semantic Systems, SEMPDS 2019: The Power of AI and Knowledge Graphs - Gartenhalle, Festplatz 3, Karlsruhe, Germany
Duration: 09.09.201912.09.2019
https://2019.semantics.cc

Bibliographical note

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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