Offline question answering over linked data using limited resources
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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 language | English |
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Title of host publication | SEMPDS 2019 : Posters and Demos at SEMANTiCS 2019 |
Editors | Mehwish Alam, Ricardo Usbeck, Tassilo Pellegrini, Harald Sack, York Sure-Vetter |
Volume | 2451 |
Publisher | Sun Site Central Europe (RWTH Aachen University) |
Publication date | 09.2019 |
Publication status | Published - 09.2019 |
Externally published | Yes |
Event | 15th International Conference on Semantic Systems, SEMPDS 2019: The Power of AI and Knowledge Graphs - Gartenhalle, Festplatz 3, Karlsruhe, Germany Duration: 09.09.2019 → 12.09.2019 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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