KvGR: A graph-based interface for explorative sequential question answering on heterogeneous information sources

Exploring a knowledge base is often an iterative process: initially vague information needs are refined by interaction. We propose a novel approach for such interaction that supports sequential question answering (SQA) on knowledge graphs. As opposed to previous work, we focus on exploratory settings, which we support with a visual representation of graph structures, helping users to better understand relationships. In addition, our approach keeps track of context – an important challenge in SQA – by allowing users to make their focus explicit via subgraph selection. Our results show that the interaction principle is either understood immediately or picked up very quickly – and that the possibility of exploring the information space iteratively is appreciated.

Keywords

Subject (DDC)

330 - Wirtschaft

Project

Event

42nd European Conference on IR Research (ECIR 2020)

Exhibition start date

Exhibition end date

Conference start date

14.04.2020

Conference end date

17.04.2020

Date of the last check

ISBN

978-3-030-45438-8
978-3-030-45439-5

ISSN

Language

English

Created during FHNW affiliation

Yes

Strategic action fields FHNW

Publication status

Published

Review

Peer review of the complete publication

Open access category

Closed

License

Citation

Witschel, H. F., Riesen, K., & Grether, L. (2020). KvGR: A graph-based interface for explorative sequential question answering on heterogeneous information sources. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020. Proceedings (Vol. 1, pp. 760–773). Springer. https://doi.org/10.1007/978-3-030-45439-5_50

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