Graph-Query Suggestions for Knowledge Graph Exploration
Publication date
2020-04-20
Authors
Lissandrini, Matteo
Mottin, Davide
Palpanas, Themis
Velegrakis, Yannis
Editors
Huang, Yennun
King, Irwin
Liu, Tie-Yan
van Steen, Maarten
Advisors
Supervisors
Document Type
Part of book
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Abstract
We consider the task of exploratory search through graph queries on knowledge graphs. We propose to assist the user by expanding the query with intuitive suggestions to provide a more informative (full) query that can retrieve more detailed and relevant answers. To achieve this result, we propose a model that can bridge graph search paradigms with well-established techniques for information-retrieval. Our approach does not require any additional knowledge from the user and builds on principled language modelling approaches. We empirically show the effectiveness and efficiency of our approach on a large knowledge graph and how our suggestions are able to help build more complete and informative queries.
Keywords
Computer Networks and Communications, Software
Citation
Lissandrini, M, Mottin, D, Palpanas, T & Velegrakis, Y 2020, Graph-Query Suggestions for Knowledge Graph Exploration. in Y Huang, I King, T-Y Liu & M van Steen (eds), WWW '20: Proceedings of The Web Conference 2020. Association for Computing Machinery, pp. 2549-2555, 29th International World Wide Web Conference, WWW 2020, Taipei, Taiwan, Province of China, 20/04/20. https://doi.org/10.1145/3366423.3380005, conference