Graph-Query Suggestions for Knowledge Graph Exploration

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Matteo Lissandrini, Aalborg University, Denmark
  • Davide Mottin
  • Themis Palpanas, University Paris Descartes, Paris, France
  • Yannis Velegrakis, Utrecht University, Utrecht, Italy

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.

Original languageEnglish
Title of host publicationWWW '20: Proceedings of The Web Conference 2020
EditorsYennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen
Number of pages7
Place of publicationNew York
PublisherAssociation for Computing Machinery
Publication year2020
ISBN (Electronic)9781450370233
Publication statusPublished - 2020
EventWWW '20: The Web Conference 2020 - Taipei , Taiwan
Duration: 20 Apr 202024 Apr 2020


ConferenceWWW '20

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