Graph-Query Suggestions for Knowledge Graph Exploration [ Web Conference 2020 ]
Channel: Matteo Lissandrini
Date: 2020-04-10

Graph-Query Suggestions for Knowledge Graph Exploration

Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis


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. 

More info:
http://people.cs.aau.dk/~matteo/publications/conf/2020-webconf-iexq.html