Graph Querying Meets HCI: State of the Art and Future Directions
Querying graph databases has emerged as an important research problem for real-world applications that center on large graph data. Given the syntactic complexity of graph query languages (e.g., SPARQL, Cypher), visual graph query interfaces make it easy for non-expert users to query such graph data...
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sg-ntu-dr.10356-863152020-03-07T11:48:46Z Graph Querying Meets HCI: State of the Art and Future Directions Choi, Byron Li, Chengkai Bhowmick, Sourav Saha School of Computer Science and Engineering Proceedings of the 2017 ACM International Conference on Management of Data Human computer interaction (HCI) Graph query language Querying graph databases has emerged as an important research problem for real-world applications that center on large graph data. Given the syntactic complexity of graph query languages (e.g., SPARQL, Cypher), visual graph query interfaces make it easy for non-expert users to query such graph data repositories. In this tutorial, we survey recent developments in the emerging area of visual graph querying paradigm that bridges traditional graph querying with human computer interaction (HCI). We discuss manual and data-driven visual graph query interfaces, various strategies and guidance for constructing graph queries visually, interleaving processing of graph queries and visual actions, and visual exploration of graph query results. In addition, the tutorial suggests open problems and new research directions. In summary, in this tutorial we review and summarize the research thus far into HCI and graph querying in the database community, giving researchers a snapshot of the current state of the art in this topic, and future research directions. MOE (Min. of Education, S’pore) 2017-11-01T07:55:25Z 2019-12-06T16:20:14Z 2017-11-01T07:55:25Z 2019-12-06T16:20:14Z 2017 Conference Paper Bhowmick, S. S., Choi, B., & Li, C. (2017). Graph Querying Meets HCI: State of the Art and Future Directions. Proceedings of the 2017 ACM International Conference on Management of Data, 1731-1736. https://hdl.handle.net/10356/86315 http://hdl.handle.net/10220/43975 10.1145/3035918.3054774 en © 2017 Association for Computing Machinery(ACM). |
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Human computer interaction (HCI) Graph query language Choi, Byron Li, Chengkai Bhowmick, Sourav Saha Graph Querying Meets HCI: State of the Art and Future Directions |
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Querying graph databases has emerged as an important research problem for real-world applications that center on large graph data. Given the syntactic complexity of graph query languages (e.g., SPARQL, Cypher), visual graph query interfaces make it easy for non-expert users to query such graph data repositories. In this tutorial, we survey recent developments in the emerging area of visual graph querying paradigm that bridges traditional graph querying with human computer interaction (HCI). We discuss manual and data-driven visual graph query interfaces, various strategies and guidance for constructing graph queries visually, interleaving processing of graph queries and visual actions, and visual exploration of graph query results. In addition, the tutorial suggests open problems and new research directions. In summary, in this tutorial we review and summarize the research thus far into HCI and graph querying in the database community, giving researchers a snapshot of the current state of the art in this topic, and future research directions. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Choi, Byron Li, Chengkai Bhowmick, Sourav Saha |
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Conference or Workshop Item |
author |
Choi, Byron Li, Chengkai Bhowmick, Sourav Saha |
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Choi, Byron |
title |
Graph Querying Meets HCI: State of the Art and Future Directions |
title_short |
Graph Querying Meets HCI: State of the Art and Future Directions |
title_full |
Graph Querying Meets HCI: State of the Art and Future Directions |
title_fullStr |
Graph Querying Meets HCI: State of the Art and Future Directions |
title_full_unstemmed |
Graph Querying Meets HCI: State of the Art and Future Directions |
title_sort |
graph querying meets hci: state of the art and future directions |
publishDate |
2017 |
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https://hdl.handle.net/10356/86315 http://hdl.handle.net/10220/43975 |
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