TY - GEN
T1 - Graph querying meets HCI
T2 - 2017 ACM SIGMOD International Conference on Management of Data, SIGMOD 2017
AU - Bhowmick, Sourav S.
AU - Choi, Byron
AU - Li, Chengkai
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/5/9
Y1 - 2017/5/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85021198321&partnerID=8YFLogxK
U2 - 10.1145/3035918.3054774
DO - 10.1145/3035918.3054774
M3 - Conference proceeding
AN - SCOPUS:85021198321
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 1731
EP - 1736
BT - SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data
PB - Association for Computing Machinery (ACM)
Y2 - 14 May 2017 through 19 May 2017
ER -