Human Interaction with Graphs

English | 2018 | ISBN-10: 1681733781 | 208 Pages | PDF | 5.94 MB

Interacting with graphs using queries 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-programmers to query such graph data repositories. In this book, we present recent developments in the emerging area of visual graph querying paradigm that bridges traditional graph querying with human computer interaction (HCI). Specifically, we focus on techniques that emphasize deep integration between the visual graph query interface and the underlying graph query engine. We discuss various strategies and guidance for constructing graph queries visually, interleaving processing of graph queries and visual actions, visual exploration of graph query results, and automated performance study of visual graph querying frameworks. In addition, this book highlights open problems and new research directions. In summary, in this book, we review and summarize the research thus far into the integration of HCI and graph querying to facilitate user-friendly interaction with graph-structured data, giving researchers a snapshot of the current state of the art in this topic, and future research directions.

About the Author
Sourav S. Bhowmick is an Associate Professor in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University. He leads the data management research group (DANTe) in SCSE. His research has appeared in top-tier venues in data management and analytics such as SIGMOD, VLDB, VLDB Journal, TKDE, WWW, and KDD. Sourav has been keynote and tutorial speaker for several international conferences including SIGMOD and VLDB. He has received Best Paper Awards at ACM CIKM 2004 and ACM BCB 2011 for papers related to evolution mining and biological network summarization, respectively. His work on influence maximization was nominated for the best paper award in ACM SIGMOD 2015. Sourav has served as a PC member of premium data management and data mining conferences (e.g., SIGMOD, VLDB, KDD) and a reviewer for various premium journals

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