000 03710nam a22005295i 4500
001 978-3-031-01861-9
003 DE-He213
005 20240730163438.0
007 cr nn 008mamaa
008 220601s2018 sz | s |||| 0|eng d
020 _a9783031018619
_9978-3-031-01861-9
024 7 _a10.1007/978-3-031-01861-9
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aBhowmick, Sourav S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978567
245 1 0 _aHuman Interaction with Graphs
_h[electronic resource] /
_cby Sourav S. Bhowmick, Byron Choi, Chengkai Li.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXII, 186 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data Management,
_x2153-5426
505 0 _aForeword -- Preface -- Acknowledgments -- Introduction -- Background -- Guidance for Visual Query Formulation -- Blending Human Interactions and Graph Query Processing -- Blending Interactions and Query Processing on Large Networks -- Human Interaction with Query Results -- Simulation of Visual Subgraph Query Formulation -- The Road Ahead -- Bibliography -- Authors' Biographies.
520 _aInteracting 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.
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aComputer Communication Networks.
_978568
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aChoi, Byron.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978569
700 1 _aLi, Chengkai.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978570
710 2 _aSpringerLink (Online service)
_978571
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000881
776 0 8 _iPrinted edition:
_z9783031007330
776 0 8 _iPrinted edition:
_z9783031029899
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_978572
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01861-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c84612
_d84612