Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop...
Transcript of Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop...
![Page 1: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/1.jpg)
Graph Exploration: Taking the User into the Loop
Davide Mottin,AnjaJentzsch,EmmanuelMüllerHasso Plattner Institute,Potsdam,Germany
2016/10/24CIKM2016,Indianapolis,US
![Page 2: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/2.jpg)
CIKM 2016 TUTORIAL
Where we are
D. MOTTIN, A. JENTZSCH, E. MÜLLER
ExploratoryGraphAnalysis(35min)
RefinementofQueryResults(35min)
FocusedGraphMining(35min)
103
Background(5 min)Graphmodels,subgraphisomorphism,subgraphmining,graphclustering
RealWorld-UseCase(15min)LinkedDatagraphs
Challengesanddiscussion
![Page 3: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/3.jpg)
CIKM 2016 TUTORIAL
The Web of Data
• 1,019datasets• 84+billionRDFtriples• 808+millionRDFlinksbetweendatasets
D. MOTTIN, A. JENTZSCH, E. MÜLLER 104
http://lod-cloud.net
![Page 4: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/4.jpg)
CIKM 2016 TUTORIAL
Vocabularies on the Web of Data• TheWebofDataisheterogeneous⁃ Manyvocabulariesareinuse(576asofOctober2016)⁃ Manydifferentwaystorepresentthesameinformation
D. MOTTIN, A. JENTZSCH, E. MÜLLER 105
https://lov.okfn.org
![Page 5: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/5.jpg)
CIKM 2016 TUTORIAL
RDF Data Model
D. MOTTIN, A. JENTZSCH, E. MÜLLER 106
ns:cikm2016 ns:Event
dbpedia:Indianapolis
ACMConferenceonInformationandKnowledgeManagement(CIKM2016)
rdf:type
rdfs:label
ns:location
![Page 6: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/6.jpg)
CIKM 2016 TUTORIAL
RDF Data Model
D. MOTTIN, A. JENTZSCH, E. MÜLLER 107
ns:cikm2016 ns:Event
dbpedia:Indianapolis
ACMConferenceonInformationandKnowledgeManagement(CIKM2016)
rdf:type
rdfs:label
ns:location
820445
dbpedia:populationTotal
JosephH.Hogsett
dbpedia:leaderName
![Page 7: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/7.jpg)
CIKM 2016 TUTORIAL
Linked Data exploration use cases
• Datasetexploration• Graphmining• Queryformulationandrefinement
! ButLinkedDataismessy
D. MOTTIN, A. JENTZSCH, E. MÜLLER 108
![Page 8: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/8.jpg)
CIKM 2016 TUTORIAL
Linked Data graph exploration challenges
● Nestedgraphs � Makesreasoningdifficult
● Loosestructure � Thingshavedifferentpropertysets
● Incomplete � Missingpropertydefinitions
● Poorlyformatted � Propertytypesusedinconsistently
● Inconsistent � Multiplerepresentationsclaimoppositethings
D. MOTTIN, A. JENTZSCH, E. MÜLLER 109
![Page 9: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/9.jpg)
CIKM 2016 TUTORIAL
Linked Data exploration systems timeline
D. MOTTIN, A. JENTZSCH, E. MÜLLER 110
![Page 10: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/10.jpg)
CIKM 2016 TUTORIAL
DBpedia Mobile
D. MOTTIN, A. JENTZSCH, E. MÜLLER 111
C.BeckerandC.Bizer.DBpedia mobile:Alocation-enabledlinkeddatabrowser.LDOW2008.
• displaysWikipediadataonmap• aggregatesdifferentdatasources
![Page 11: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/11.jpg)
CIKM 2016 TUTORIAL
RelFinder
D. MOTTIN, A. JENTZSCH, E. MÜLLER 112
Heim,P.,Hellmann,S.,Lehmann,J.,Lohmann,S.,andStegemann,T.RelFinder:RevealingRelationshipsinRDFKnowledgeBases.SAMT2009.
• visualizationofpathsbetweenany2entities• pathidentificationoninstancelevel
![Page 12: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/12.jpg)
CIKM 2016 TUTORIAL
gFacet
D. MOTTIN, A. JENTZSCH, E. MÜLLER 113
P.Heim,T.Ertl,andJ.Ziegler.Facetgraphs:Complexsemanticqueryingmadeeasy.TheSemanticWeb:ResearchandApplications.Springer,2010.
• Schemaexploration
• combinesgraph-basedvisualizationand
facetedfilteringtechniques
![Page 13: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/13.jpg)
CIKM 2016 TUTORIAL
graphVizdb
D. MOTTIN, A. JENTZSCH, E. MÜLLER 114
Bikakis,N.,Liagouris,J.,Krommyda,M.,Papastefanatos,G.andSellis,T.graphVizdb:Ascalableplatformforinteractivelargegraphvisualization.ICDE,2016
• Graphlayoutisindexedwithaspatialdatastructure,i.e.,anR-tree,andstoredinadatabase
• Inruntime,useroperationsaretranslatedintoefficientspatialoperations(i.e.,windowqueries)inthebackend
![Page 14: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/14.jpg)
CIKM 2016 TUTORIAL
LODeX
D. MOTTIN, A. JENTZSCH, E. MÜLLER 115
Benedetti,F.,Bergamaschi,S.andPo,L.Lodex:Atoolforvisualqueryinglinkedopendata.ISWC,2015
• ExploreaLinkedDatasetusingaschemasummary
• Pickgraphicalelementsfromittocreateavisualquery
• Browsetheresults• Refinethequery
![Page 15: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/15.jpg)
CIKM 2016 TUTORIAL
Aemoo
D. MOTTIN, A. JENTZSCH, E. MÜLLER 116
A.Musetti,A.G.Nuzzolese,F.Draicchio,V.Presutti,E.Blomqvist,A.Gangemi,andP.Ciancarini.Aemoo:Exploratorysearchbasedonknowledgepatternsoverthesemanticweb.SemanticWebChallenge,2012.
• ExploratorysearchsystembasedonEncyclopedicKnowledgePatterns
• EKPareknowledgepatternsthatdefinethetypicalclassesusedtodescribeentitiesofacertainclass
![Page 16: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/16.jpg)
CIKM 2016 TUTORIAL
Linked Jazz
D. MOTTIN, A. JENTZSCH, E. MÜLLER 117
M.C.Pattuelli,M.Miller,L.Lange,S.Fitzell,andC.Li-Madeo.Craftinglinkedopendataforculturalheritage:Mappingandcuration toolsforthelinkedjazzproject.Code4LibJournal,2013.
• revealsthenetworkofthesocialandprofessionalrelationswithintheAmericanjazzcommunity
![Page 17: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/17.jpg)
CIKM 2016 TUTORIAL
Semantic Wonder Cloud
D. MOTTIN, A. JENTZSCH, E. MÜLLER 118
http://sisinflab.poliba.it/semantic-wonder-cloud/index/
![Page 18: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/18.jpg)
CIKM 2016 TUTORIAL
inWalk
D. MOTTIN, A. JENTZSCH, E. MÜLLER 119
Castano,S.,Ferrara,A.andMontanelli,S.inWalk:InteractiveandThematicWalksinsidetheWebofData.EDBT,2014
![Page 19: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/19.jpg)
CIKM 2016 TUTORIAL
ProLOD++ Mining Graph Patterns on the Web of Data
D. MOTTIN, A. JENTZSCH, E. MÜLLER 120
Jentzsch,A.,Dullweber,C.,Troiano,P.,Naumann,F.ExploringLinkedDataGraphStructures.ISWC2015.
ProLOD++● WebframeworkforvariousdataprofilingandminingtasksonLinkedDatasets
● ExplorativeresearchonLinkedDatasetgraphstofind⁃ frequentgraphpatterns⁃ commongraphpatternsforclasses⁃ generalgraphmodelforLinkedDatasets
https://prolod.org
![Page 20: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/20.jpg)
CIKM 2016 TUTORIAL
ProLOD++Graph pattern mining
D. MOTTIN, A. JENTZSCH, E. MÜLLER 121
Jentzsch,A.,Dullweber,C.,Troiano,P.,Naumann,F.ExploringLinkedDataGraphStructures.ISWC2015.
DefinitionofcoresetoffrequentgraphpatternsinLinkedDatasetsbasedonsatellitecomponentanalysis
![Page 21: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/21.jpg)
CIKM 2016 TUTORIAL
ProLOD++Graph patterns
D. MOTTIN, A. JENTZSCH, E. MÜLLER 122
Jentzsch,A.,Dullweber,C.,Troiano,P.,Naumann,F.ExploringLinkedDataGraphStructures.ISWC2015.
● Groupclass-coloured graphsbytheirpermutationgroups[Luks82]⁃ Permutationgroup:thesetofallautomorphisms ofagraph
drugtargetunknown
![Page 22: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/22.jpg)
CIKM 2016 TUTORIAL
Loupe
D. MOTTIN, A. JENTZSCH, E. MÜLLER 123
Mihindukulasooriya,N.,Poveda-Villalón,M.,García-Castro,R.and Gómez-Pérez,A.Loupe - An OnlineTool for InspectingDatasets inthe Linked DataCloud.ISWC2015.
• Frequenttriplepatterns• Graphicalontologybrowsing
![Page 23: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/23.jpg)
CIKM 2016 TUTORIAL
Requirements for Linked Data exploratory search systems
D. MOTTIN, A. JENTZSCH, E. MÜLLER 124
• Thesystemprovidesefficientoverviews• Thesystemhelpstheusertounderstandtheinformationspaceandtoshapehismentalmodel
• Theusercanexploremultiple,heterogeneousresultsandbrowsingpaths
• Thesystemeasesthememorizationofrelevantresults
• Thesysteminspirestheuserandshapeshisinformationneed• Thesystemprovokesdiscoveries
![Page 24: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/24.jpg)
CIKM 2016 TUTORIAL
Challenges
D. MOTTIN, A. JENTZSCH, E. MÜLLER 125
● Displayingthegraphforexploration⁃ E.g.byclusteringoftopicaldomains⁃ Allowingtheusertodrilldown
● Livegraphexploration⁃ E.g.viafederatedSPARQLqueries▪ RequiresknowledgeonendpointURIs▪ Slowinreal-time
● Guidingtheusertointerestingpartsofthegraph⁃ Usuallydonebyentityinlinks▪ Limitedinsights
![Page 25: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/25.jpg)
CIKM 2016 TUTORIAL
Tutorial outline
D. MOTTIN, A. JENTZSCH, E. MÜLLER
ExploratoryGraphAnalysis(35min)
RefinementofQueryResults(35min)
FocusedGraphMining(35min)
126
Background(5 min)Graphmodels,subgraphisomorphism,subgraphmining,graphclustering
RealWorld-UseCase(15min)LinkedDatagraphs
Challengesanddiscussion
![Page 26: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/26.jpg)
CIKM 2016 TUTORIAL
Summary of Exploratory Graph Analysis
D. MOTTIN, A. JENTZSCH, E. MÜLLER 127
ApproximateQueries• UserqueryisimpreciseBy-Examplemethods• Userqueryisanexampleresult
• Onlyneedapartialknowledgeonthedata
• Noneedforcomplicatequerylanguages(useexamples,partialdescriptions)
• Thequeryadaptstouserneed• Enableexploratorysearchby
usingsmallqueriesonthedata
Query(agraph)
Graph
?
Query(anexample)
Graph
![Page 27: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/27.jpg)
CIKM 2016 TUTORIAL
Challenges for Exploratory Graph Analysis
D. MOTTIN, A. JENTZSCH, E. MÜLLER 128
• Unsupportedinmostofthecurrentgraphdatabases• No”universal”indextoanswermultipletypeofqueries• Partitioningonlyforexactqueryanswering
Database
• Userinteractivityintheexplorationprocess• Nosolutionsforprobabilisticgraphs• Respondtoquerieswhilethegraphchanges• Findexamplesinstreamingsettings
InformationretrievalInformation
retrieval
• Exploitingquerylogsforpersonalizedqueryanswering• Retrieveresultsinformofdocumentsconvertingthequery
structures
Datamining
![Page 28: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/28.jpg)
CIKM 2016 TUTORIAL
Summary of Focused Graph Mining
D. MOTTIN, A. JENTZSCH, E. MÜLLER 129
Thefocusonindividualuserinterest…asQuery totheGraphMiningSystem…asSeedNode(s) forLocalSearch…asAttributes andWeights
• getorinferuserinterestà unexpectedresults
• interactiveexplorationà intuitiveparametrization
• adaptivegraphminingà individuallocalsearch
![Page 29: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/29.jpg)
CIKM 2016 TUTORIAL
Challenges for Focused Graph Mining
D. MOTTIN, A. JENTZSCH, E. MÜLLER 130
Datamining
scale
Userinteractivityinthegraphminingprocess• unsupportedinmostofthecurrentgraphminingalgorithms• hugevarietyofuserinteractions possible• feedbackloopneedstobeunified andbecomeexchangeable
Revolutionofformalmodelsandsearchalgorithms• insufficientextensionsofexistingmodelsandalgorithms• adaptivesteering ofalgorithmsvs.fixedparametrization• evaluationofalgorithmswithuserstudies
Scalabilityofalgorithmsforreal-timeinteraction• NP-hardproblems,heuristicalgorithms,…,stillnotscalable• exploittheuserinterest forpruningthesearchspace
![Page 30: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/30.jpg)
CIKM 2016 TUTORIAL
Summary of Refinement of Query Results
D. MOTTIN, A. JENTZSCH, E. MÜLLER 131
Refinement• Theuserqueryistoorestrictiveortoo
genericTop-kResults• QueriestypicallyhaveinexactmatchesSkylineQueries• Findsmallsetofinterestingitemswith
manydimensionsandincrementalupdates
• Theusermighthaveaverygenericideaofhowtodescribethestructureofinterest
• Thesystemguidestheusertowardstheanswerwithsimplesteps
• Theresultsareexplainedwithreformulations
• Thequerymatchesareinexactandinteresting
![Page 31: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/31.jpg)
CIKM 2016 TUTORIAL
Challenges for Refinement of Query Results
D. MOTTIN, A. JENTZSCH, E. MÜLLER 132
• Realtimeperformance• Profilingofqueriesforoptimizedperformance
• Personalizedreformulationsandinteractivity• Facetsearchdiscoveryingraphs
• Uncertaingraphdata
Database
InformationretrievalInformation
retrieval
Datamining
![Page 32: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/32.jpg)
CIKM 2016 TUTORIAL
The missing tiles in graph exploration
D. MOTTIN, A. JENTZSCH, E. MÜLLER 133
Interactivity Adaptivity
Personalization Scalability
![Page 33: Graph Exploration: Taking the User into the Loop Exploration: Taking the User into the Loop DavideMottin, Anja Jentzsch, Emmanuel Müller Hasso Plattner Institute, Potsdam, Germany](https://reader031.fdocuments.us/reader031/viewer/2022022517/5b05a62c7f8b9a5c308bcc7a/html5/thumbnails/33.jpg)
Questions?
CIKM 2016 TUTORIAL D. MOTTIN, A. JENTZSCH, E. MÜLLER 134
Slides:https://hpi.de//mueller/tutorials/graph-exploration.html