{"id":"https://openalex.org/W2905552881","doi":"https://doi.org/10.1109/iv.2018.00016","title":"The Branching Data Model, the Foundation for Automated Tree Visualization","display_name":"The Branching Data Model, the Foundation for Automated Tree Visualization","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2905552881","doi":"https://doi.org/10.1109/iv.2018.00016","mag":"2905552881"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv.2018.00016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066830247","display_name":"H. Paul Zellweger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096515","display_name":"ClearWay Minnesota","ror":"https://ror.org/00phktm30","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210096515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H. Paul Zellweger","raw_affiliation_strings":["ArborWay Labs, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"ArborWay Labs, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210096515"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066830247"],"corresponding_institution_ids":["https://openalex.org/I4210096515"],"apc_list":null,"apc_paid":null,"fwci":0.724,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.56987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":82},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"37"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9775,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.972,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/branching","display_name":"Branching (polymer chemistry)","score":0.6125924},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.60544187},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48766506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67262137},{"id":"https://openalex.org/C206175624","wikidata":"https://www.wikidata.org/wiki/Q595731","display_name":"Branching (polymer chemistry)","level":2,"score":0.6125924},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.60544187},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5780235},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48766506},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48093197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28482342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12874076},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07613394},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv.2018.00016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":9,"referenced_works":["https://openalex.org/W1493729940","https://openalex.org/W2006820476","https://openalex.org/W2158459778","https://openalex.org/W2507701305","https://openalex.org/W2770752173","https://openalex.org/W2904822864","https://openalex.org/W2989713547","https://openalex.org/W4236669468","https://openalex.org/W73629738"],"related_works":["https://openalex.org/W4225274103","https://openalex.org/W2923661510","https://openalex.org/W2586219255","https://openalex.org/W2579659702","https://openalex.org/W2547096368","https://openalex.org/W2189613078","https://openalex.org/W2154046714","https://openalex.org/W2013728941","https://openalex.org/W1965329638","https://openalex.org/W1574055964"],"abstract_inverted_index":{"The":[0,140,167],"paper":[1],"presents":[2],"the":[3,15,24,29,55,91,100,116,134,152,177],"newly":[4],"discovered":[5],"Branching":[6,129,185],"Data":[7,130,186],"Model;":[8],"it":[9,150],"is":[10,146,169],"a":[11,48,59,137,147,156,170,210],"building":[12],"block":[13],"for":[14,162],"tree":[16,60,82],"structure.":[17,61],"This":[18,62,198],"arrangement":[19],"of":[20,51,93,107,128,143,184],"data":[21,32,52,67,102,113,144,153,161,215],"originates":[22],"in":[23,54,136,155,209],"relational":[25],"table":[26,56,158],"by":[27,44,196,212],"formalizing":[28],"so-called":[30],"parent-child":[31],"relations":[33,53,68],"located":[34],"between":[35,133],"two":[36,182],"attributes.":[37],"A":[38],"well-defined":[39],"SQL":[40],"SELECT":[41],"statement,":[42],"motivated":[43],"theoretical":[45],"mathematics,":[46],"establishes":[47],"uniform":[49],"pattern":[50],"that":[57,125,173],"has":[58],"query":[63],"both":[64],"exposes":[65],"these":[66,78,94,181],"as":[69,71],"well":[70],"models":[72,79],"them.":[73],"Program":[74],"logic":[75,190],"operates":[76],"on":[77,90],"to":[80,84,98,123,191,206],"enable":[81,188],"structures":[83],"expand":[85],"and":[86],"grow":[87],"computationally.":[88],"Labels":[89],"nodes":[92],"trees":[95],"allow":[96,204],"end-users":[97,205],"visualize":[99],"table's":[101],"content.":[103,216],"An":[104],"early":[105],"form":[106],"artificial":[108],"intelligence":[109],"(AI)":[110],"generalizes":[111],"this":[112],"relationship":[114],"beyond":[115],"database":[117,138,157,178,193,211],"table.":[118],"It":[119],"uses":[120],"brute":[121],"force":[122],"verify":[124],"another":[126],"type":[127,142],"Model":[131],"exists":[132],"tables":[135,175],"system.":[139,179],"former":[141],"model":[145,172],"conceptual":[148],"model;":[149],"organizes":[151],"contained":[154],"into":[159],"menu":[160],"an":[163],"end-user":[164,199],"navigation":[165],"interface.":[166],"latter":[168],"linkage":[171],"connects":[174],"throughout":[176],"Together,":[180],"types":[183],"Models":[187],"program":[189],"generate":[192],"applications":[194,200],"entirely":[195],"automation.":[197],"are":[201],"data-driven.":[202],"They":[203],"locate":[207],"information":[208],"visualizing":[213],"its":[214]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2905552881","counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-03-21T09:57:24.190213","created_date":"2018-12-22"}