{"id":"https://openalex.org/W2150188162","doi":"https://doi.org/10.1109/iv.2002.1028847","title":"Enhancing graphical information system models with VRML","display_name":"Enhancing graphical information system models with VRML","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2150188162","doi":"https://doi.org/10.1109/iv.2002.1028847","mag":"2150188162"},"language":"en","primary_location":{"id":"doi:10.1109/iv.2002.1028847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv.2002.1028847","pdf_url":null,"source":{"id":"https://openalex.org/S4306524423","display_name":"Proceedings Sixth International Conference on Information Visualisation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Sixth International Conference on Information Visualisation","raw_type":"proceedings-article"},"type":"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/A5073969821","display_name":"Jouni Huotari","orcid":"https://orcid.org/0000-0002-2559-2300"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J. Huotari","raw_affiliation_strings":["School of Information Technology, Jyv\u00e4skyl\u00e4 Polytechnic, Finland"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jyv\u00e4skyl\u00e4 Polytechnic, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005997758","display_name":"Marketta Niemel\u00e4","orcid":"https://orcid.org/0000-0002-8370-9626"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"M. Niemela","raw_affiliation_strings":["Department of Computer Science and Information Systems, University of Jyv\u00e4skyl\u00e4, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, University of Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073969821"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8488,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73548387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"670","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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":0.9998000264167786,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.972100019454956,"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/computer-science","display_name":"Computer science","score":0.8166946768760681},{"id":"https://openalex.org/keywords/vrml","display_name":"VRML","score":0.769707977771759},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6375657916069031},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5807068943977356},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5398324131965637},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.49145710468292236},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44897663593292236},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.43278244137763977},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41690677404403687},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37081438302993774},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2707454562187195},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20128023624420166},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.15112429857254028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8166946768760681},{"id":"https://openalex.org/C75625381","wikidata":"https://www.wikidata.org/wiki/Q176061","display_name":"VRML","level":3,"score":0.769707977771759},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6375657916069031},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5807068943977356},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5398324131965637},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.49145710468292236},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44897663593292236},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.43278244137763977},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41690677404403687},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37081438302993774},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2707454562187195},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20128023624420166},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.15112429857254028},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv.2002.1028847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv.2002.1028847","pdf_url":null,"source":{"id":"https://openalex.org/S4306524423","display_name":"Proceedings Sixth International Conference on Information Visualisation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Sixth International Conference on Information Visualisation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W152237180","https://openalex.org/W1490953767","https://openalex.org/W1497303049","https://openalex.org/W1516293359","https://openalex.org/W1823329909","https://openalex.org/W2019046028","https://openalex.org/W2021014453","https://openalex.org/W2023846932","https://openalex.org/W2042069598","https://openalex.org/W2072434814","https://openalex.org/W2103565821","https://openalex.org/W2122350709","https://openalex.org/W2150352911","https://openalex.org/W2161581092","https://openalex.org/W2231324947","https://openalex.org/W2399236057","https://openalex.org/W2611162829","https://openalex.org/W4236888462","https://openalex.org/W6606237568","https://openalex.org/W6629906479","https://openalex.org/W6712755975"],"related_works":["https://openalex.org/W2385888880","https://openalex.org/W2032875914","https://openalex.org/W2033034411","https://openalex.org/W2375355377","https://openalex.org/W396800215","https://openalex.org/W1945609165","https://openalex.org/W2374822399","https://openalex.org/W2041682001","https://openalex.org/W3161603847","https://openalex.org/W792756295"],"abstract_inverted_index":{"Current":[0],"CASE":[1],"tools":[2],"lack":[3],"efficient":[4],"techniques":[5],"to":[6,22,34,42,48,55,58,92,97],"visualise":[7],"information":[8,46,112],"system":[9],"(IS)":[10],"design":[11,50,64],"repository.":[12],"One":[13],"important":[14],"aspect":[15,54],"in":[16,40,111],"visualising":[17],"graphical":[18],"IS":[19],"models":[20],"is":[21,33,57],"preserve":[23],"structure,":[24],"which":[25],"can":[26],"have":[27],"semantic":[28],"value.":[29],"Another":[30],"key":[31],"issue":[32],"provide":[35],"both":[36],"focus":[37],"and":[38,62,88,109],"context":[39],"order":[41],"understand":[43],"how":[44],"detailed":[45],"relates":[47],"other":[49,63],"elements.":[51],"The":[52],"third":[53],"consider":[56],"trace":[59],"between":[60],"diagrams":[61,73,86],"documents.":[65],"Our":[66],"VRML":[67],"implementation":[68],"integrates":[69],"different":[70],"types":[71],"of":[72,83,95],"as":[74],"a":[75],"whole.":[76],"We":[77],"applied":[78],"elision":[79],"technique":[80],"for":[81,123],"decomposition":[82],"data":[84],"flow":[85],"(DFD)":[87],"added":[89],"visible":[90],"lines":[91],"link":[93],"parts":[94],"DFD":[96],"entity-relation":[98],"diagrams.":[99],"In":[100],"our":[101],"laboratory":[102],"experiment,":[103],"we":[104,120],"collected":[105],"users'":[106],"subjective":[107],"opinions":[108],"performance":[110],"search":[113],"tasks.":[114],"Based":[115],"on":[116],"the":[117],"promising":[118],"results,":[119],"give":[121],"suggestions":[122],"further":[124],"exploration.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
