{"id":"https://openalex.org/W2030391899","doi":"https://doi.org/10.1109/vast.2010.5652890","title":"Interactive querying of temporal data using a comic strip metaphor","display_name":"Interactive querying of temporal data using a comic strip metaphor","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2030391899","doi":"https://doi.org/10.1109/vast.2010.5652890","mag":"2030391899"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2010.5652890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2010.5652890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Symposium on Visual Analytics Science and Technology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022402131","display_name":"Jing Jin","orcid":"https://orcid.org/0000-0002-8638-7837"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Jin","raw_affiliation_strings":["Information Sciences Institute, University of Southern California, USA","Information Sciences Institute, University of Southern California,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Information Sciences Institute, University of Southern California,","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068184256","display_name":"Pedro Szekely","orcid":"https://orcid.org/0000-0002-4621-2266"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro Szekely","raw_affiliation_strings":["Information Sciences Institute, University of Southern California, USA","Information Sciences Institute, University of Southern California,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Information Sciences Institute, University of Southern California,","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":2.4475,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91178913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9988999962806702,"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":0.9988999962806702,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8738710284233093},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6933478116989136},{"id":"https://openalex.org/keywords/comics","display_name":"Comics","score":0.6293108463287354},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.6018632054328918},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5749534964561462},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.43891531229019165},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4267970025539398},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38111406564712524},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3688809275627136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3116111755371094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8738710284233093},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6933478116989136},{"id":"https://openalex.org/C529099274","wikidata":"https://www.wikidata.org/wiki/Q1004","display_name":"Comics","level":2,"score":0.6293108463287354},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.6018632054328918},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5749534964561462},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.43891531229019165},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4267970025539398},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38111406564712524},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3688809275627136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3116111755371094},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vast.2010.5652890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2010.5652890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Symposium on Visual Analytics Science and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.367.5502","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.5502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isi.edu/~szekely/contents/papers/2010/vast2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W111842252","https://openalex.org/W116029855","https://openalex.org/W116902681","https://openalex.org/W189983278","https://openalex.org/W1492194740","https://openalex.org/W1509578651","https://openalex.org/W1538699150","https://openalex.org/W1597805093","https://openalex.org/W1967053372","https://openalex.org/W1975871650","https://openalex.org/W1992878451","https://openalex.org/W2004667856","https://openalex.org/W2017032467","https://openalex.org/W2028206358","https://openalex.org/W2039761202","https://openalex.org/W2046690968","https://openalex.org/W2058623130","https://openalex.org/W2080522325","https://openalex.org/W2089058086","https://openalex.org/W2091921805","https://openalex.org/W2097236039","https://openalex.org/W2097267403","https://openalex.org/W2101585249","https://openalex.org/W2107066761","https://openalex.org/W2109076134","https://openalex.org/W2109399414","https://openalex.org/W2111736285","https://openalex.org/W2114313114","https://openalex.org/W2114398257","https://openalex.org/W2121065592","https://openalex.org/W2122545089","https://openalex.org/W2124021141","https://openalex.org/W2124321702","https://openalex.org/W2128938146","https://openalex.org/W2133013573","https://openalex.org/W2137358872","https://openalex.org/W2138851433","https://openalex.org/W2144588087","https://openalex.org/W2151401338","https://openalex.org/W2153217804","https://openalex.org/W2156953317","https://openalex.org/W2158685692","https://openalex.org/W2158984754","https://openalex.org/W2159811067","https://openalex.org/W2161484642","https://openalex.org/W2163487757","https://openalex.org/W2167797188","https://openalex.org/W2168318855","https://openalex.org/W2753710282","https://openalex.org/W3001796748","https://openalex.org/W4251304284","https://openalex.org/W6604560564","https://openalex.org/W6629374121","https://openalex.org/W6632332395","https://openalex.org/W6683135794"],"related_works":["https://openalex.org/W3201315974","https://openalex.org/W3015688758","https://openalex.org/W3171682447","https://openalex.org/W3216780987","https://openalex.org/W2228920720","https://openalex.org/W610194060","https://openalex.org/W2362367986","https://openalex.org/W348707231","https://openalex.org/W2064719069","https://openalex.org/W3041760129"],"abstract_inverted_index":{"Finding":[0],"patterns":[1],"in":[2,11,77],"temporal":[3,68,93],"data":[4,8,94],"is":[5,45,75],"an":[6,46],"important":[7],"analysis":[9,33,104],"task":[10],"many":[12,78],"domains.":[13],"Static":[14],"visualizations":[15],"can":[16],"help":[17],"users":[18,59,88],"easily":[19,61],"see":[20],"certain":[21],"instances":[22,39],"of":[23,40,87],"patterns,":[24],"but":[25],"are":[26],"not":[27],"specially":[28],"designed":[29],"to":[30,57,60,89],"support":[31],"systematic":[32],"tasks,":[34],"such":[35],"as":[36],"finding":[37],"all":[38],"a":[41,53,84],"pattern":[42],"automatically.":[43],"VizPattern":[44,74],"interactive":[47],"visual":[48,103],"query":[49],"environment":[50],"that":[51,73,81],"uses":[52],"comic":[54],"strip":[55],"metaphor":[56],"enable":[58],"and":[62,65,80,96],"quickly":[63],"define":[64],"locate":[66],"complex":[67],"patterns.":[69],"Evaluations":[70],"provide":[71],"evidence":[72],"applicable":[76],"domains,":[79],"it":[82],"enables":[83],"wide":[85],"variety":[86],"answer":[90],"questions":[91],"about":[92],"faster":[95],"with":[97],"fewer":[98],"errors":[99],"than":[100],"existing":[101],"state-of-the-art":[102],"systems.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
