{"id":"https://openalex.org/W2598209472","doi":"https://doi.org/10.1109/vast.2016.7883519","title":"The semantics of sketch: Flexibility in visual query systems for time series data","display_name":"The semantics of sketch: Flexibility in visual query systems for time series data","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2598209472","doi":"https://doi.org/10.1109/vast.2016.7883519","mag":"2598209472"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2016.7883519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2016.7883519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/A5036300289","display_name":"Michael Correll","orcid":"https://orcid.org/0000-0001-7902-3907"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Correll","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["University of Wisconsin-Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036300289"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":2.5051,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.93290483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.998199999332428,"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":0.998199999332428,"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":0.9962000250816345,"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":0.9959999918937683,"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":0.8230533003807068},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.748366117477417},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5392379760742188},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5041152238845825},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.477045476436615},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.45357927680015564},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4467346668243408},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.37814193964004517},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.345487117767334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10011687874794006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0549091100692749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230533003807068},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.748366117477417},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5392379760742188},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5041152238845825},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.477045476436615},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.45357927680015564},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4467346668243408},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.37814193964004517},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.345487117767334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10011687874794006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0549091100692749},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vast.2016.7883519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2016.7883519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306146","display_name":"Andrew W. Mellon Foundation","ror":"https://ror.org/04jsh2530"},{"id":"https://openalex.org/F4320306202","display_name":"Gordon and Betty Moore Foundation","ror":"https://ror.org/006wxqw41"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W116902681","https://openalex.org/W152645600","https://openalex.org/W1530463500","https://openalex.org/W1565809441","https://openalex.org/W1982271317","https://openalex.org/W1995376165","https://openalex.org/W2002544066","https://openalex.org/W2009899978","https://openalex.org/W2015217008","https://openalex.org/W2037205988","https://openalex.org/W2042591571","https://openalex.org/W2044397448","https://openalex.org/W2048905912","https://openalex.org/W2057828920","https://openalex.org/W2068091162","https://openalex.org/W2076462685","https://openalex.org/W2097267403","https://openalex.org/W2098759488","https://openalex.org/W2102662521","https://openalex.org/W2108713782","https://openalex.org/W2109399414","https://openalex.org/W2114033855","https://openalex.org/W2123685385","https://openalex.org/W2138722877","https://openalex.org/W2143702666","https://openalex.org/W2144679084","https://openalex.org/W2162756694","https://openalex.org/W2331744559","https://openalex.org/W2337337754","https://openalex.org/W2400311702","https://openalex.org/W4251304284","https://openalex.org/W4255822078","https://openalex.org/W6604828220","https://openalex.org/W6606247353","https://openalex.org/W6661122342","https://openalex.org/W6702601820","https://openalex.org/W6703715116"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W1494563618","https://openalex.org/W2357022711"],"abstract_inverted_index":{"Sketching":[0],"allows":[1],"analysts":[2],"to":[3,19,52,77,121,145],"specify":[4],"complex":[5],"and":[6,109,152],"free-form":[7],"patterns":[8,22],"of":[9,17,23,39,64,69,88,99,105,115],"interest.":[10],"Visual":[11],"query":[12,54,134],"systems":[13,55],"can":[14],"make":[15],"use":[16],"sketches":[18],"locate":[20],"these":[21,47,94,139],"interest":[24],"in":[25,124],"large":[26],"datasets.":[27],"However,":[28],"sketching":[29],"is":[30],"ambiguous:":[31],"the":[32,67,74,86,103,143,149],"same":[33],"drawing":[34],"could":[35],"represent":[36],"a":[37,62,70,81,89,113,129],"multitude":[38],"potential":[40],"queries.":[41],"In":[42],"this":[43],"work,":[44],"we":[45,127],"investigate":[46],"ambiguities":[48],"as":[49],"they":[50],"apply":[51,142],"visual":[53,133],"for":[56,117],"time":[57,71,118],"series":[58,72,119],"data.":[59],"We":[60,84,111,141],"define":[61],"class":[63],"\u201cinvariants\u201d":[65],"-":[66],"properties":[68],"that":[73,93,136],"analyst":[75],"wishes":[76],"ignore":[78],"when":[79],"performing":[80],"sketch-based":[82,132],"query.":[83],"present":[85,128],"results":[87],"crowd-sourced":[90],"study,":[91],"showing":[92],"invariants":[95,123],"are":[96],"key":[97],"components":[98],"how":[100],"people":[101],"rate":[102],"strength":[104],"match":[106],"between":[107],"sketch":[108],"target.":[110],"adapt":[112],"number":[114],"algorithms":[116],"matching":[120],"support":[122],"sketches.":[125],"Lastly,":[126],"web-deployed":[130],"prototype":[131,144],"system":[135],"relies":[137],"on":[138],"invariants.":[140],"data":[146],"from":[147],"finance,":[148],"digital":[150],"humanities,":[151],"political":[153],"science.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
