{"id":"https://openalex.org/W2611284979","doi":"https://doi.org/10.1145/3027063.3053222","title":"Discrete Time Specifications In Temporal Queries","display_name":"Discrete Time Specifications In Temporal Queries","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2611284979","doi":"https://doi.org/10.1145/3027063.3053222","mag":"2611284979"},"language":"en","primary_location":{"id":"doi:10.1145/3027063.3053222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3027063.3053222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems","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/A5064858317","display_name":"Philipp Eichmann","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Philipp Eichmann","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054370671","display_name":"Andrew Crotty","orcid":"https://orcid.org/0000-0002-8544-0982"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Crotty","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015321203","display_name":"Alexander Galakatos","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Galakatos","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069672953","display_name":"Emanuel Zgraggen","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emanuel Zgraggen","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064858317"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":0.3641,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6764131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2536","last_page":"2542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9983000159263611,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8675835132598877},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.7214859127998352},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5883083343505859},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5398046970367432},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5191428065299988},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.504984438419342},{"id":"https://openalex.org/keywords/temporal-logic","display_name":"Temporal logic","score":0.4375571012496948},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4287590980529785},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4142683744430542},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39017537236213684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8675835132598877},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.7214859127998352},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5883083343505859},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5398046970367432},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5191428065299988},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.504984438419342},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.4375571012496948},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4287590980529785},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4142683744430542},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39017537236213684},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3027063.3053222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3027063.3053222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1548778934","https://openalex.org/W1576209423","https://openalex.org/W1602598615","https://openalex.org/W1988711344","https://openalex.org/W2035714874","https://openalex.org/W2044222306","https://openalex.org/W2054627295","https://openalex.org/W2085103832","https://openalex.org/W2100565272","https://openalex.org/W2112363800","https://openalex.org/W2122060742","https://openalex.org/W2138199375","https://openalex.org/W2141920797","https://openalex.org/W2147353820","https://openalex.org/W2161133721","https://openalex.org/W2294212155"],"related_works":["https://openalex.org/W2115125467","https://openalex.org/W1553306461","https://openalex.org/W1508993047","https://openalex.org/W1848392865","https://openalex.org/W2752555098","https://openalex.org/W2528854787","https://openalex.org/W1964306497","https://openalex.org/W117254605","https://openalex.org/W118671747","https://openalex.org/W2104016983"],"abstract_inverted_index":{"Analysis,":[0],"exploration,":[1],"and":[2],"visualization":[3],"of":[4,15,20,74,77],"time-oriented":[5],"data":[6,65],"are":[7],"ubiquitous":[8],"tasks":[9],"in":[10,25,41,67,100],"various":[11],"application":[12],"domains,":[13],"all":[14],"which":[16],"involve":[17],"the":[18,28,72,75,97],"execution":[19],"temporal":[21,39,68,105],"queries.":[22,69],"Prior":[23],"research":[24],"interactively":[26],"specifying":[27],"time":[29,61,92,111],"component":[30],"for":[31],"such":[32],"queries":[33],"has":[34,52],"been":[35,53],"focused":[36],"on":[37,57],"defining":[38],"relationships":[40],"data,":[42],"i.e.,":[43],"querying":[44],"event":[45],"sequences":[46],"through":[47,113],"ordinal":[48],"patterns.":[49],"However,":[50],"there":[51],"much":[54],"less":[55],"emphasis":[56],"how":[58],"to":[59,89,103],"specify":[60],"as":[62],"a":[63,82,114],"quantitative":[64],"dimension":[66],"Motivated":[70],"by":[71],"advent":[73],"Internet":[76],"Things":[78],"(IoT),":[79],"we":[80],"present":[81],"formal":[83],"model":[84,95],"that":[85,108],"can":[86],"be":[87],"used":[88],"represent":[90],"complex":[91],"specifications.":[93],"Our":[94],"is":[96],"first":[98],"step":[99],"an":[101],"effort":[102],"enhance":[104],"user":[106],"interfaces":[107],"enables":[109],"discrete":[110],"specifications":[112],"visual":[115],"query":[116],"interface.":[117]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}