{"id":"https://openalex.org/W2910507967","doi":"https://doi.org/10.1145/3291801.3291823","title":"Extracting Courses of Vessels from AIS Data and Real-Time Warning Against Off-Course","display_name":"Extracting Courses of Vessels from AIS Data and Real-Time Warning Against Off-Course","publication_year":2018,"publication_date":"2018-10-27","ids":{"openalex":"https://openalex.org/W2910507967","doi":"https://doi.org/10.1145/3291801.3291823","mag":"2910507967"},"language":"en","primary_location":{"id":"doi:10.1145/3291801.3291823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291801.3291823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Research","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/A5060627916","display_name":"Iwao Fujino","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Iwao Fujino","raw_affiliation_strings":["Tokai University, Minato Ward, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokai University, Minato Ward, Tokyo, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027849780","display_name":"Christophe Claramunt","orcid":"https://orcid.org/0000-0002-5586-1997"},"institutions":[{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Claramunt","raw_affiliation_strings":["Shanghai Maritime University & Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University & Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France","institution_ids":["https://openalex.org/I2801296886"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004893718","display_name":"Abdel\u2010Ouahab Boudraa","orcid":"https://orcid.org/0000-0002-1864-2859"},"institutions":[{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdel-Ouahab Boudraa","raw_affiliation_strings":["Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Academy Research Institute, Lanv\u00e9oc-Poulmic, France","institution_ids":["https://openalex.org/I2801296886"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7501,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84160677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9016000032424927,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7932389378547668},{"id":"https://openalex.org/keywords/course","display_name":"Course (navigation)","score":0.7904275059700012},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6615738272666931},{"id":"https://openalex.org/keywords/automatic-identification-system","display_name":"Automatic Identification System","score":0.6027968525886536},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5921238660812378},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5887831449508667},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.563653826713562},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5344862937927246},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.49026206135749817},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47822874784469604},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.4252455234527588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3884805142879486},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32999324798583984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932389378547668},{"id":"https://openalex.org/C2777552389","wikidata":"https://www.wikidata.org/wiki/Q1962728","display_name":"Course (navigation)","level":2,"score":0.7904275059700012},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6615738272666931},{"id":"https://openalex.org/C146997752","wikidata":"https://www.wikidata.org/wiki/Q787197","display_name":"Automatic Identification System","level":2,"score":0.6027968525886536},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5921238660812378},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5887831449508667},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.563653826713562},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5344862937927246},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49026206135749817},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47822874784469604},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.4252455234527588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3884805142879486},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32999324798583984},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3291801.3291823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3291801.3291823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Research","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":14,"referenced_works":["https://openalex.org/W1836180297","https://openalex.org/W1841511816","https://openalex.org/W1880262756","https://openalex.org/W2063666345","https://openalex.org/W2083442964","https://openalex.org/W2110934250","https://openalex.org/W2119533681","https://openalex.org/W2130494750","https://openalex.org/W2134383396","https://openalex.org/W2180402105","https://openalex.org/W2470830847","https://openalex.org/W2605122712","https://openalex.org/W2913399920","https://openalex.org/W4244017338"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Automatic":[0],"Identification":[1],"System":[2],"(AIS)":[3],"broadcasts":[4],"real-time":[5,119],"information":[6],"from":[7,15,58,64,109,150],"moving":[8,16],"vessels":[9,17],"at":[10],"sea.":[11],"AIS":[12,59,110,152],"data":[13,30,91,153],"collected":[14],"over":[18],"an":[19,115],"area":[20],"of":[21,34,49,89,138,146,158],"interest":[22,37],"can":[23,31],"rapidly":[24],"generates":[25],"large":[26],"datasets,":[27],"while":[28],"such":[29],"be":[32],"also":[33,134],"very":[35],"much":[36],"for":[38,80,118],"deriving":[39],"maritime":[40],"trajectory":[41,131],"patterns":[42,83,108],"or":[43],"anomaly":[44,53],"events.":[45],"Besides":[46],"a":[47,72,77,102,126,144,156],"number":[48],"route":[50],"discovery":[51],"and":[52,67,86,112],"detection":[54],"techniques":[55],"currently":[56],"derived":[57,149],"data,":[60,111],"it":[61],"appears,":[62],"that":[63],"machine":[65],"learning":[66],"natural":[68],"language":[69],"processing":[70],"principles,":[71],"topic":[73,103],"model":[74,104],"might":[75],"provide":[76],"novel":[78],"approach":[79,117,140],"extracting":[81],"implicit":[82],"underlying":[84],"massive":[85],"unstructured":[87],"collection":[88],"incoming":[90],"considered":[92],"as":[93],"documents.":[94],"Inspired":[95],"by":[96,143],"this":[97],"idea,":[98],"we":[99],"first":[100],"applied":[101],"to":[105],"extract":[106],"course":[107,127],"then":[113],"developed":[114],"algorithm-based":[116],"warning":[120],"against":[121],"off":[122],"course.":[123],"In":[124],"fact,":[125],"not":[128],"only":[129],"encompasses":[130],"locations,":[132],"but":[133],"headings.":[135],"The":[136],"potential":[137],"the":[139],"is":[141],"illustrated":[142],"series":[145],"experimental":[147],"results":[148],"practical":[151],"set":[154],"in":[155],"region":[157],"North":[159],"West":[160],"France.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}