{"id":"https://openalex.org/W2015814595","doi":"https://doi.org/10.1145/2644866.2644872","title":"ARCTIC","display_name":"ARCTIC","publication_year":2014,"publication_date":"2014-09-16","ids":{"openalex":"https://openalex.org/W2015814595","doi":"https://doi.org/10.1145/2644866.2644872","mag":"2015814595"},"language":"en","primary_location":{"id":"doi:10.1145/2644866.2644872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2644866.2644872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM symposium on Document engineering","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/A5063755234","display_name":"Alan Pinto Souza","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Alan Souza","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037408511","display_name":"Viviane P. Moreira","orcid":"https://orcid.org/0000-0003-4400-054X"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Viviane Moreira","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087961756","display_name":"Carlos A. Heuser","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos Heuser","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063755234"],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73310906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.9592252969741821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8160919547080994},{"id":"https://openalex.org/keywords/database-catalog","display_name":"Database catalog","score":0.6454604268074036},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6452072262763977},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5756963491439819},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.566301703453064},{"id":"https://openalex.org/keywords/data-element","display_name":"Data element","score":0.5571693778038025},{"id":"https://openalex.org/keywords/meta-data-services","display_name":"Meta Data Services","score":0.5286593437194824},{"id":"https://openalex.org/keywords/metadata-repository","display_name":"Metadata repository","score":0.5239710211753845},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5177590250968933},{"id":"https://openalex.org/keywords/metadata-modeling","display_name":"Metadata modeling","score":0.5022246837615967},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4731220602989197},{"id":"https://openalex.org/keywords/geospatial-metadata","display_name":"Geospatial metadata","score":0.4566059112548828},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.39047402143478394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18821454048156738}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.9592252969741821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8160919547080994},{"id":"https://openalex.org/C65610166","wikidata":"https://www.wikidata.org/wiki/Q5227399","display_name":"Database catalog","level":4,"score":0.6454604268074036},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6452072262763977},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5756963491439819},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.566301703453064},{"id":"https://openalex.org/C30872290","wikidata":"https://www.wikidata.org/wiki/Q1172389","display_name":"Data element","level":3,"score":0.5571693778038025},{"id":"https://openalex.org/C136976847","wikidata":"https://www.wikidata.org/wiki/Q6822297","display_name":"Meta Data Services","level":4,"score":0.5286593437194824},{"id":"https://openalex.org/C153048206","wikidata":"https://www.wikidata.org/wiki/Q3454922","display_name":"Metadata repository","level":3,"score":0.5239710211753845},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5177590250968933},{"id":"https://openalex.org/C110326360","wikidata":"https://www.wikidata.org/wiki/Q17149476","display_name":"Metadata modeling","level":4,"score":0.5022246837615967},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4731220602989197},{"id":"https://openalex.org/C193150823","wikidata":"https://www.wikidata.org/wiki/Q1477538","display_name":"Geospatial metadata","level":5,"score":0.4566059112548828},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39047402143478394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18821454048156738},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2644866.2644872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2644866.2644872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM symposium on Document engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1742207884","display_name":null,"funder_award_id":"478979/2012-6","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1484468390","https://openalex.org/W1544505227","https://openalex.org/W1559499673","https://openalex.org/W1568339100","https://openalex.org/W2034222664","https://openalex.org/W2064354603","https://openalex.org/W2098564132","https://openalex.org/W2147880316","https://openalex.org/W2151220468","https://openalex.org/W2158789913","https://openalex.org/W2166500779"],"related_works":["https://openalex.org/W2374379029","https://openalex.org/W3084772717","https://openalex.org/W2360250168","https://openalex.org/W132275995","https://openalex.org/W2366289621","https://openalex.org/W2373398412","https://openalex.org/W2018424284","https://openalex.org/W2377512824","https://openalex.org/W1966918112","https://openalex.org/W3199469221"],"abstract_inverted_index":{"Most":[0],"scientific":[1,74,116],"articles":[2],"are":[3],"available":[4],"in":[5,61],"PDF":[6,9,112],"format.":[7],"The":[8,87],"standard":[10],"allows":[11],"the":[12,20,57,93,100,107,120,145,150],"generation":[13],"of":[14,56,140,155],"metadata":[15,46,49,71,97],"that":[16],"is":[17],"included":[18],"within":[19],"document.":[21],"However,":[22],"many":[23],"authors":[24],"do":[25],"not":[26],"define":[27],"this":[28,31],"information,":[29,98],"making":[30],"feature":[32],"unreliable":[33],"or":[34],"incomplete.":[35],"This":[36,64],"fact":[37],"has":[38,51],"been":[39,52],"motivating":[40],"research":[41],"which":[42,76],"aims":[43,90],"to":[44],"extract":[45],"automatically.":[47],"Automatic":[48],"extraction":[50,72],"identified":[53],"as":[54,149],"one":[55],"most":[58],"challenging":[59],"tasks":[60],"document":[62],"engineering.":[63],"work":[65],"proposes":[66],"Artic,":[67],"a":[68,78,111,115,138,153],"method":[69],"for":[70,104],"from":[73,137],"papers":[75,136],"employs":[77],"two-layer":[79],"probabilistic":[80],"framework":[81],"based":[82],"on":[83,131],"Conditional":[84],"Random":[85],"Fields.":[86],"first":[88],"layer":[89,102],"at":[91],"identifying":[92],"main":[94],"sections":[95],"with":[96],"and":[99,126],"second":[101],"finds,":[103],"each":[105],"section,":[106],"corresponding":[108],"metadata.":[109],"Given":[110],"file":[113],"containing":[114],"paper,":[117],"Artic":[118],"extracts":[119],"title,":[121],"author":[122],"names,":[123],"emails,":[124],"affiliations,":[125],"venue":[127],"information.":[128],"We":[129],"report":[130],"experiments":[132],"using":[133],"100":[134],"real":[135],"variety":[139],"publishers.":[141],"Our":[142],"results":[143],"outperformed":[144],"state-of-the-art":[146],"system":[147],"used":[148],"baseline,":[151],"achieving":[152],"precision":[154],"over":[156],"99%.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}