{"id":"https://openalex.org/W4291908231","doi":"https://doi.org/10.1109/icccs55155.2022.9845845","title":"Research on the Construction of Maritime Legal Knowledge Graph","display_name":"Research on the Construction of Maritime Legal Knowledge Graph","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4291908231","doi":"https://doi.org/10.1109/icccs55155.2022.9845845"},"language":"en","primary_location":{"id":"doi:10.1109/icccs55155.2022.9845845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9845845","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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":null,"display_name":"Liu Yiming","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu Yiming","raw_affiliation_strings":["Naval University of Engineering,School of Electronic Engineering,Wuhan,China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering,School of Electronic Engineering,Wuhan,China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112081928","display_name":"Duan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duan Li","raw_affiliation_strings":["Naval University of Engineering,School of Electronic Engineering,Wuhan,China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering,School of Electronic Engineering,Wuhan,China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":null,"apc_paid":null,"fwci":0.313,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50503445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"22","issue":null,"first_page":"903","last_page":"908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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/T11719","display_name":"Data Quality and Management","score":0.9825999736785889,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boom","display_name":"Boom","score":0.7918627262115479},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6948385834693909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644599437713623},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5875255465507507},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.518425464630127},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5114408731460571},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.41356202960014343},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4073716104030609},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34694546461105347},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.33115798234939575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24970698356628418},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1835481822490692},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14041268825531006}],"concepts":[{"id":"https://openalex.org/C141441539","wikidata":"https://www.wikidata.org/wiki/Q1970908","display_name":"Boom","level":2,"score":0.7918627262115479},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6948385834693909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644599437713623},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5875255465507507},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.518425464630127},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5114408731460571},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.41356202960014343},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4073716104030609},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34694546461105347},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.33115798234939575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24970698356628418},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1835481822490692},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14041268825531006},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs55155.2022.9845845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9845845","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W160339868","https://openalex.org/W1512387364","https://openalex.org/W2022166150","https://openalex.org/W2080133951","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2157272674","https://openalex.org/W2392125543","https://openalex.org/W2610815649","https://openalex.org/W2796665858","https://openalex.org/W2933602294","https://openalex.org/W3002881589","https://openalex.org/W3028968453","https://openalex.org/W3034364750","https://openalex.org/W6606482852","https://openalex.org/W6683024474","https://openalex.org/W6761444737"],"related_works":["https://openalex.org/W3157828377","https://openalex.org/W2468296273","https://openalex.org/W2019158987","https://openalex.org/W4377992839","https://openalex.org/W2937168573","https://openalex.org/W2261525379","https://openalex.org/W2805468299","https://openalex.org/W4292070284","https://openalex.org/W4231652189","https://openalex.org/W2889935511"],"abstract_inverted_index":{"As":[0],"the":[1,5,14,17,20,25,30,74,102,112,116],"marine":[2],"industry":[3],"booms,":[4],"maritime":[6,33,49,63,75,117],"legal":[7,50,55,76,118],"documents":[8],"are":[9,108],"of":[10,23,32],"great":[11],"importance":[12],"to":[13,39,43,52,72,100,110],"maneuver":[15],"on":[16],"sea.":[18],"However,":[19],"traditional":[21],"way":[22,42],"consulting":[24],"text":[26],"can":[27,130],"not":[28],"meet":[29],"demand":[31],"operation":[34],"nowadays.":[35],"This":[36],"paper":[37,68],"aims":[38],"explore":[40],"a":[41,70],"extract":[44,80],"and":[45,65],"strengthen":[46,101],"data":[47],"from":[48,61,82],"texts":[51],"better":[53,131],"support":[54,132],"question":[56],"answering.":[57],"To":[58,79],"mine":[59],"knowledge":[60,77,119,123],"unstructured":[62,83],"laws":[64],"regulations,":[66],"this":[67],"proposes":[69],"method":[71],"build":[73],"graph.":[78,120],"information":[81],"texts,":[84],"BERT+BiLSTM+CRF":[85],"is":[86,94],"used":[87,95],"for":[88,96],"named":[89],"entity":[90],"recognition.":[91],"DeepKE":[92],"toolkit":[93],"relation":[97],"extraction.":[98],"And":[99],"logics":[103],"between":[104],"entities,":[105],"heterogeneous":[106],"nodes":[107],"introduced":[109],"enhance":[111],"semantic":[113],"associations":[114],"in":[115,126],"The":[121],"document-enhanced":[122],"graph":[124],"expanded":[125],"scale,":[127],"so":[128],"it":[129],"subsequent":[133],"intelligent":[134],"applications.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}