{"id":"https://openalex.org/W4281382889","doi":"https://doi.org/10.1109/cscwd54268.2022.9776231","title":"An Object-Deputy Approach For Chinese Genealogy Collaborative Management","display_name":"An Object-Deputy Approach For Chinese Genealogy Collaborative Management","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4281382889","doi":"https://doi.org/10.1109/cscwd54268.2022.9776231"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd54268.2022.9776231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd54268.2022.9776231","pdf_url":null,"source":{"id":"https://openalex.org/S4363607909","display_name":"2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5100783663","display_name":"Huan Jiang","orcid":"https://orcid.org/0000-0002-8139-101X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan Jiang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072","Big Data Institute, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Big Data Institute, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101801342","display_name":"Honghao Liu","orcid":"https://orcid.org/0000-0002-3871-4581"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghao Liu","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358844","display_name":"Rongrong Li","orcid":"https://orcid.org/0000-0002-8767-3026"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Li","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072","Big Data Institute, Wuhan University, Wuhan, China","Cultural Heritage Intelligent Computing Laboratory, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Big Data Institute, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Cultural Heritage Intelligent Computing Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103281193","display_name":"Yuwei Peng","orcid":"https://orcid.org/0000-0002-6860-1342"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Peng","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072","Cultural Heritage Intelligent Computing Laboratory, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Cultural Heritage Intelligent Computing Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059600529","display_name":"Bin Xu","orcid":"https://orcid.org/0000-0003-4013-6722"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xu","raw_affiliation_strings":["Wuhan University,School of History,Wuhan,China,430072","Big Data Institute, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of History,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Big Data Institute, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030775865","display_name":"Zhiyong Peng","orcid":"https://orcid.org/0000-0002-0849-5648"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Peng","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072","Cultural Heritage Intelligent Computing Laboratory, Wuhan University, Wuhan, China","Big Data Institute, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Cultural Heritage Intelligent Computing Laboratory, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Big Data Institute, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100783663"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06266738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9991999864578247,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9969000220298767,"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":0.9837999939918518,"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":0.6827201843261719},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5762213468551636},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5455477237701416},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5444245934486389},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5024466514587402},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4280470609664917},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4243730902671814},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.41192081570625305},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3794170022010803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3295779824256897},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32043784856796265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28493767976760864},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13413721323013306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827201843261719},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5762213468551636},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5455477237701416},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5444245934486389},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5024466514587402},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4280470609664917},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4243730902671814},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.41192081570625305},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3794170022010803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3295779824256897},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32043784856796265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28493767976760864},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13413721323013306},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd54268.2022.9776231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd54268.2022.9776231","pdf_url":null,"source":{"id":"https://openalex.org/S4363607909","display_name":"2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1597478676","https://openalex.org/W1614298861","https://openalex.org/W2009439979","https://openalex.org/W2116904179","https://openalex.org/W2146215857","https://openalex.org/W2149058621","https://openalex.org/W2165972381","https://openalex.org/W2609949944","https://openalex.org/W2760894766","https://openalex.org/W2892098802","https://openalex.org/W2954837331","https://openalex.org/W2964182980","https://openalex.org/W3085422195","https://openalex.org/W3086622793","https://openalex.org/W3094960413","https://openalex.org/W3128247534","https://openalex.org/W6636510571","https://openalex.org/W6684486588"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W2741131631","https://openalex.org/W2156919374","https://openalex.org/W1483472507","https://openalex.org/W1984019423","https://openalex.org/W4280588203"],"abstract_inverted_index":{"Chinese":[0,43,64],"genealogy":[1,44,65],"management":[2,21],"systems":[3,26],"support":[4,27],"many":[5],"functions,":[6],"such":[7],"as":[8],"making":[9],"genealogy,":[10],"retrieval":[11],"and":[12,66,81,110,132],"so":[13],"on.":[14],"Due":[15],"to":[16,40,62],"the":[17,42,50,59,78,126,130,139],"lack":[18],"of":[19,22,52,141],"collaborative":[20],"genealogical":[23,28,98],"data,":[24],"few":[25],"analysis,":[29],"especially":[30],"event":[31,83,99,135],"analysis.":[32],"In":[33],"this":[34,74],"paper,":[35],"we":[36,48,57,76,87],"propose":[37,88],"an":[38],"approach":[39],"manage":[41],"collaboratively.":[45],"At":[46],"first,":[47],"analyze":[49],"semantics":[51,96,128],"entities":[53],"in":[54,69],"genealogy.":[55],"Then":[56],"introduce":[58],"Object-Deputy":[60,127],"mechanism":[61],"model":[63,92,124],"implement":[67],"it":[68],"Totem":[70],"database.":[71],"Based":[72],"on":[73],"model,":[75],"study":[77],"common":[79],"queries":[80],"general":[82],"relation":[84],"inference.":[85],"Additionally,":[86],"a":[89],"deep":[90],"learning":[91],"integrating":[93,125],"Object":[94],"Deputy":[95],"for":[97,134],"reasoning.":[100,136],"Experiments":[101],"show":[102],"that":[103],"our":[104,123,142],"method":[105,118],"requires":[106],"less":[107],"storage":[108],"space":[109],"achieves":[111],"better":[112],"query":[113],"performance":[114],"compared":[115],"with":[116],"relational":[117],"or":[119],"graph":[120],"method.":[121],"Especially,":[122],"promotes":[129],"accuracy":[131],"recall":[133],"It":[137],"proves":[138],"effectiveness":[140],"approach.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}