{"id":"https://openalex.org/W2891586027","doi":"https://doi.org/10.1109/access.2018.2868516","title":"Research on the Method of Extracting Domain Knowledge From the Freebase RDF Dumps","display_name":"Research on the Method of Extracting Domain Knowledge From the Freebase RDF Dumps","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891586027","doi":"https://doi.org/10.1109/access.2018.2868516","mag":"2891586027"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2868516","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2868516","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2868516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070419519","display_name":"Deyan Chen","orcid":"https://orcid.org/0000-0001-8141-662X"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deyan Chen","raw_affiliation_strings":["Healthcare IT Division, Neusoft Corporation, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-8141-662X","affiliations":[{"raw_affiliation_string":"Healthcare IT Division, Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101793096","display_name":"Hong Zhao","orcid":"https://orcid.org/0000-0002-9164-1414"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhao","raw_affiliation_strings":["State Key Laboratory of Software Architecture, Neusoft Corporation, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Architecture, Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070419519"],"corresponding_institution_ids":["https://openalex.org/I4210134419"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6775,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77922951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"50306","last_page":"50322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9968000054359436,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9825999736785889,"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":0.8990986943244934},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.7110483646392822},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.628836452960968},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5938225388526917},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5666179060935974},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5573062896728516},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5505983829498291},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.5384706258773804},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5018801689147949},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.49986696243286133},{"id":"https://openalex.org/keywords/reusability","display_name":"Reusability","score":0.43143656849861145},{"id":"https://openalex.org/keywords/domain-analysis","display_name":"Domain analysis","score":0.4263351261615753},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4175182580947876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40785497426986694},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3976823091506958},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3731141984462738},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.3574488162994385},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2915596663951874},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.28314781188964844},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.18855321407318115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.158506840467453},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13562187552452087},{"id":"https://openalex.org/keywords/software-system","display_name":"Software system","score":0.11472010612487793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8990986943244934},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.7110483646392822},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.628836452960968},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5938225388526917},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5666179060935974},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5573062896728516},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5505983829498291},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.5384706258773804},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5018801689147949},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.49986696243286133},{"id":"https://openalex.org/C137981799","wikidata":"https://www.wikidata.org/wiki/Q1369184","display_name":"Reusability","level":3,"score":0.43143656849861145},{"id":"https://openalex.org/C15708719","wikidata":"https://www.wikidata.org/wiki/Q2271801","display_name":"Domain analysis","level":5,"score":0.4263351261615753},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4175182580947876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40785497426986694},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3976823091506958},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3731141984462738},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.3574488162994385},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2915596663951874},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.28314781188964844},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.18855321407318115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.158506840467453},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13562187552452087},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.11472010612487793},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2868516","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2868516","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:064168a055e9489cb147c88d7d0e796d","is_oa":true,"landing_page_url":"https://doaj.org/article/064168a055e9489cb147c88d7d0e796d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 50306-50322 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2868516","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2868516","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3868204561","display_name":null,"funder_award_id":"2016YFC1303000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4512837029","display_name":null,"funder_award_id":"61232015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1525432201","https://openalex.org/W1548346924","https://openalex.org/W1654805921","https://openalex.org/W1970665099","https://openalex.org/W1978097159","https://openalex.org/W2014020335","https://openalex.org/W2038187915","https://openalex.org/W2042037135","https://openalex.org/W2094728533","https://openalex.org/W2122865749","https://openalex.org/W2132045160","https://openalex.org/W2139535184","https://openalex.org/W2160705305","https://openalex.org/W2188326784","https://openalex.org/W2295754318","https://openalex.org/W2777198442","https://openalex.org/W4239696231","https://openalex.org/W4285719527","https://openalex.org/W6604189946","https://openalex.org/W6637382961","https://openalex.org/W6687115571"],"related_works":["https://openalex.org/W4206665951","https://openalex.org/W2079781157","https://openalex.org/W3082761338","https://openalex.org/W4296056063","https://openalex.org/W3171256892","https://openalex.org/W3107051279","https://openalex.org/W4301152651","https://openalex.org/W1935612762","https://openalex.org/W2615202182","https://openalex.org/W1547764714"],"abstract_inverted_index":{"In":[0,116],"the":[1,26,35,38,61,71,83,93,109,122,141,147,151,161,168,172,182,188,195,198,204,212],"process":[2,186],"of":[3,25,37,99,124,167,187,197,206,216],"constructing":[4],"a":[5,51,97,130],"domain":[6,15,27,39,62,68,134,148],"semantic":[7,28,40,63,152],"knowledge":[8,16,29,41,64,69,135,149],"base":[9,30],"based":[10],"on":[11],"ontologies,":[12],"reusing":[13],"existing":[14,125],"bases":[17],"not":[18],"only":[19],"facilitates":[20],"sharing,":[21],"integration,":[22],"and":[23,45,101,113,121,138,145,164,184,194,214,231],"reuse":[24],"but":[31],"also":[32],"can":[33,56],"accelerate":[34],"construction":[36],"base.":[42,65],"The":[43],"open":[44],"fast":[46],"growing":[47],"Freebase":[48,72,142],"database":[49],"is":[50,86,209],"good":[52],"data":[53,166],"source,":[54],"which":[55],"be":[57],"reused":[58],"to":[59,89,111,118,132,175],"construct":[60],"However,":[66],"extracting":[67,160],"from":[70,140],"Resource":[73],"Description":[74],"Framework":[75],"(RDF)":[76],"dumps":[77,144],"faces":[78],"many":[79],"challenges.":[80],"For":[81],"example,":[82,181],"dump":[84,94],"package":[85,95],"too":[87],"large":[88],"read":[90],"or":[91],"load;":[92],"contains":[96],"lot":[98],"unnecessary":[100],"redundant":[102],"facts;":[103],"some":[104],"ill-formed":[105],"triples":[106],"may":[107],"cause":[108],"load":[110],"fail,":[112],"so":[114],"on.":[115],"response":[117],"these":[119],"obstacles":[120],"deficiencies":[123],"research,":[126],"this":[127,207],"paper":[128,208],"proposes":[129],"method":[131,189,205],"extract":[133],"quickly,":[136],"accurately,":[137],"completely":[139],"RDF":[143],"describes":[146],"using":[150],"constructs":[153],"in":[154,192],"ontology":[155,162],"standard":[156],"description":[157],"languages.":[158],"Taking":[159],"schema":[163],"instance":[165],"medicine":[169],"domain,":[170],"including":[171,211],"facts":[173],"pointing":[174],"semantically":[176],"related":[177,217],"domains,":[178],"as":[179],"an":[180],"principle":[183],"implementation":[185],"are":[190,201],"explained":[191],"detail":[193],"algorithms":[196],"key":[199],"processes":[200],"described.":[202],"Finally,":[203],"evaluated,":[210],"comparison":[213],"analysis":[215],"methods":[218],"with":[219],"work":[220],"objectives,":[221],"software":[222],"tools":[223],"used,":[224],"processing":[225,227],"results,":[226],"performance,":[228],"accuracy,":[229],"completeness,":[230],"reusability.":[232]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}