{"id":"https://openalex.org/W3197141871","doi":"https://doi.org/10.1007/s42979-022-01415-3","title":"An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining","display_name":"An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining","publication_year":2022,"publication_date":"2022-10-17","ids":{"openalex":"https://openalex.org/W3197141871","doi":"https://doi.org/10.1007/s42979-022-01415-3","mag":"3197141871"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-022-01415-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-022-01415-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-022-01415-3.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-022-01415-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100404392","display_name":"Ziqi Zhang","orcid":"https://orcid.org/0000-0002-8587-8618"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ziqi Zhang","raw_affiliation_strings":["Information School, University of Sheffield, Regent Court, 211 Portobello, Sheffield, South Yorkshire, S1 4DP, UK"],"raw_orcid":"https://orcid.org/0000-0002-8587-8618","affiliations":[{"raw_affiliation_string":"Information School, University of Sheffield, Regent Court, 211 Portobello, Sheffield, South Yorkshire, S1 4DP, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019126151","display_name":"Xingyi Song","orcid":"https://orcid.org/0000-0002-4188-6974"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xingyi Song","raw_affiliation_strings":["Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield, South Yorkshire, S1 4DP, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield, South Yorkshire, S1 4DP, UK","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100404392"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.2774,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60203358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9876999855041504,"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":0.9876999855041504,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9726999998092651,"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":0.8313038349151611},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5818273425102234},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4597201347351074},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4597165584564209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44345730543136597},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4203720986843109},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4123656153678894},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3590322732925415},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.35399699211120605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313038349151611},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5818273425102234},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4597201347351074},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4597165584564209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44345730543136597},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4203720986843109},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4123656153678894},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3590322732925415},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.35399699211120605},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s42979-022-01415-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-022-01415-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-022-01415-3.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:192543","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.whiterose.ac.uk/192543/1/s42979-022-01415-3.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s42979-022-01415-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-022-01415-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-022-01415-3.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197141871.pdf","grobid_xml":"https://content.openalex.org/works/W3197141871.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W182640489","https://openalex.org/W1595020351","https://openalex.org/W1832693441","https://openalex.org/W1973642381","https://openalex.org/W2024105308","https://openalex.org/W2030432398","https://openalex.org/W2043437843","https://openalex.org/W2045968013","https://openalex.org/W2061760029","https://openalex.org/W2075783691","https://openalex.org/W2094570821","https://openalex.org/W2100335205","https://openalex.org/W2131744502","https://openalex.org/W2147458937","https://openalex.org/W2153579005","https://openalex.org/W2162777223","https://openalex.org/W2200092826","https://openalex.org/W2238917604","https://openalex.org/W2293569829","https://openalex.org/W2295145075","https://openalex.org/W2295639288","https://openalex.org/W2409897154","https://openalex.org/W2493916176","https://openalex.org/W2510938745","https://openalex.org/W2579710467","https://openalex.org/W2598789561","https://openalex.org/W2619948196","https://openalex.org/W2741511332","https://openalex.org/W2747793578","https://openalex.org/W2779799900","https://openalex.org/W2780136555","https://openalex.org/W2798649495","https://openalex.org/W2807329228","https://openalex.org/W2885625746","https://openalex.org/W2889910479","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2911489562","https://openalex.org/W2914386313","https://openalex.org/W2914730854","https://openalex.org/W2920313468","https://openalex.org/W2927581056","https://openalex.org/W2941782264","https://openalex.org/W2945883855","https://openalex.org/W2946524278","https://openalex.org/W2947088031","https://openalex.org/W2963279620","https://openalex.org/W2963551855","https://openalex.org/W2963716420","https://openalex.org/W2963717821","https://openalex.org/W2964098600","https://openalex.org/W2965018346","https://openalex.org/W2965084199","https://openalex.org/W2965373594","https://openalex.org/W2966963688","https://openalex.org/W2970438301","https://openalex.org/W2970771982","https://openalex.org/W2980918163","https://openalex.org/W2989857117","https://openalex.org/W3009436785","https://openalex.org/W3019162715","https://openalex.org/W3043899196","https://openalex.org/W3046014080","https://openalex.org/W3080592272","https://openalex.org/W3174836606","https://openalex.org/W3175423875","https://openalex.org/W3198695837","https://openalex.org/W3199704160","https://openalex.org/W3202040051","https://openalex.org/W4206134861","https://openalex.org/W6752264108"],"related_works":["https://openalex.org/W2775554247","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111","https://openalex.org/W4327642362","https://openalex.org/W2587014613","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W2892839738"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"Linked":[2],"Open":[3],"Data":[4],"practice":[5],"has":[6,20],"led":[7],"to":[8,48,69,94,133,165,173,182,192,224],"a":[9,36,131,198,218],"significant":[10],"growth":[11],"of":[12,30,38,84,91,98,118,158],"structured":[13,67,85],"data":[14,44,68,75,86],"on":[15,41,56,177,188,242],"the":[16,28,57,89,167,175],"Web.":[17],"While":[18],"this":[19],"created":[21],"an":[22,155],"unprecedented":[23],"opportunity":[24],"for":[25,73,109],"research":[26,249],"in":[27,88,105,143,185],"field":[29],"Natural":[31],"Language":[32],"Processing,":[33],"there":[34],"is":[35],"lack":[37],"systematic":[39],"studies":[40,195],"how":[42,62,243],"such":[43,66,204],"can":[45,64,246],"be":[46,166,229],"used":[47,104,129],"support":[49],"downstream":[50,145],"NLP":[51],"tasks.":[52,77],"This":[53],"work":[54,216],"focuses":[55],"e-commerce":[58],"domain":[59],"and":[60,122,150,170,240,250],"explores":[61],"we":[63,81],"use":[65],"create":[70,95],"language":[71,111,120,138,208],"resources":[72,139],"product":[74,147],"mining":[76],"To":[78],"do":[79],"so,":[80],"process":[82],"billions":[83],"points":[87,184],"form":[90],"RDF":[92],"n-quads,":[93],"multi-million":[96],"words":[97],"product-related":[99,135],"corpora":[100],"that":[101,127,196,220],"are":[102,128,140],"later":[103],"three":[106,144],"different":[107],"ways":[108],"creating":[110],"resources:":[112],"training":[113,123],"word-embedding":[114],"models,":[115,121],"continued":[116],"pre-training":[117,211],"BERT-like":[119],"machine":[124],"translation":[125],"models":[126,209],"as":[130,205,230,232],"proxy":[132],"generate":[134],"keywords.":[136],"These":[137],"then":[141],"evaluated":[142],"tasks,":[146],"classification,":[148],"linking,":[149],"fake":[151],"review":[152],"detection":[153],"using":[154,212],"extensive":[156],"set":[157],"benchmarks.":[159],"Our":[160],"results":[161],"show":[162],"word":[163],"embeddings":[164],"most":[168],"reliable":[169],"consistent":[171],"method":[172],"improve":[174],"accuracy":[176],"all":[178],"tasks":[179],"(with":[180],"up":[181],"6.9%":[183],"macro-average":[186],"F1":[187],"some":[189,193],"datasets).":[190],"Contrary":[191],"earlier":[194],"suggest":[197],"rather":[199],"simple":[200],"but":[201],"effective":[202],"approach":[203],"building":[206],"domain-specific":[207],"by":[210],"in-domain":[213],"corpora,":[214],"our":[215,238,244],"serves":[217],"lesson":[219],"adapting":[221],"these":[222],"methods":[223],"new":[225],"domains":[226],"may":[227],"not":[228],"easy":[231],"it":[233],"seems.":[234],"We":[235],"further":[236],"analyse":[237],"datasets":[239],"reflect":[241],"findings":[245],"inform":[247],"future":[248],"practice.":[251]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}