乐胖代购免代理版

{"id":"https://openalex.org/W4377148708","doi":"https://doi.org/10.48550/arxiv.2305.11068","title":"ORKG-Leaderboards: A Systematic Workflow for Mining Leaderboards as a Knowledge Graph","display_name":"ORKG-Leaderboards: A Systematic Workflow for Mining Leaderboards as a Knowledge Graph","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377148708","doi":"https://doi.org/10.48550/arxiv.2305.11068"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.11068","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2305.11068","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050975327","display_name":"Salomon Kabongo","orcid":"https://orcid.org/0000-0002-0021-9729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kabongo, Salomon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017940779","display_name":"Jennifer D\u2019Souza","orcid":"https://orcid.org/0000-0002-6616-9509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D'Souza, Jennifer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071765665","display_name":"S\u00f6ren Auer","orcid":"https://orcid.org/0000-0002-0698-2864"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Auer, S\u00f6ren","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9739,"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":0.9739,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9716,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9696,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical Research","score":0.43779698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82635903},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.70646894},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5436255},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.45304254},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43822798},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.43779698},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.433354},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43037388},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.4236832},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.330856},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25831303},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22915259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.11068","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.11068","pdf_url":"http://arxiv.org/pdf/2305.11068","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2305.11068","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.11068","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.63,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4315705795","https://openalex.org/W4245395944","https://openalex.org/W2562731034","https://openalex.org/W2143551613","https://openalex.org/W2143345456","https://openalex.org/W2138823233","https://openalex.org/W2101053337","https://openalex.org/W1979740464","https://openalex.org/W1870651561","https://openalex.org/W1789991335"],"abstract_inverted_index":{"The":[0,31],"purpose":[1],"of":[2,23,39,68,84,96,99,123,139],"this":[3],"work":[4],"is":[5,53],"to":[6,12,113,130,201],"describe":[7],"the":[8,36,51,56,65,72,78,89,94,102,111,119,132,140,144,164,176,197,214],"Orkg-Leaderboard":[9],"software":[10,32],"designed":[11],"extract":[13],"leaderboards":[14],"defined":[15],"as":[16,43,47],"Task-Dataset-Metric":[17],"tuples":[18],"automatically":[19],"from":[20],"large":[21],"collections":[22],"empirical":[24,97,108],"research":[25,109],"papers":[26],"in":[27,107,134,192,213],"Artificial":[28],"Intelligence":[29],"(AI).":[30],"can":[33],"support":[34],"both":[35],"main":[37],"workflows":[38],"scholarly":[40,69],"publishing,":[41],"viz.":[42],"LaTeX":[44],"files":[45],"or":[46],"PDF":[48],"files.":[49],"Furthermore,":[50],"system":[52,73],"integrated":[54,76],"with":[55,110,136],"Open":[57],"Research":[58],"Knowledge":[59],"Graph":[60],"(ORKG)":[61],"platform,":[62],"which":[63,206],"fosters":[64],"machine-actionable":[66,86,165],"publishing":[67],"findings.":[70],"Thus":[71],"output,":[74],"when":[75],"within":[77],"ORKG's":[79],"supported":[80],"Semantic":[81],"Web":[82],"infrastructure":[83],"representing":[85],"'resources'":[87],"on":[88,118,175],"Web,":[90],"enables:":[91],"1)":[92],"broadly,":[93],"integration":[95],"results":[98],"researchers":[100,129],"across":[101,143],"world,":[103],"thus":[104,180],"enabling":[105],"transparency":[106],"potential":[112],"also":[114],"being":[115],"complete":[116],"contingent":[117],"underlying":[120],"data":[121],"source(s)":[122],"publications;":[124],"and":[125,149,160],"2)":[126],"specifically,":[127],"enables":[128],"track":[131],"progress":[133],"AI":[135,147],"an":[137,202],"overview":[138],"state-of-the-art":[141],"(SOTA)":[142],"most":[145],"common":[146],"tasks":[148],"their":[150],"corresponding":[151],"datasets":[152],"via":[153],"dynamic":[154],"ORKG":[155],"frontend":[156],"views":[157],"leveraging":[158],"tables":[159],"visualization":[161],"charts":[162],"over":[163],"data.":[166],"Our":[167],"best":[168],"model":[169],"achieves":[170],"performances":[171],"above":[172],"90%":[173],"F1":[174],"\\textit{leaderboard}":[177],"extraction":[178,199],"task,":[179,205],"proving":[181],"Orkg-Leaderboards":[182,195],"a":[183,193,210,216],"practically":[184],"viable":[185],"tool":[186],"for":[187,209],"real-world":[188],"usage.":[189],"Going":[190],"forward,":[191],"sense,":[194],"transforms":[196],"leaderboard":[198],"task":[200],"automated":[203],"digitalization":[204],"has":[207],"been,":[208],"long":[211],"time":[212],"community,":[215],"crowdsourced":[217],"endeavor.":[218]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4377148708","counts_by_year":[],"updated_date":"2025-02-23T04:30:16.280602","created_date":"2023-05-21"}