{"id":"https://openalex.org/W4387970512","doi":"https://doi.org/10.1109/iicaiet59451.2023.10291293","title":"Leveraging Knowledge Graphs for Orphan Entity Allocation in Resume Processing","display_name":"Leveraging Knowledge Graphs for Orphan Entity Allocation in Resume Processing","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4387970512","doi":"https://doi.org/10.1109/iicaiet59451.2023.10291293"},"language":"en","primary_location":{"id":"doi:10.1109/iicaiet59451.2023.10291293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet59451.2023.10291293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","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/A5109744882","display_name":"Aagam Bakliwal","orcid":null},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aagam Bakliwal","raw_affiliation_strings":["COEP Technological University,Department of Computer Science and Engineering,Pune,Maharashtra,India","Department of Computer Science and Engineering, COEP Technological University, Pune, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"COEP Technological University,Department of Computer Science and Engineering,Pune,Maharashtra,India","institution_ids":["https://openalex.org/I878213199"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, COEP Technological University, Pune, Maharashtra, India","institution_ids":["https://openalex.org/I878213199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113031216","display_name":"Shubham Manish Gandhi","orcid":null},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubham Manish Gandhi","raw_affiliation_strings":["COEP Technological University,Department of Computer Science and Engineering,Pune,Maharashtra,India","Department of Computer Science and Engineering, COEP Technological University, Pune, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"COEP Technological University,Department of Computer Science and Engineering,Pune,Maharashtra,India","institution_ids":["https://openalex.org/I878213199"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, COEP Technological University, Pune, Maharashtra, India","institution_ids":["https://openalex.org/I878213199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039952436","display_name":"Yashodhara Haribhakta","orcid":"https://orcid.org/0000-0003-3882-4091"},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yashodhara Haribhakta","raw_affiliation_strings":["COEP Technological University,Department of Computer Science and Engineering,Pune,Maharashtra,India","Department of Computer Science and Engineering, COEP Technological University, Pune, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"COEP Technological University,Department of Computer Science and Engineering,Pune,Maharashtra,India","institution_ids":["https://openalex.org/I878213199"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, COEP Technological University, Pune, Maharashtra, India","institution_ids":["https://openalex.org/I878213199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109744882"],"corresponding_institution_ids":["https://openalex.org/I878213199"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66262121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9979000091552734,"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":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528491020202637},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5816502571105957},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5536313652992249},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5174068212509155},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.49136772751808167},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4903721809387207},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4478779137134552},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43495461344718933},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.43147796392440796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35882729291915894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32793834805488586},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.2741304337978363},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14663711190223694},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.09314820170402527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528491020202637},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5816502571105957},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5536313652992249},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5174068212509155},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.49136772751808167},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4903721809387207},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4478779137134552},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43495461344718933},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.43147796392440796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35882729291915894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32793834805488586},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2741304337978363},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14663711190223694},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.09314820170402527},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iicaiet59451.2023.10291293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet59451.2023.10291293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5299999713897705,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W588818164","https://openalex.org/W1502473750","https://openalex.org/W1940872118","https://openalex.org/W2099196804","https://openalex.org/W2108218871","https://openalex.org/W2250539671","https://openalex.org/W2561529111","https://openalex.org/W2800072438","https://openalex.org/W2906809452","https://openalex.org/W2935052563","https://openalex.org/W2970597249","https://openalex.org/W2987988965","https://openalex.org/W2998385486","https://openalex.org/W2998456908","https://openalex.org/W3034744126","https://openalex.org/W3035643691","https://openalex.org/W3159134553","https://openalex.org/W3176680950","https://openalex.org/W4200434928","https://openalex.org/W6640362995"],"related_works":["https://openalex.org/W2186562580","https://openalex.org/W3198729192","https://openalex.org/W4255258373","https://openalex.org/W2593907245","https://openalex.org/W3000685722","https://openalex.org/W2520117834","https://openalex.org/W626980589","https://openalex.org/W4313162113","https://openalex.org/W1884363728","https://openalex.org/W2963217253"],"abstract_inverted_index":{"Significant":[0],"challenges":[1],"are":[2,49,108,159],"posed":[3],"in":[4,27,130,141,152],"talent":[5],"acquisition":[6],"and":[7,11,45,63,87,95,106,113,126,149],"recruitment":[8],"by":[9,72,161],"processing":[10,29,125],"analyzing":[12],"unstructured":[13],"data,":[14],"particularly":[15],"resumes.":[16,78],"This":[17,79],"research":[18],"presents":[19],"a":[20],"novel":[21],"approach":[22],"for":[23,81,123],"orphan":[24,75,127,157],"entity":[25,43,128],"allocation":[26,129],"resume":[28,92],"using":[30],"knowledge":[31,40,139],"graphs.":[32],"Techniques":[33],"of":[34,67,99,132,138,155,164],"association":[35],"mining,":[36],"concept":[37],"extraction,":[38],"external":[39],"linking,":[41],"named":[42],"recognition,":[44],"knowl-edge":[46],"graph":[47],"construction":[48],"integrated":[50],"into":[51],"our":[52,165],"pipeline.":[53],"By":[54],"leveraging":[55],"these":[56],"techniques,":[57],"the":[58,65,68,91,97,153,162],"aim":[59],"is":[60],"to":[61],"automate":[62],"enhance":[64],"efficiency":[66],"job":[69,88],"screening":[70,93],"process":[71],"successfully":[73],"bucketing":[74],"entities":[76],"within":[77],"allows":[80],"more":[82],"effective":[83],"matching":[84],"between":[85],"candidates":[86],"positions,":[89],"streamlining":[90],"process,":[94],"enhancing":[96],"accuracy":[98],"candidate-job":[100],"matching.":[101],"The":[102,136],"approach's":[103],"exceptional":[104],"effectiveness":[105],"resilience":[107],"highlighted":[109,160],"through":[110,145],"extensive":[111],"experimentation":[112],"evaluation,":[114],"ensuring":[115],"that":[116],"alternative":[117],"measures":[118],"can":[119],"be":[120],"relied":[121],"upon":[122],"seamless":[124],"case":[131],"any":[133],"component":[134],"failure.":[135],"capabilities":[137],"graphs":[140],"generating":[142],"valuable":[143],"insights":[144],"intelligent":[146],"information":[147],"extraction":[148],"representation,":[150],"specifically":[151],"domain":[154],"categorizing":[156],"entities,":[158],"results":[163],"research.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}