{"id":"https://openalex.org/W4396843621","doi":"https://doi.org/10.1145/3589335.3651557","title":"Semantic interlinking of Immigration Data using LLMs for Knowledge Graph Construction","display_name":"Semantic interlinking of Immigration Data using LLMs for Knowledge Graph Construction","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843621","doi":"https://doi.org/10.1145/3589335.3651557"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3651557","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651557","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651557","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651557","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092580461","display_name":"Radhakrishnan Venkatakrishnan","orcid":"https://orcid.org/0000-0003-3177-8088"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Radhakrishnan Venkatakrishnan","raw_affiliation_strings":["University at Albany, Albany, New York, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany, Albany, New York, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097955035","display_name":"Emrah Tanyildizi","orcid":"https://orcid.org/0009-0000-7694-1710"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emrah Tanyildizi","raw_affiliation_strings":["University at Albany, Albany, New York, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany, Albany, New York, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050809977","display_name":"M. Abdullah Canbaz","orcid":"https://orcid.org/0000-0001-5407-6789"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Abdullah Canbaz","raw_affiliation_strings":["University at Albany, Albany, New York, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany, Albany, New York, USA","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092580461"],"corresponding_institution_ids":["https://openalex.org/I392282"],"apc_list":null,"apc_paid":null,"fwci":5.16,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9551053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"605","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9908000230789185,"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":0.9908000230789185,"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":0.9858999848365784,"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/T10028","display_name":"Topic Modeling","score":0.9854000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224314212799072},{"id":"https://openalex.org/keywords/immigration","display_name":"Immigration","score":0.5068946480751038},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49923205375671387},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.44552767276763916},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4191965162754059},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3477778434753418},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23595064878463745},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11059892177581787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224314212799072},{"id":"https://openalex.org/C70036468","wikidata":"https://www.wikidata.org/wiki/Q131288","display_name":"Immigration","level":2,"score":0.5068946480751038},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49923205375671387},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.44552767276763916},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4191965162754059},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3477778434753418},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23595064878463745},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11059892177581787},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3651557","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651557","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651557","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3651557","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651557","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651557","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843621.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2914563528","https://openalex.org/W3003265726","https://openalex.org/W3010336026","https://openalex.org/W3122498205","https://openalex.org/W3130784583","https://openalex.org/W3215457841","https://openalex.org/W4210481346","https://openalex.org/W4323841539","https://openalex.org/W4377093829"],"related_works":["https://openalex.org/W2891252757","https://openalex.org/W2005441443","https://openalex.org/W2273917609","https://openalex.org/W136810046","https://openalex.org/W3123059865","https://openalex.org/W2587158935","https://openalex.org/W3126052823","https://openalex.org/W3124033816","https://openalex.org/W3212206169","https://openalex.org/W2054026175"],"abstract_inverted_index":{"The":[0],"challenge":[1],"of":[2,80,158,193,213],"managing":[3],"immigration":[4,64,117,187],"data":[5,56,89,166,188,224],"is":[6],"exacerbated":[7],"by":[8,16,44],"its":[9],"reliance":[10],"on":[11],"paper-based,":[12],"evidence-driven":[13],"records":[14,65],"maintained":[15],"legal":[17,76,101,130,142,221],"professionals,":[18],"creating":[19],"obstacles":[20],"for":[21,88,163,172,220],"efficient":[22],"processing":[23],"and":[24,77,85,97,113,119,129,153,168,196,207,223],"analysis":[25],"due":[26],"to":[27,40,103,186],"inherent":[28],"trust":[29],"issues":[30],"with":[31,50],"AI-based":[32],"systems.":[33],"This":[34,132,190],"paper":[35],"introduces":[36],"a":[37,67,83,105,137,174,182,200,217],"cutting-edge":[38],"framework":[39,180],"surmount":[41],"these":[42],"hurdles":[43],"synergizing":[45],"Large":[46],"Language":[47],"Models":[48],"(LLMs)":[49],"Knowledge":[51,170],"Graphs":[52],"(KGs),":[53],"revolutionizing":[54],"traditional":[55],"handling":[57],"methods.":[58],"Our":[59],"method":[60],"transforms":[61],"archaic,":[62],"paper-based":[63],"into":[66,140],"structured,":[68],"interconnected":[69],"knowledge":[70,107],"network":[71],"that":[72],"intricately":[73],"mirrors":[74],"the":[75,110,121,141,150,156,211],"procedural":[78,114],"nuances":[79],"immigration,":[81],"ensuring":[82],"dynamic":[84],"trustworthy":[86,208],"platform":[87],"analysis.":[90],"Utilizing":[91],"LLMs,":[92,178,194],"we":[93],"extract":[94],"vital":[95],"entities":[96],"relationships":[98],"from":[99],"diverse":[100],"documents":[102],"forge":[104],"comprehensive":[106],"graph,":[108],"encapsulating":[109],"complex":[111],"legalities":[112],"disparities":[115],"in":[116,210],"processes":[118],"mapping":[120],"multifaceted":[122],"interactions":[123],"among":[124],"stakeholders":[125],"like":[126],"applicants,":[127],"sponsors,":[128],"experts.":[131],"graph":[133],"not":[134],"only":[135],"facilitates":[136],"deep":[138],"dive":[139],"stipulations":[143],"but":[144],"also":[145],"incorporates":[146],"them,":[147],"significantly":[148],"boosting":[149],"system's":[151],"reliability":[152],"precision.":[154],"With":[155],"integration":[157],"Retrieval":[159],"Augmented":[160,169],"Generation":[161],"(RAG)":[162],"exact,":[164],"context-aware":[165],"retrieval":[167],"Creation":[171],"developing":[173],"conversational":[175],"interface":[176],"via":[177],"our":[179],"offers":[181],"scalable,":[183],"adaptable":[184],"solution":[185],"management.":[189,226],"innovative":[191],"amalgamation":[192],"KGs,":[195],"RAG":[197],"techniques":[198],"marks":[199],"paradigm":[201],"shift":[202],"towards":[203],"more":[204],"informed,":[205],"efficient,":[206],"decision-making":[209],"sphere":[212],"global":[214],"migration,":[215],"setting":[216],"new":[218],"benchmark":[219],"technology":[222],"source":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}