{"id":"https://openalex.org/W2591763464","doi":"https://doi.org/10.1145/3130332.3130347","title":"Literature-Based Discovery by Learning Heterogeneous Bibliographic Information Networks","display_name":"Literature-Based Discovery by Learning Heterogeneous Bibliographic Information Networks","publication_year":2017,"publication_date":"2017-08-02","ids":{"openalex":"https://openalex.org/W2591763464","doi":"https://doi.org/10.1145/3130332.3130347","mag":"2591763464"},"language":"en","primary_location":{"id":"doi:10.1145/3130332.3130347","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3130332.3130347","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/thesis/Literature-Based_Discovery_by_Learning_Heterogeneous_Bibliographic_Information_Networks/4628671","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016708564","display_name":"Yakub Sebastian","orcid":"https://orcid.org/0000-0003-0499-6565"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Yakub Sebastian","raw_affiliation_strings":["Monash University Malaysia, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University Malaysia, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016708564"],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":null,"apc_paid":null,"fwci":0.1993,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60206595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51","issue":"1","first_page":"75","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9790999889373779,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9790999889373779,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9706000089645386,"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":0.909600019454956,"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/computer-science","display_name":"Computer science","score":0.8825734853744507},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7518725991249084},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6895247101783752},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6771323680877686},{"id":"https://openalex.org/keywords/bibliographic-coupling","display_name":"Bibliographic coupling","score":0.498044490814209},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4855334758758545},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4810114800930023},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.46166473627090454},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3840802311897278},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24133935570716858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8825734853744507},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7518725991249084},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6895247101783752},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6771323680877686},{"id":"https://openalex.org/C2776822937","wikidata":"https://www.wikidata.org/wiki/Q856335","display_name":"Bibliographic coupling","level":3,"score":0.498044490814209},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4855334758758545},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4810114800930023},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.46166473627090454},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3840802311897278},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24133935570716858},{"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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3130332.3130347","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3130332.3130347","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"},{"id":"pmh:doi:10.26180/4628671","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"pmh:oai:figshare.com:article/4628671","is_oa":true,"landing_page_url":"https://figshare.com/articles/thesis/Literature-Based_Discovery_by_Learning_Heterogeneous_Bibliographic_Information_Networks/4628671","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"doi:10.4225/03/589a9ae5ad235","is_oa":true,"landing_page_url":"https://doi.org/10.4225/03/589a9ae5ad235","pdf_url":null,"source":{"id":"https://openalex.org/S7407052105","display_name":"Monash University","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/4628671","is_oa":true,"landing_page_url":"https://figshare.com/articles/thesis/Literature-Based_Discovery_by_Learning_Heterogeneous_Bibliographic_Information_Networks/4628671","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2353179089","https://openalex.org/W2501188010","https://openalex.org/W2095118173","https://openalex.org/W2382021449","https://openalex.org/W848359858","https://openalex.org/W2106424170","https://openalex.org/W4299935056","https://openalex.org/W2768810474"],"abstract_inverted_index":{"Literature-based":[0],"discovery":[1,184],"(LBD)":[2],"research":[3,19,23,45,73,111,160,164,227,273,325],"aims":[4],"at":[5],"finding":[6],"effective":[7,178],"computational":[8],"methods":[9,26],"for":[10,35,86,126,154,179,266,317],"retrieving":[11],"previously":[12,88],"unknown":[13,37,89],"information":[14,116,146,285],"connections":[15,38,107],"between":[16,91,108,131,159,272,323],"clusters":[17],"of":[18,44,60,110,150,192,201,226,246,253,308],"papers":[20,161],"from":[21,162],"disparate":[22,163,324],"areas.":[24],"Existing":[25],"encompass":[27],"two":[28],"general":[29],"approaches.":[30],"The":[31,113,166,229,275,296],"first":[32],"approach":[33,56],"searches":[34],"these":[36,132,259],"by":[39,312],"examining":[40],"the":[41,50,54,103,128,148,175,181,190,199,202,218,222,234,247,254,268,282,306,309,314,319],"textual":[42,52,143],"contents":[43],"papers.":[46,112,228,274,326],"In":[47,134],"addition":[48],"to":[49,136,216,242,258,293],"existing":[51],"features,":[53],"second":[55],"incorporates":[57],"structural":[58],"features":[59,81,153,292],"scientific":[61],"literatures,":[62],"such":[63],"as":[64,79,120],"citation":[65,145],"structures.":[66],"These":[67],"approaches,":[68,138],"however,":[69],"have":[70],"not":[71,239],"considered":[72],"papers'":[74],"latent":[75,104,269],"bibliographic":[76,105,115,284],"metadata":[77,106,152],"structures":[78],"important":[80],"that":[82,101,174,233,302],"can":[83],"be":[84,294],"used":[85,265],"predicting":[87,155,318],"relationships":[90,130],"them":[92],"This":[93,186,249],"thesis":[94,171,187,250,300],"investigates":[95,189],"a":[96,208,243],"new":[97,290],"graph-based":[98,123],"LBD":[99],"method":[100,140,176,311],"exploits":[102],"pairs":[109],"heterogeneous":[114,283],"network":[117,286],"is":[118,177,214,264,279],"proposed":[119,203,215,310],"an":[121],"efficient":[122],"data":[124],"structure":[125],"modeling":[127,194,197,263,304],"complex":[129],"metadata.":[133],"contrast":[135],"previous":[137],"this":[139,170,299],"seamlessly":[141],"combines":[142],"and":[144,195,224,288],"in":[147,169,221,298],"form":[149],"path-based":[151],"future":[156,320],"co-citation":[157,321],"links":[158,322],"fields.":[165],"results":[167,231,297],"reported":[168],"provide":[172],"evidence":[173],"reconstructing":[180],"historical":[182],"literature-based":[183],"hypotheses":[185],"also":[188],"effects":[191],"semantic":[193,206],"topic":[196,262,277,303],"on":[198],"performance":[200,245,307],"method.":[204,248],"For":[205],"modeling,":[207],"general-purpose":[209],"word":[210],"sense":[211],"disambiguation":[212],"technique":[213],"reduce":[217],"lexical":[219,236],"ambiguity":[220,237],"title":[223],"abstract":[225],"experimental":[230],"suggest":[232,301],"reduced":[235],"did":[238],"necessarily":[240],"lead":[241],"better":[244],"discusses":[251],"some":[252],"possible":[255],"contributing":[256],"factors":[257],"results.":[260],"Finally,":[261],"learning":[267],"topical":[270],"relations":[271],"learned":[276],"model":[278],"incorporated":[280],"into":[281],"graph":[287],"allows":[289],"predictive":[291],"learned.":[295],"improves":[305],"increasing":[313],"overall":[315],"accuracy":[316]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}