{"id":"https://openalex.org/W2951538941","doi":"https://doi.org/10.1145/3292500.3330977","title":"Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts","display_name":"Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2951538941","doi":"https://doi.org/10.1145/3292500.3330977","mag":"2951538941"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330977","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330977","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330977","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","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/10.1145/3292500.3330977","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021740848","display_name":"Kishlay Jha","orcid":"https://orcid.org/0000-0003-0826-445X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kishlay Jha","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048238468","display_name":"Guangxu Xun","orcid":"https://orcid.org/0000-0002-7657-4305"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangxu Xun","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101752147","display_name":"Yaqing Wang","orcid":"https://orcid.org/0000-0002-5797-3992"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaqing Wang","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013588572","display_name":"Aidong Zhang","orcid":"https://orcid.org/0000-0001-9723-3246"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aidong Zhang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021740848"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":1.4602,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.8217645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"843","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9990000128746033,"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":0.7555785179138184},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6055325269699097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5257559418678284},{"id":"https://openalex.org/keywords/biomedicine","display_name":"Biomedicine","score":0.5234205722808838},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.500300407409668},{"id":"https://openalex.org/keywords/text-corpus","display_name":"Text corpus","score":0.4969692528247833},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.43510064482688904},{"id":"https://openalex.org/keywords/open-biomedical-ontologies","display_name":"Open Biomedical Ontologies","score":0.433594286441803},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3713982105255127},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.16033583879470825},{"id":"https://openalex.org/keywords/upper-ontology","display_name":"Upper ontology","score":0.12607651948928833},{"id":"https://openalex.org/keywords/ontology-alignment","display_name":"Ontology alignment","score":0.10109409689903259},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.0965329110622406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555785179138184},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6055325269699097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5257559418678284},{"id":"https://openalex.org/C66782513","wikidata":"https://www.wikidata.org/wiki/Q864601","display_name":"Biomedicine","level":2,"score":0.5234205722808838},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.500300407409668},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.4969692528247833},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.43510064482688904},{"id":"https://openalex.org/C137982476","wikidata":"https://www.wikidata.org/wiki/Q7072326","display_name":"Open Biomedical Ontologies","level":5,"score":0.433594286441803},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3713982105255127},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.16033583879470825},{"id":"https://openalex.org/C78726541","wikidata":"https://www.wikidata.org/wiki/Q3882785","display_name":"Upper ontology","level":3,"score":0.12607651948928833},{"id":"https://openalex.org/C98893333","wikidata":"https://www.wikidata.org/wiki/Q4339878","display_name":"Ontology alignment","level":4,"score":0.10109409689903259},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.0965329110622406},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3330977","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330977","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330977","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3292500.3330977","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330977","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330977","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G4682304715","display_name":null,"funder_award_id":"1514204","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G828023077","display_name":null,"funder_award_id":"IIS-1514204","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951538941.pdf","grobid_xml":"https://content.openalex.org/works/W2951538941.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1023993098","https://openalex.org/W1614769882","https://openalex.org/W1615991656","https://openalex.org/W1994653016","https://openalex.org/W2011726136","https://openalex.org/W2015954361","https://openalex.org/W2024030746","https://openalex.org/W2067096102","https://openalex.org/W2091940856","https://openalex.org/W2118229453","https://openalex.org/W2119646114","https://openalex.org/W2128253627","https://openalex.org/W2152489761","https://openalex.org/W2152881983","https://openalex.org/W2153579005","https://openalex.org/W2162965868","https://openalex.org/W2507905585","https://openalex.org/W2583689815","https://openalex.org/W2615473284","https://openalex.org/W2739994438","https://openalex.org/W2774367863","https://openalex.org/W2809634205","https://openalex.org/W2910319773","https://openalex.org/W4250803253"],"related_works":["https://openalex.org/W2127299687","https://openalex.org/W1506177826","https://openalex.org/W2532736362","https://openalex.org/W2726617685","https://openalex.org/W1562796463","https://openalex.org/W3135477004","https://openalex.org/W1530162452","https://openalex.org/W2111194626","https://openalex.org/W2008629522","https://openalex.org/W2794019507"],"abstract_inverted_index":{"Hypothesis":[0],"generation":[1],"(HG)":[2],"refers":[3],"to":[4,50,69,96,154],"the":[5,32,37,56,71,108,138,146,173,189,201,213,219,222],"task":[6],"of":[7,18,31,40,59,74,111,114,129,185,203,221],"mining":[8],"meaningful":[9],"implicit":[10,26],"association":[11],"between":[12,149,176],"unlinked":[13],"biomedical":[14,216],"concepts.":[15,42],"The":[16],"majority":[17],"prior":[19],"studies":[20,48],"have":[21],"focused":[22],"on":[23,212],"uncovering":[24],"these":[25,112,133,150,160],"linkages":[27],"from":[28,61,76,132],"static":[29],"snapshots":[30],"corpus,":[33],"thereby":[34],"largely":[35],"ignoring":[36],"temporal":[38,57,139,195],"dynamics":[39,131],"medical":[41],"More":[43,187],"recently,":[44],"a":[45,121,142,167,193],"few":[46,122],"initial":[47],"attempted":[49],"overcome":[51],"this":[52,163],"issue":[53],"by":[54,178],"modelling":[55,128],"change":[58],"concepts":[60,75,177,204],"natural":[62,123],"language":[63],"text.":[64],"However,":[65],"they":[66],"still":[67],"fail":[68],"leverage":[70],"evolutionary":[72],"features":[73,140],"contemporary":[77],"knowledge-bases":[78],"(KB's)":[79],"such":[80,88,103],"as":[81,104],"semantic":[82],"lexicons":[83],"and":[84,118,208],"ontologies.":[85],"In":[86],"practice":[87],"KB's":[89],"contain":[90],"up-to-date":[91],"information":[92,115],"that":[93,171,199],"is":[94],"important":[95],"incorporate,":[97],"especially,":[98],"in":[99,136,162],"highly":[100],"evolving":[101],"domains":[102],"biomedicine.":[105],"Furthermore,":[106],"considering":[107],"complementary":[109,183],"strength":[110],"sources":[113,184],"-":[116,120],"corpus":[117,207,217],"ontology":[119],"questions":[124],"arise:":[125],"Can":[126,145],"joint":[127],"(co)-evolutionary":[130],"resources":[134,152],"aid":[135],"encoding":[137],"at":[141],"granular":[143],"level?":[144],"mutual":[147],"evolution":[148],"intertwined":[151],"lead":[153],"better":[155],"predictive":[156],"effects?":[157],"To":[158],"answer":[159],"questions,":[161],"study,":[164],"we":[165],"present":[166],"novel":[168],"HG":[169],"framework":[170,198],"unearths":[172],"latent":[174],"associations":[175],"modeling":[179],"their":[180],"co-evolution":[181,202],"across":[182,205],"information.":[186],"specifically,":[188],"proposed":[190,223],"approach":[191],"adopts":[192],"shared":[194],"matrix":[196],"factorization":[197],"models":[200],"both":[206],"KB.":[209],"Extensive":[210],"experiments":[211],"largest":[214],"available":[215],"validates":[218],"effectiveness":[220],"approach.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
