{"id":"https://openalex.org/W2130063192","doi":"https://doi.org/10.1145/1854776.1854820","title":"Unsupervised mapping of sentences to biomedical concepts based on integrated information retrieval model and clustering","display_name":"Unsupervised mapping of sentences to biomedical concepts based on integrated information retrieval model and clustering","publication_year":2010,"publication_date":"2010-08-02","ids":{"openalex":"https://openalex.org/W2130063192","doi":"https://doi.org/10.1145/1854776.1854820","mag":"2130063192"},"language":"en","primary_location":{"id":"doi:10.1145/1854776.1854820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100743278","display_name":"Miyoung Kim","orcid":"https://orcid.org/0000-0002-8903-5044"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mi-Young Kim","raw_affiliation_strings":["University of Alberta, Canada","University of Alberta,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"University of Alberta,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015808183","display_name":"Qing Dou","orcid":"https://orcid.org/0009-0002-9104-4967"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qing Dou","raw_affiliation_strings":["University of Alberta, Canada","University of Alberta,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"University of Alberta,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053745515","display_name":"Osmar R. Zai\u034f\u0308ane","orcid":"https://orcid.org/0000-0002-0060-5988"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Osmar R. Zaiane","raw_affiliation_strings":["University of Alberta, Canada","University of Alberta,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"University of Alberta,Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091866119","display_name":"Randy Goebel","orcid":"https://orcid.org/0000-0002-0739-2946"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Randy Goebel","raw_affiliation_strings":["University of Alberta, Canada","University of Alberta,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"University of Alberta,Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.9236,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79165447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996399998664856,"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":0.9923999905586243,"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":0.8607723116874695},{"id":"https://openalex.org/keywords/unified-medical-language-system","display_name":"Unified Medical Language System","score":0.8518214225769043},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7171587347984314},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6630281209945679},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5595279335975647},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5134493112564087},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48337382078170776},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.47073137760162354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4574744701385498},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.442732036113739},{"id":"https://openalex.org/keywords/thesaurus","display_name":"Thesaurus","score":0.43632978200912476},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4113059937953949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8607723116874695},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.8518214225769043},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7171587347984314},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6630281209945679},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5595279335975647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5134493112564087},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48337382078170776},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.47073137760162354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4574744701385498},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.442732036113739},{"id":"https://openalex.org/C2778698081","wikidata":"https://www.wikidata.org/wiki/Q179797","display_name":"Thesaurus","level":2,"score":0.43632978200912476},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4113059937953949},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1854776.1854820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1854776.1854820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.7464","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.7464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://webdocs.cs.ualberta.ca/~zaiane/postscript/ACMBCB10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W64604996","https://openalex.org/W128719466","https://openalex.org/W1550258693","https://openalex.org/W1580481679","https://openalex.org/W1642278221","https://openalex.org/W1742729980","https://openalex.org/W1973646872","https://openalex.org/W1983453172","https://openalex.org/W2003458432","https://openalex.org/W2011726136","https://openalex.org/W2012688074","https://openalex.org/W2036935277","https://openalex.org/W2040424384","https://openalex.org/W2044420612","https://openalex.org/W2045016337","https://openalex.org/W2090566980","https://openalex.org/W2093390569","https://openalex.org/W2093969396","https://openalex.org/W2109070394","https://openalex.org/W2117837957","https://openalex.org/W2124617249","https://openalex.org/W2134725489","https://openalex.org/W2145036943","https://openalex.org/W2148022628","https://openalex.org/W2152698860","https://openalex.org/W2159583324","https://openalex.org/W2162311237","https://openalex.org/W2167895352","https://openalex.org/W2168091548","https://openalex.org/W4206765718"],"related_works":["https://openalex.org/W1955525925","https://openalex.org/W2383984520","https://openalex.org/W1519810859","https://openalex.org/W1871067837","https://openalex.org/W2158122759","https://openalex.org/W1527558617","https://openalex.org/W1517188135","https://openalex.org/W2241813887","https://openalex.org/W2405355225","https://openalex.org/W2101373085"],"abstract_inverted_index":{"Structured":[0],"information":[1,132,152,172],"revealed":[2],"by":[3,234],"manual":[4],"annotation":[5,29,63],"of":[6,37,44,58,75,214,217,221],"disease":[7,59,91],"descriptions":[8,60],"with":[9],"UMLS":[10,90,166],"meta-thesaurus":[11],"concepts,":[12],"can":[13,118],"provide":[14],"high-quality":[15],"reliable":[16],"data":[17,210],"sources":[18],"for":[19,72,197],"the":[20,45,56,62,115,129,157,162,176,181,190,232],"research":[21],"community.":[22],"While":[23],"progress":[24],"in":[25],"both":[26],"extent":[27],"and":[28,55,140,154,207,219,231],"has":[30,39],"been":[31,40],"made,":[32],"only":[33],"a":[34,122,135,148,201,212],"limited":[35],"scope":[36],"diseases":[38],"annotated,":[41],"largely":[42],"because":[43],"required":[46],"human":[47],"resources.":[48],"Since":[49],"annotating":[50],"text":[51],"is":[52,67,83],"time":[53],"consuming":[54],"variation":[57],"makes":[61],"task":[64],"difficult,":[65],"it":[66],"useful":[68],"to":[69,84,110,186,236],"develop":[70],"systems":[71],"automatic":[73],"mapping":[74,116,130],"biomedical":[76,87],"sentences":[77,88],"into":[78,89],"an":[79,108,170],"ontology.":[80],"Our":[81,143,203],"goal":[82],"automatically":[85],"map":[86],"concepts.":[92],"Previous":[93],"methods":[94,226],"including":[95],"statistical":[96],"methods,":[97],"are":[98,145,205],"still":[99],"weaker":[100],"than":[101],"dictionary-based":[102],"simple":[103],"matching":[104],"methods.":[105],"To":[106],"consider":[107],"alternative":[109],"both,":[111],"we":[112,160,179,193],"demonstrate":[113],"how":[114],"problem":[117],"be":[119],"viewed":[120],"as":[121],"document":[123,138],"retrieval":[124,153,173],"problem:":[125],"under":[126],"this":[127],"perspective,":[128],"integrates":[131],"based":[133,146,227],"on":[134,147,208,228],"language":[136],"model,":[137],"frequency,":[139],"distance":[141],"measures.":[142],"improvements":[144],"three-step":[149],"method":[150],"using":[151,169,200],"clustering.":[155],"In":[156,175,189],"first":[158],"step,":[159,178,192],"retrieve":[161],"top-10":[163],"ranked":[164],"relevant":[165],"concept":[167,183],"entries":[168,184],"integrated":[171],"model.":[174],"second":[177],"cluster":[180,199],"retrieved":[182],"according":[185],"shared":[187],"words.":[188],"final":[191],"select":[194],"one":[195],"answer":[196],"each":[198],"threshold.":[202],"experiments":[204],"promising,":[206],"typical":[209],"show":[211],"precision":[213],"73.28%,":[215],"recall":[216],"77.51%,":[218],"F-measure":[220],"75.34%":[222],"significantly":[223],"outperforming":[224],"previous":[225],"statistics,":[229],"dictionaries,":[230],"MetaMap":[233],"6.95":[235],"9.95":[237],"percent.":[238]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
