{"id":"https://openalex.org/W2000198540","doi":"https://doi.org/10.1145/1988688.1988726","title":"Towards automatic thematic sheets based on discursive categories in biomedical literature","display_name":"Towards automatic thematic sheets based on discursive categories in biomedical literature","publication_year":2011,"publication_date":"2011-05-25","ids":{"openalex":"https://openalex.org/W2000198540","doi":"https://doi.org/10.1145/1988688.1988726","mag":"2000198540"},"language":"en","primary_location":{"id":"doi:10.1145/1988688.1988726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1988688.1988726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence, Mining and Semantics","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/A5061300931","display_name":"Julien Descl\u00e9s","orcid":"https://orcid.org/0009-0007-3984-4760"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Julien Descl\u00e9s","raw_affiliation_strings":["LaLIC Universit\u00e9 Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris"],"affiliations":[{"raw_affiliation_string":"LaLIC Universit\u00e9 Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001160924","display_name":"Olfa Makkaoui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olfa Makkaoui","raw_affiliation_strings":["LaLIC Universit\u00e9 Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris"],"affiliations":[{"raw_affiliation_string":"LaLIC Universit\u00e9 Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113435270","display_name":"Jean-Pierre Descl\u00e9s","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Pierre Descl\u00e9s","raw_affiliation_strings":["LaLIC Universit\u00e9 Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris"],"affiliations":[{"raw_affiliation_string":"LaLIC Universit\u00e9 Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061300931"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.13976193,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50138163,"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":"1","last_page":"7"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9889000058174133,"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":0.9807000160217285,"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/categorization","display_name":"Categorization","score":0.8413379192352295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7539646625518799},{"id":"https://openalex.org/keywords/speculation","display_name":"Speculation","score":0.6647294759750366},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.6016749143600464},{"id":"https://openalex.org/keywords/thematic-structure","display_name":"Thematic structure","score":0.49945068359375},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4809491038322449},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4778865575790405},{"id":"https://openalex.org/keywords/thematic-analysis","display_name":"Thematic analysis","score":0.47776710987091064},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4554980397224426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3780044913291931},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.12191814184188843},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.09907984733581543}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.8413379192352295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539646625518799},{"id":"https://openalex.org/C47941915","wikidata":"https://www.wikidata.org/wiki/Q107885","display_name":"Speculation","level":2,"score":0.6647294759750366},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.6016749143600464},{"id":"https://openalex.org/C2778109090","wikidata":"https://www.wikidata.org/wiki/Q7781195","display_name":"Thematic structure","level":2,"score":0.49945068359375},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4809491038322449},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4778865575790405},{"id":"https://openalex.org/C74196892","wikidata":"https://www.wikidata.org/wiki/Q7781188","display_name":"Thematic analysis","level":3,"score":0.47776710987091064},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4554980397224426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3780044913291931},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.12191814184188843},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.09907984733581543},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1988688.1988726","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1988688.1988726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W53759002","https://openalex.org/W104604285","https://openalex.org/W109645580","https://openalex.org/W161867551","https://openalex.org/W205754837","https://openalex.org/W273036708","https://openalex.org/W1480287196","https://openalex.org/W1577941203","https://openalex.org/W1674709815","https://openalex.org/W1922511501","https://openalex.org/W1994306321","https://openalex.org/W2001829063","https://openalex.org/W2014849717","https://openalex.org/W2040838629","https://openalex.org/W2043335066","https://openalex.org/W2073857055","https://openalex.org/W2103397879","https://openalex.org/W2144181601","https://openalex.org/W2156930958","https://openalex.org/W2162049407","https://openalex.org/W2166057395","https://openalex.org/W2168126355","https://openalex.org/W2442495973","https://openalex.org/W2525004394","https://openalex.org/W6637289221","https://openalex.org/W6681396289"],"related_works":["https://openalex.org/W3196787553","https://openalex.org/W2355469585","https://openalex.org/W2359488764","https://openalex.org/W2898552957","https://openalex.org/W3034807830","https://openalex.org/W2608400158","https://openalex.org/W2918376031","https://openalex.org/W1520346956","https://openalex.org/W2047159566","https://openalex.org/W1982702875"],"abstract_inverted_index":{"Biological":[0],"papers":[1,34],"contain":[2],"a":[3,75,86],"huge":[4],"amount":[5],"of":[6,33,74,106,134],"results":[7],"and":[8,47,55,64,122,128],"ideas":[9],"that":[10],"are":[11,16],"difficult":[12],"to":[13,28,42,48,60,68,79,81,97,118,123],"manage.":[14],"Researchers":[15],"not":[17],"only":[18],"interested":[19],"in":[20],"finding":[21],"relevant":[22],"information":[23],"but":[24],"they":[25],"also":[26,59],"need":[27,58],"know":[29],"how":[30],"the":[31,36,44,70,91,99,103,110,135,141],"authors":[32],"get":[35],"results.":[37],"Thus,":[38],"it":[39],"is":[40,115],"interesting":[41],"identify":[43,69],"methods":[45],"used":[46],"distinguish":[49,61],"for":[50,102],"example":[51],"between":[52,62],"speculations,":[53],"observations":[54],"deductions.":[56],"Biologists":[57],"new":[63,72,127],"prior":[65,129],"information,":[66],"especially":[67],"real":[71],"output":[73],"study.":[76],"In":[77],"order":[78],"respond":[80],"these":[82],"needs,":[83],"we":[84],"propose":[85],"linguistic":[87,143],"model":[88,95,136],"based":[89],"on":[90],"discursive":[92],"categories.":[93],"This":[94],"aims":[96],"develop":[98],"BioExcom":[100,114],"tool":[101],"automatic":[104],"production":[105],"thematic":[107],"sheets":[108],"using":[109,140],"Contextual":[111],"Exploration":[112],"processing.":[113],"already":[116],"able":[117],"detect":[119],"speculative":[120],"sentences":[121],"categorize":[124],"them":[125],"into":[126],"speculation.":[130],"The":[131],"other":[132],"categories":[133],"will":[137],"be":[138],"developed":[139],"proposed":[142],"markers.":[144]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
