{"id":"https://openalex.org/W2088038666","doi":"https://doi.org/10.1145/1066677.1066713","title":"Generating association graphs of non-cooccurring text objects using transitive methods","display_name":"Generating association graphs of non-cooccurring text objects using transitive methods","publication_year":2005,"publication_date":"2005-03-13","ids":{"openalex":"https://openalex.org/W2088038666","doi":"https://doi.org/10.1145/1066677.1066713","mag":"2088038666"},"language":"en","primary_location":{"id":"doi:10.1145/1066677.1066713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","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/A5011806386","display_name":"Niranjan Jayadevaprakash","orcid":null},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niranjan Jayadevaprakash","raw_affiliation_strings":["Purdue University School Of Science, Indianapolis, IN","Purdue University School of Science, Indianapolis, IN#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University School Of Science, Indianapolis, IN","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]},{"raw_affiliation_string":"Purdue University School of Science, Indianapolis, IN#TAB#","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106085532","display_name":"Snehasis Mukhopadhyay","orcid":null},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Snehasis Mukhopadhyay","raw_affiliation_strings":["Purdue University School Of Science, Indianapolis, IN","Purdue University School of Science, Indianapolis, IN#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University School Of Science, Indianapolis, IN","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]},{"raw_affiliation_string":"Purdue University School of Science, Indianapolis, IN#TAB#","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044460012","display_name":"Mathew Palakal","orcid":"https://orcid.org/0000-0002-2990-0999"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mathew Palakal","raw_affiliation_strings":["Purdue University School Of Science, Indianapolis, IN","Purdue University School of Science, Indianapolis, IN#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University School Of Science, Indianapolis, IN","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]},{"raw_affiliation_string":"Purdue University School of Science, Indianapolis, IN#TAB#","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9954000115394592,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9815000295639038,"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/transitive-relation","display_name":"Transitive relation","score":0.9398042559623718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6731119155883789},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.6317607164382935},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5962979197502136},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.576178252696991},{"id":"https://openalex.org/keywords/transitive-reduction","display_name":"Transitive reduction","score":0.5289887189865112},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.48243293166160583},{"id":"https://openalex.org/keywords/transitive-closure","display_name":"Transitive closure","score":0.46652325987815857},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.43550223112106323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3830903172492981},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34577786922454834},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2671211361885071},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2018955945968628},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16444173455238342},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.15752238035202026},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1280793845653534},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08470731973648071},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08406975865364075},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0806053876876831}],"concepts":[{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.9398042559623718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731119155883789},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.6317607164382935},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5962979197502136},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.576178252696991},{"id":"https://openalex.org/C129691609","wikidata":"https://www.wikidata.org/wiki/Q3088151","display_name":"Transitive reduction","level":5,"score":0.5289887189865112},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.48243293166160583},{"id":"https://openalex.org/C128896722","wikidata":"https://www.wikidata.org/wiki/Q1501387","display_name":"Transitive closure","level":2,"score":0.46652325987815857},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.43550223112106323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3830903172492981},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34577786922454834},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2671211361885071},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2018955945968628},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16444173455238342},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.15752238035202026},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1280793845653534},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08470731973648071},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08406975865364075},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0806053876876831},{"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/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1066677.1066713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W167430441","https://openalex.org/W1484413656","https://openalex.org/W1574901103","https://openalex.org/W1604803281","https://openalex.org/W1956559956","https://openalex.org/W1993797093","https://openalex.org/W2009685503","https://openalex.org/W2023736097","https://openalex.org/W2035703056","https://openalex.org/W2038721957","https://openalex.org/W2045487373","https://openalex.org/W2047330249","https://openalex.org/W2052244380","https://openalex.org/W2101821380","https://openalex.org/W2121940249","https://openalex.org/W2166559705","https://openalex.org/W2325227998","https://openalex.org/W4235505822","https://openalex.org/W6640862754"],"related_works":["https://openalex.org/W1553139688","https://openalex.org/W2362009423","https://openalex.org/W2371151875","https://openalex.org/W2383282217","https://openalex.org/W2136009070","https://openalex.org/W1994877243","https://openalex.org/W4230967508","https://openalex.org/W2012063573","https://openalex.org/W1996983051","https://openalex.org/W2349651113"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,18,161],"discuss":[4],"text":[5,23],"data":[6],"mining":[7],"(TDM)":[8],"mainly":[9],"in":[10,66,84,114],"the":[11,14,33,56,85,107,149,159],"context":[12],"of":[13,45,74,77,133,140,154],"biomedical":[15],"domain,":[16],"where":[17],"extract":[19],"associations":[20,47],"from":[21],"MEDLINE":[22],"articles":[24],"and":[25,36,54,173],"construct":[26],"association":[27,136,171],"graphs.":[28],"We":[29,39],"explore":[30],"two":[31],"techniques,":[32],"co-occurrence":[34],"method":[35,44,62,102,109,165],"transitive":[37,43,61,86,135],"method.":[38,156],"propose":[40],"a":[41,70,134,138],"novel":[42],"finding":[46],"that":[48,63,91,98,110,117,163],"does":[49],"not":[50,82,126],"rely":[51],"on":[52,158],"meta-data,":[53],"compare":[55],"results":[57,96],"with":[58],"another":[59],"known":[60,108],"uses":[64,111],"metadata":[65],"text,":[67],"to":[68,88,147],"find":[69,89],"link/relationship":[71],"between":[72,137],"objects":[73],"interest.":[75],"Co-occurrence":[76],"these":[78],"terms":[79],"(objects)":[80],"is":[81,103,125,143],"required":[83],"methods":[87],"out":[90,146],"they":[92],"are":[93],"associated.":[94],"The":[95],"show":[97],"our":[99,155,164],"proposed":[100],"new":[101],"as":[104,106],"accurate":[105],"meta-data.":[112],"This,":[113],"turn,":[115],"implies":[116],"relationships":[118],"can":[119,166,179],"be":[120,167,181],"discovered":[121],"even":[122],"when":[123],"meta-data":[124],"available":[127],"or":[128],"incomplete.":[129],"A":[130],"case":[131],"study":[132],"pair":[139],"genes":[141],"(BRCAI---STATI)":[142],"also":[144,174],"carried":[145],"illustrate":[148],"effective":[150],"hypothesis":[151,176],"generating":[152],"ability":[153],"Based":[157],"results,":[160],"conclude":[162],"used":[168],"effectively":[169],"for":[170,175],"extraction":[172],"generation,":[177],"which":[178],"later":[180],"validated":[182],"through":[183],"biological":[184],"experimental":[185],"analysis.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
