{"id":"https://openalex.org/W1968895601","doi":"https://doi.org/10.1145/1774088.1774421","title":"Hypothesis generation and ranking based on event similarities","display_name":"Hypothesis generation and ranking based on event similarities","publication_year":2010,"publication_date":"2010-03-22","ids":{"openalex":"https://openalex.org/W1968895601","doi":"https://doi.org/10.1145/1774088.1774421","mag":"1968895601"},"language":"en","primary_location":{"id":"doi:10.1145/1774088.1774421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied Computing","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/A5006630406","display_name":"Taiki Miyanishi","orcid":"https://orcid.org/0000-0001-9105-1601"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taiki Miyanishi","raw_affiliation_strings":["Kobe University"],"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103280533","display_name":"Kazuhiro Seki","orcid":"https://orcid.org/0000-0002-1967-4334"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Seki","raw_affiliation_strings":["Kobe University"],"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023847482","display_name":"Kuniaki Uehara","orcid":"https://orcid.org/0000-0002-7160-3752"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kuniaki Uehara","raw_affiliation_strings":["Kobe University"],"affiliations":[{"raw_affiliation_string":"Kobe University","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006630406"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":0.1322,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51001735,"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":"1552","last_page":"1558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":1.0,"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":1.0,"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":0.9968000054359436,"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":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7855752110481262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658212423324585},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5896123051643372},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45805418491363525},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.452564537525177},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44958850741386414},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4378821849822998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3407372832298279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15080606937408447}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7855752110481262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658212423324585},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5896123051643372},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45805418491363525},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.452564537525177},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44958850741386414},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4378821849822998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3407372832298279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15080606937408447},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1774088.1774421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1485379203","https://openalex.org/W1550258693","https://openalex.org/W1553011358","https://openalex.org/W1647729745","https://openalex.org/W1668989518","https://openalex.org/W1670599640","https://openalex.org/W1976909068","https://openalex.org/W1986330250","https://openalex.org/W1994306321","https://openalex.org/W2011726136","https://openalex.org/W2015954361","https://openalex.org/W2022424422","https://openalex.org/W2024030746","https://openalex.org/W2038316408","https://openalex.org/W2060553481","https://openalex.org/W2067096102","https://openalex.org/W2087035995","https://openalex.org/W2099766011","https://openalex.org/W2100935296","https://openalex.org/W2103397879","https://openalex.org/W2105562985","https://openalex.org/W2117805756","https://openalex.org/W2138548161","https://openalex.org/W2144211451","https://openalex.org/W2145074288","https://openalex.org/W2168905447","https://openalex.org/W2913668833","https://openalex.org/W4243886826"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W2330575325"],"abstract_inverted_index":{"Accelerated":[0],"by":[1,49,78],"the":[2,6,8,11,33,57,67,137],"technological":[3],"advances":[4],"in":[5,56,66,126,136],"domain,":[7],"size":[9],"of":[10,52,72,121],"biomedical":[12],"literature":[13,68],"has":[14],"been":[15,64,76],"growing":[16],"rapidly.":[17],"As":[18],"a":[19],"result,":[20],"it":[21,40],"is":[22,41,108,124],"not":[23],"feasible":[24],"for":[25],"individual":[26],"researchers":[27],"to":[28,36,43,91,103],"comprehend":[29],"and":[30,87],"synthesize":[31],"all":[32],"information":[34,53],"related":[35,138],"their":[37],"interests.":[38],"Therefore,":[39],"conceivable":[42],"discover":[44],"hidden":[45],"knowledge,":[46],"or":[47],"hypotheses,":[48],"linking":[50],"fragments":[51],"independently":[54],"described":[55],"literature.":[58],"In":[59],"fact,":[60],"such":[61],"hypotheses":[62,110],"have":[63,74],"reported":[65],"mining":[69],"community;":[70],"some":[71],"which":[73,101],"even":[75],"corroborated":[77],"experiments.":[79],"This":[80],"paper":[81],"mainly":[82],"focuses":[83],"on":[84,96,131],"hypothesis":[85],"ranking":[86],"investigates":[88],"an":[89],"approach":[90,123],"identifying":[92],"reasonable":[93],"ones":[94],"based":[95,130],"semantic":[97],"similarities":[98],"between":[99],"events":[100,115],"lead":[102],"respective":[104],"hypotheses.":[105],"Our":[106],"assumption":[107],"that":[109],"generated":[111],"from":[112],"semantically":[113],"similar":[114],"are":[116],"more":[117],"reasonable.":[118],"The":[119],"validity":[120],"our":[122],"demonstrated":[125],"comparison":[127],"with":[128],"those":[129],"term":[132],"frequencies,":[133],"often":[134],"adopted":[135],"work.":[139]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}