{"id":"https://openalex.org/W2583563996","doi":"https://doi.org/10.3233/978-1-61499-468-8-71","title":"Extracting Legal Arguments from Forensic Bayesian Networks","display_name":"Extracting Legal Arguments from Forensic Bayesian Networks","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2583563996","doi":"https://doi.org/10.3233/978-1-61499-468-8-71","mag":"2583563996"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-468-8-71","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-468-8-71","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5001959752","display_name":"Sjoerd T. Timmer","orcid":"https://orcid.org/0000-0003-0223-9368"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Timmer Sjoerd T.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103346373","display_name":"John\u2010Jules Ch. Meyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meyer John-Jules Ch.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020760288","display_name":"Henry Prakken","orcid":"https://orcid.org/0000-0002-3431-7757"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prakken Henry","raw_affiliation_strings":["Effective Criminal Law"],"affiliations":[{"raw_affiliation_string":"Effective Criminal Law","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056922142","display_name":"Silja Renooij","orcid":"https://orcid.org/0000-0003-4339-8146"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renooij Silja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060921040","display_name":"Bart Verheij","orcid":"https://orcid.org/0000-0001-8927-8751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Verheij Bart","raw_affiliation_strings":["Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001959752"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":31.7703,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9962322,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9812999963760376,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9742000102996826,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/forensic-science","display_name":"Forensic science","score":0.7931308150291443},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5541040897369385},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.531098484992981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4307388663291931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37422239780426025},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.1882050335407257},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.13594859838485718}],"concepts":[{"id":"https://openalex.org/C140505726","wikidata":"https://www.wikidata.org/wiki/Q495304","display_name":"Forensic science","level":2,"score":0.7931308150291443},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5541040897369385},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.531098484992981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4307388663291931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37422239780426025},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.1882050335407257},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.13594859838485718}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-468-8-71","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-468-8-71","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W198834749","https://openalex.org/W1601828931","https://openalex.org/W1602110832","https://openalex.org/W1980423071","https://openalex.org/W1991880520","https://openalex.org/W2008270694","https://openalex.org/W2010366788","https://openalex.org/W2029896775","https://openalex.org/W2071122890","https://openalex.org/W2082338907","https://openalex.org/W2104126268","https://openalex.org/W2116920356","https://openalex.org/W2122567216","https://openalex.org/W2129639577","https://openalex.org/W2153909792","https://openalex.org/W2158309618","https://openalex.org/W2159080219","https://openalex.org/W2166830015","https://openalex.org/W2171640468","https://openalex.org/W2396109020","https://openalex.org/W2752099845"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2115574256","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Recent":[0],"developments":[1],"in":[2,29,54,68,74,96,112,136],"the":[3,8,14,69,75],"forensic":[4,113],"sciences":[5],"have":[6],"confronted":[7],"field":[9,40],"of":[10,17,31,46,60,64,91],"legal":[11,39,110,134],"reasoning":[12,18,82],"with":[13,24,43,86],"new":[15,106],"challenge":[16],"under":[19],"uncertainty.":[20],"Forensic":[21],"results":[22],"come":[23],"uncertainty":[25],"and":[26,34,53,71,122],"are":[27,77],"described":[28],"terms":[30],"likelihood":[32],"ratios":[33],"random":[35],"match":[36],"probabilities.":[37],"The":[38,62],"is":[41,95,129],"unfamiliar":[42],"numerical":[44],"valuations":[45],"evidence,":[47],"which":[48],"has":[49,83],"led":[50],"to":[51,57,108],"confusion":[52],"some":[55],"cases":[56,63],"serious":[58],"miscarriages":[59],"justice.":[61],"Lucia":[65],"de":[66],"B.":[67],"Netherlands":[70],"Sally":[72],"Clark":[73],"UK":[76],"infamous":[78],"examples":[79],"where":[80],"probabilistic":[81,93,121],"gone":[84],"wrong":[85],"dramatic":[87],"consequences.":[88],"One":[89],"way":[90],"structuring":[92],"information":[94],"Bayesian":[97],"networks":[98],"(BNs).":[99],"In":[100],"this":[101],"paper":[102],"we":[103],"explore":[104],"a":[105,117,127],"method":[107,128],"identify":[109],"arguments":[111],"BNs.":[114],"This":[115],"establishes":[116],"formal":[118],"connection":[119],"between":[120],"argumentative":[123],"reasoning.":[124],"Developing":[125],"such":[126],"ultimately":[130],"aimed":[131],"at":[132],"supporting":[133],"experts":[135],"their":[137],"decision":[138],"making":[139],"process.":[140]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-02-10T00:00:00"}