{"id":"https://openalex.org/W4410299631","doi":"https://doi.org/10.1115/1.4068637","title":"Information Extraction for the SAPPhIRE Model of Causality Using Dependency Parsing, Lexical Database, and Rules","display_name":"Information Extraction for the SAPPhIRE Model of Causality Using Dependency Parsing, Lexical Database, and Rules","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4410299631","doi":"https://doi.org/10.1115/1.4068637"},"language":"en","primary_location":{"id":"doi:10.1115/1.4068637","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4068637","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-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/A5065940338","display_name":"Kausik Bhattacharya","orcid":"https://orcid.org/0000-0002-3617-4630"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kausik Bhattacharya","raw_affiliation_strings":["Indian Institute of Science , CV Raman Road, , Karnataka ,","CV Raman Road CV Raman Road Bengaluru, Karnataka 560012 India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science , CV Raman Road, , Karnataka ,","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"CV Raman Road CV Raman Road Bengaluru, Karnataka 560012 India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112828121","display_name":"V. Srinivasan","orcid":"https://orcid.org/0009-0006-2988-6476"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V Srinivasan","raw_affiliation_strings":["Indian Institute of Technology Delhi , Hauz Khas, , \u00a0 ,","Department of Design, Indian Institute of Technology Delhi New Delhi, Delhi 110016 India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi , Hauz Khas, , \u00a0 ,","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Department of Design, Indian Institute of Technology Delhi New Delhi, Delhi 110016 India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082359260","display_name":"Sonal Keshwani","orcid":"https://orcid.org/0000-0002-5755-1298"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sonal Keshwani","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi , Okhla Industrial Estate, Phase III, , \u00a0 ,","Indraprastha Institute of Information Technology Delhi Okhla Industrial Estate, Phase III New Delhi, New Delhi 110020 India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi , Okhla Industrial Estate, Phase III, , \u00a0 ,","institution_ids":["https://openalex.org/I119939252"]},{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi Okhla Industrial Estate, Phase III New Delhi, New Delhi 110020 India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016400353","display_name":"Amaresh Chakrabarti","orcid":"https://orcid.org/0000-0002-1809-1831"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amaresh Chakrabarti","raw_affiliation_strings":["Indian Institute of Science , CV Raman Road, , Karnataka ,","Gulmohar Marg, Devasandra Layout Bengaluru, 560012 India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science , CV Raman Road, , Karnataka ,","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Gulmohar Marg, Devasandra Layout Bengaluru, 560012 India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5399,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89835695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"25","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9397000074386597,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9397000074386597,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9386000037193298,"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/T11719","display_name":"Data Quality and Management","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7154325246810913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6753408908843994},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6348880529403687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.581501305103302},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5802686214447021},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5367599129676819},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4972892105579376},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4928031265735626},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4858648180961609},{"id":"https://openalex.org/keywords/dependency-theory","display_name":"Dependency theory (database theory)","score":0.4670863151550293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4236522316932678},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4149525761604309},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3468177914619446},{"id":"https://openalex.org/keywords/functional-dependency","display_name":"Functional dependency","score":0.2890743017196655},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.22594043612480164}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7154325246810913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6753408908843994},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6348880529403687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.581501305103302},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5802686214447021},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5367599129676819},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4972892105579376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4928031265735626},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4858648180961609},{"id":"https://openalex.org/C40683218","wikidata":"https://www.wikidata.org/wiki/Q5260625","display_name":"Dependency theory (database theory)","level":4,"score":0.4670863151550293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4236522316932678},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4149525761604309},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3468177914619446},{"id":"https://openalex.org/C26320393","wikidata":"https://www.wikidata.org/wiki/Q597053","display_name":"Functional dependency","level":3,"score":0.2890743017196655},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.22594043612480164},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4068637","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4068637","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W185804277","https://openalex.org/W241156570","https://openalex.org/W944270270","https://openalex.org/W1970846593","https://openalex.org/W1971379517","https://openalex.org/W1995576916","https://openalex.org/W2009149587","https://openalex.org/W2017070900","https://openalex.org/W2017653802","https://openalex.org/W2019998121","https://openalex.org/W2022662633","https://openalex.org/W2024610583","https://openalex.org/W2034607416","https://openalex.org/W2035502111","https://openalex.org/W2047630611","https://openalex.org/W2088089155","https://openalex.org/W2095001852","https://openalex.org/W2110444463","https://openalex.org/W2118719062","https://openalex.org/W2119049305","https://openalex.org/W2129038679","https://openalex.org/W2135059130","https://openalex.org/W2155150524","https://openalex.org/W2242965157","https://openalex.org/W2530574113","https://openalex.org/W2563398093","https://openalex.org/W2609731728","https://openalex.org/W2801703703","https://openalex.org/W2888784734","https://openalex.org/W2930003055","https://openalex.org/W2942215034","https://openalex.org/W2978202681","https://openalex.org/W2979468846","https://openalex.org/W2994839763","https://openalex.org/W3023474184","https://openalex.org/W3095103917","https://openalex.org/W3183442239","https://openalex.org/W3186812636","https://openalex.org/W3198514653","https://openalex.org/W3199712787","https://openalex.org/W4214669619","https://openalex.org/W4234930840","https://openalex.org/W4237527047","https://openalex.org/W4323655724","https://openalex.org/W4353015365","https://openalex.org/W4381185639","https://openalex.org/W4385817284","https://openalex.org/W4391836235","https://openalex.org/W4405704974","https://openalex.org/W6601812931","https://openalex.org/W6602108663","https://openalex.org/W6606475831","https://openalex.org/W6679479091","https://openalex.org/W6694003692","https://openalex.org/W6702626848","https://openalex.org/W6703210270","https://openalex.org/W6728019355","https://openalex.org/W6728602055","https://openalex.org/W6743469954","https://openalex.org/W6743579378","https://openalex.org/W6756006630","https://openalex.org/W6809908440","https://openalex.org/W6860028411"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W287510790","https://openalex.org/W2098784136","https://openalex.org/W2968543375","https://openalex.org/W2571817549","https://openalex.org/W1970099335","https://openalex.org/W1541975828","https://openalex.org/W2888625260","https://openalex.org/W2159336305","https://openalex.org/W3035970863"],"abstract_inverted_index":{"Abstract":[0],"The":[1,197],"representation":[2,85],"of":[3,27,39,43,81,110,125,167,176,199],"design":[4,222],"information":[5,64,82,101,177],"through":[6,215],"ontologies":[7],"has":[8,74,87],"proven":[9],"to":[10,104,113,137,141],"be":[11],"effective":[12],"in":[13,194,211],"fostering":[14],"creative":[15],"ideation":[16],"within":[17],"product":[18],"design.":[19],"Consequently,":[20],"researchers":[21,60],"have":[22,61,204],"developed":[23,202],"databases":[24],"comprising":[25],"models":[26,44,209],"engineering":[28],"and":[29,84,86,165,214,221],"biological":[30],"systems":[31],"by":[32,133,191,218],"leveraging":[33],"ontologies.":[34],"However,":[35,71],"the":[36,78,90,105,121,142,163,173,184,212],"manual":[37,192],"construction":[38],"a":[40,96,134],"large":[41],"number":[42],"from":[45],"technical":[46],"documents":[47],"is":[48,189],"an":[49],"effort-intensive":[50],"task":[51],"that":[52,148],"demands":[53],"specialized":[54],"expertise.":[55],"To":[56],"address":[57],"this":[58,154,200],"challenge,":[59],"investigated":[62],"automatic":[63,100],"extraction":[65,83,102],"methods":[66],"utilizing":[67],"data-intensive":[68,115],"machine-learning":[69,116,168],"models.":[70,117,169],"previous":[72,146],"research":[73],"not":[75,88,158],"fully":[76],"documented":[77],"end-to-end":[79,91,174],"process":[80],"reported":[89,210],"accuracy.":[92],"This":[93,118],"study":[94],"introduces":[95],"novel":[97],"method":[98,119,203],"for":[99,162],"pertinent":[103],"State":[106],"change-Action-Part-Phenomenon-Input-oRgan-Effect":[107],"(SAPPhIRE)":[108],"model":[109],"causality":[111],"alternative":[112],"creating":[114],"employs":[120],"dependency":[122],"parsing":[123],"technique":[124,156],"natural":[126],"language":[127],"processing,":[128],"along":[129],"with":[130],"rules":[131],"supported":[132],"lexical":[135],"database,":[136],"extract":[138],"words":[139],"relevant":[140],"SAPPhIRE":[143,208,219],"model.":[144],"Unlike":[145],"approaches":[147],"rely":[149],"on":[150,183],"supervised":[151],"learning":[152],"methods,":[153],"new":[155],"does":[157],"require":[159],"extensive":[160],"datasets":[161],"training":[164],"validation":[166],"Furthermore,":[170],"it":[171],"reports":[172],"accuracy":[175],"extraction,":[178],"rather":[179],"than":[180],"focusing":[181],"solely":[182],"word":[185],"classification":[186],"task,":[187],"which":[188],"preceded":[190],"pre-processing":[193],"prior":[195],"research.":[196],"results":[198],"newly":[201],"been":[205],"validated":[206],"against":[207],"literature":[213],"input":[216],"provided":[217],"specialists":[220],"researchers.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}