{"id":"https://openalex.org/W3097973774","doi":"https://doi.org/10.1145/3417990.3421386","title":"Enhancing model transformation synthesis using natural language processing","display_name":"Enhancing model transformation synthesis using natural language processing","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3097973774","doi":"https://doi.org/10.1145/3417990.3421386","mag":"3097973774"},"language":"en","primary_location":{"id":"doi:10.1145/3417990.3421386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3417990.3421386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings","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/A5080051687","display_name":"Kevin Lano","orcid":"https://orcid.org/0000-0002-9706-1410"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"K. Lano","raw_affiliation_strings":["King's College London, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008438112","display_name":"S. Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Fang","raw_affiliation_strings":["King's College London, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101511166","display_name":"Muhammad Umar","orcid":"https://orcid.org/0000-0001-9433-2409"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. A. Umar","raw_affiliation_strings":["King's College London, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015678113","display_name":"Sobhan Yassipour-Tehrani","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Yassipour-Tehrani","raw_affiliation_strings":["University of Warwick, UK"],"affiliations":[{"raw_affiliation_string":"University of Warwick, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080051687"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":null,"apc_paid":null,"fwci":2.1268,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87838828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9990000128746033,"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":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.7883918285369873},{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.7119860649108887},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.706375241279602},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"Inductive logic programming","score":0.6668453812599182},{"id":"https://openalex.org/keywords/model-transformation","display_name":"Model transformation","score":0.6564133167266846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5573477149009705},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4949752688407898},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4948994517326355},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4862622022628784},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4604170620441437},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44951629638671875},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4476546049118042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43074941635131836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1257590651512146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883918285369873},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.7119860649108887},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.706375241279602},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.6668453812599182},{"id":"https://openalex.org/C2779791154","wikidata":"https://www.wikidata.org/wiki/Q258040","display_name":"Model transformation","level":3,"score":0.6564133167266846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5573477149009705},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4949752688407898},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4948994517326355},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4862622022628784},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4604170620441437},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44951629638671875},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4476546049118042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43074941635131836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1257590651512146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3417990.3421386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3417990.3421386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1531499883","https://openalex.org/W1845712655","https://openalex.org/W1985422962","https://openalex.org/W2068742764","https://openalex.org/W2093604545","https://openalex.org/W2094235682","https://openalex.org/W2094517928","https://openalex.org/W2105899414","https://openalex.org/W2156543375","https://openalex.org/W2392382259","https://openalex.org/W2590940197","https://openalex.org/W2895664916","https://openalex.org/W2989737153","https://openalex.org/W6673818412","https://openalex.org/W6731639807"],"related_works":["https://openalex.org/W2101684415","https://openalex.org/W2392502101","https://openalex.org/W3146596127","https://openalex.org/W2164325773","https://openalex.org/W1510924005","https://openalex.org/W2225770667","https://openalex.org/W2154846447","https://openalex.org/W2127342803","https://openalex.org/W2928705737","https://openalex.org/W2107344568"],"abstract_inverted_index":{"In":[0],"this":[1,62,86],"paper":[2],"we":[3],"examine":[4],"how":[5],"model":[6],"transformation":[7,71,91],"specifications":[8],"can":[9],"be":[10,64],"derived":[11],"from":[12,93],"requirements":[13],"and":[14,27,53,60,84],"examples,":[15],"using":[16],"a":[17,67,75,88],"combination":[18],"of":[19,55,70,81,90],"natural":[20],"language":[21],"processing":[22],"(NLP),":[23],"machine":[24],"learning":[25],"(ML)":[26],"inductive":[28],"logic":[29],"programming":[30],"(ILP)":[31],"techniques,":[32,83],"together":[33],"with":[34],"search-based":[35],"software":[36],"engineering":[37],"(SBSE)":[38],"for":[39,66,78],"metamodel":[40],"matching.":[41],"The":[42],"AI":[43],"techniques":[44],"are":[45],"employed":[46],"in":[47],"order":[48],"to":[49,63],"improve":[50],"the":[51,56,79,82],"performance":[52],"accuracy":[54],"base":[57],"SBSE":[58],"approach,":[59],"enable":[61],"used":[65],"wider":[68],"range":[69,89],"cases.":[72],"We":[73],"propose":[74],"specific":[76],"approach":[77],"co-use":[80],"evaluate":[85],"on":[87],"examples":[92],"different":[94],"sources.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}