{"id":"https://openalex.org/W173519608","doi":"https://doi.org/10.1007/978-3-642-19680-5_4","title":"A Construction Approach of Model Transformation Rules Based on Rough Set Theory","display_name":"A Construction Approach of Model Transformation Rules Based on Rough Set Theory","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W173519608","doi":"https://doi.org/10.1007/978-3-642-19680-5_4","mag":"173519608"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-19680-5_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-19680-5_4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-19680-5_4.pdf","source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-19680-5_4.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100764366","display_name":"Jin Li","orcid":"https://orcid.org/0000-0002-6033-0381"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]},{"id":"https://openalex.org/I1308199089","display_name":"Harbin University","ror":"https://ror.org/00ey9xa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I1308199089"]},{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Engineering University, 145 Nan Tong Street, Harbin, 150001, China","School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","HRBEU - Harbin Engineering University (NO.145-1, Nantong Street, Nangang District, Harbin - China)","HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Engineering University, 145 Nan Tong Street, Harbin, 150001, China","institution_ids":["https://openalex.org/I1308199089","https://openalex.org/I100188998","https://openalex.org/I151727225"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"HRBEU - Harbin Engineering University (NO.145-1, Nantong Street, Nangang District, Harbin - China)","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113748483","display_name":"Dechen Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dechen Zhan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642163","display_name":"Lanshun Nie","orcid":"https://orcid.org/0000-0002-8354-8359"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanshun Nie","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101453596","display_name":"Xiaofei Xu","orcid":"https://orcid.org/0000-0002-9492-0312"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Xu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"HIT - Harbin Institute of Technology (92 West Dazhi Street , Nan Gang District, Harbin\r\nPost Code: 150001  - China)","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09529412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9876999855041504,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.984499990940094,"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/transformation","display_name":"Transformation (genetics)","score":0.885375440120697},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.8396726250648499},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.692898154258728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6205625534057617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6042169332504272},{"id":"https://openalex.org/keywords/model-transformation","display_name":"Model transformation","score":0.5008640289306641},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4985690116882324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36642277240753174},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36371487379074097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32925546169281006},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06414410471916199}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.885375440120697},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.8396726250648499},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.692898154258728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6205625534057617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6042169332504272},{"id":"https://openalex.org/C2779791154","wikidata":"https://www.wikidata.org/wiki/Q258040","display_name":"Model transformation","level":3,"score":0.5008640289306641},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4985690116882324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36642277240753174},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36371487379074097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32925546169281006},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06414410471916199},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":2,"locations":[{"id":"doi:10.1007/978-3-642-19680-5_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-19680-5_4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-19680-5_4.pdf","source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01572093v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01572093","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"3rd IFIP Working Conference on Enterprise Interoperability (IWEI), Mar 2011, Stockholm, Sweden. pp.19-35, &#x27E8;10.1007/978-3-642-19680-5_4&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1007/978-3-642-19680-5_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-19680-5_4","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-19680-5_4.pdf","source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W173519608.pdf","grobid_xml":"https://content.openalex.org/works/W173519608.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W49766897","https://openalex.org/W340465096","https://openalex.org/W1483318950","https://openalex.org/W1526993786","https://openalex.org/W1527115930","https://openalex.org/W1546132677","https://openalex.org/W1570140623","https://openalex.org/W1985422962","https://openalex.org/W2031242907","https://openalex.org/W2046804159","https://openalex.org/W2089137303","https://openalex.org/W2094337727","https://openalex.org/W2107605246","https://openalex.org/W2110186089","https://openalex.org/W2110686900","https://openalex.org/W2119291625","https://openalex.org/W2140190241","https://openalex.org/W2148591238","https://openalex.org/W2162294668","https://openalex.org/W2164932396","https://openalex.org/W2377505859","https://openalex.org/W2505871501","https://openalex.org/W2561675875","https://openalex.org/W2570343052","https://openalex.org/W4213444482","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2364400229","https://openalex.org/W1988613072","https://openalex.org/W2157133118","https://openalex.org/W2159183434","https://openalex.org/W2083001816","https://openalex.org/W2381039361","https://openalex.org/W2367221173","https://openalex.org/W2178641308","https://openalex.org/W2351484374","https://openalex.org/W2168204328"],"abstract_inverted_index":{"Model":[0],"transformation":[1,12,19,27,48,63,88,99,111],"rules":[2,20,28,49,64,89,100,105,108],"are":[3,29,42,124],"the":[4,77,83,95,127,130],"central":[5],"part":[6],"of":[7,68,98,115,129],"model":[8,11],"transformation.":[9],"Many":[10],"approaches":[13],"provide":[14,94],"some":[15],"mechanisms":[16],"to":[17,61,75,86,101],"construct":[18,47,62,87],"in":[21,33,73],"industrial":[22],"and":[23,122],"academic":[24],"research.":[25],"However,":[26],"typically":[30],"created":[31],"manually":[32],"these":[34],"approaches.":[35],"As":[36],"far":[37],"as":[38],"we":[39,54],"know,":[40],"there":[41],"no":[43],"complete":[44],"solutions":[45],"that":[46],"automatically.":[50],"In":[51],"this":[52],"paper,":[53],"propose":[55],"a":[56],"rough":[57,69],"set":[58,70],"based":[59],"approach":[60,67],"semi-automatically.":[65],"Construction":[66],"is":[71,90],"improved":[72],"order":[74],"support":[76,102],"transformations":[78],"between":[79],"different":[80],"meta-models,":[81],"then":[82],"corresponding":[84],"algorithm":[85],"presented.":[91],"We":[92],"also":[93],"measurement":[96],"indicators":[97],"selecting":[103],"proper":[104],"from":[106],"many":[107],"which":[109],"meet":[110],"requirement.":[112],"Three":[113],"kinds":[114],"experiments":[116],"for":[117,126],"problems":[118],"with":[119],"distinct":[120],"complexity":[121],"size":[123],"given":[125],"validation":[128],"proposed":[131],"method.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
