{"id":"https://openalex.org/W2083904492","doi":"https://doi.org/10.1017/s0890060402165048","title":"An approach to a feature-based comparison of solid models of machined parts","display_name":"An approach to a feature-based comparison of solid models of machined parts","publication_year":2002,"publication_date":"2002-11-01","ids":{"openalex":"https://openalex.org/W2083904492","doi":"https://doi.org/10.1017/s0890060402165048","mag":"2083904492"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060402165048","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060402165048","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","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/A5011219888","display_name":"Vincent Cicirello","orcid":"https://orcid.org/0000-0003-1072-8559"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"VINCENT A. CICIRELLO","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA","The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012260180","display_name":"William C. Regli","orcid":"https://orcid.org/0000-0002-3729-4490"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"WILLIAM C. REGLI","raw_affiliation_strings":["Geometric and Intelligent Computing Laboratory, Department of Computer Science, Drexel University, Philadelphia, Pennsylvania 19104, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geometric and Intelligent Computing Laboratory, Department of Computer Science, Drexel University, Philadelphia, Pennsylvania 19104, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3550,"currency":"USD","value_usd":3550},"apc_paid":null,"fwci":3.7466,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.92320717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"385","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581716537475586},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.6203712224960327},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5028538107872009},{"id":"https://openalex.org/keywords/digital-manufacturing","display_name":"Digital manufacturing","score":0.5021529197692871},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.4892873466014862},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.46929270029067993},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4666443169116974},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46131062507629395},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.441644549369812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3739231526851654},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.36416035890579224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3075064718723297},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3040713369846344},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2123720645904541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581716537475586},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.6203712224960327},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5028538107872009},{"id":"https://openalex.org/C2780841897","wikidata":"https://www.wikidata.org/wiki/Q25349015","display_name":"Digital manufacturing","level":2,"score":0.5021529197692871},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.4892873466014862},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.46929270029067993},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4666443169116974},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46131062507629395},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.441644549369812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3739231526851654},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.36416035890579224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3075064718723297},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3040713369846344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2123720645904541},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0890060402165048","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060402165048","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"},{"id":"https://openalex.org/F4320310343","display_name":"Drexel University","ror":"https://ror.org/04bdffz58"},{"id":"https://openalex.org/F4320314243","display_name":"Honeywell Federal Manufacturing and Technologies","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1227441","https://openalex.org/W18689668","https://openalex.org/W50149606","https://openalex.org/W105949781","https://openalex.org/W121339212","https://openalex.org/W151297645","https://openalex.org/W1563564537","https://openalex.org/W1569998300","https://openalex.org/W1970957590","https://openalex.org/W1972392350","https://openalex.org/W1988658389","https://openalex.org/W1995195198","https://openalex.org/W2011039300","https://openalex.org/W2011465580","https://openalex.org/W2014329525","https://openalex.org/W2034273119","https://openalex.org/W2034629049","https://openalex.org/W2037737907","https://openalex.org/W2040676828","https://openalex.org/W2042567596","https://openalex.org/W2045934757","https://openalex.org/W2046273837","https://openalex.org/W2047966234","https://openalex.org/W2055425597","https://openalex.org/W2065856391","https://openalex.org/W2066610120","https://openalex.org/W2071086879","https://openalex.org/W2081515455","https://openalex.org/W2097904397","https://openalex.org/W2103240666","https://openalex.org/W2105687228","https://openalex.org/W2115442360","https://openalex.org/W2122325983","https://openalex.org/W2126359798","https://openalex.org/W2128782577","https://openalex.org/W2148061366","https://openalex.org/W2150690360","https://openalex.org/W2153302486","https://openalex.org/W2157705562","https://openalex.org/W2161444532","https://openalex.org/W2287348139","https://openalex.org/W2589772264","https://openalex.org/W2725173789","https://openalex.org/W2974755353","https://openalex.org/W3023408402","https://openalex.org/W3117889305","https://openalex.org/W3135522111"],"related_works":["https://openalex.org/W2996233258","https://openalex.org/W4282923815","https://openalex.org/W4384821171","https://openalex.org/W4386223758","https://openalex.org/W4213389844","https://openalex.org/W2996788019","https://openalex.org/W4200612054","https://openalex.org/W4366774145","https://openalex.org/W2979511655","https://openalex.org/W2075447437"],"abstract_inverted_index":{"Solid":[0],"models":[1,36,106,138],"are":[2,38,85],"the":[3,15,34,42,54,72,81,89,100,130,137,149,171],"critical":[4],"data":[5],"elements":[6],"in":[7,29,41,88,139],"modern":[8],"computer-aided":[9],"design":[10,47],"environments,":[11],"because":[12],"they":[13],"describe":[14],"shape":[16],"and":[17,48,57,68,75,135,160],"form":[18],"of":[19,91,104,107,132,145],"manufactured":[20],"artifacts.":[21],"Their":[22],"growing":[23],"ubiquity":[24],"has":[25],"created":[26],"new":[27],"problems":[28],"how":[30],"to":[31,98,164],"effectively":[32],"manage":[33],"many":[35],"that":[37,84],"now":[39],"stored":[40],"digital":[43],"libraries":[44],"for":[45,157],"large":[46],"manufacturing":[49,82,101],"enterprises.":[50],"Existing":[51],"techniques":[52,70,156],"from":[53,71,129],"engineering":[55],"literature":[56],"industrial":[58],"practice,":[59],"such":[60],"as":[61],"group":[62],"technology,":[63],"rely":[64],"on":[65,111,148],"human-supervised":[66],"encodings":[67],"classification;":[69],"multimedia":[73],"database":[74,141],"computer":[76],"graphics/vision":[77],"communities":[78],"often":[79],"ignore":[80],"attributes":[83],"most":[86],"significant":[87],"classification":[90],"models.":[92],"This":[93],"paper":[94],"presents":[95],"our":[96,166,169],"approach":[97,116,167],"comparing":[99,158],"similarity":[102,146],"assessments":[103],"solid":[105],"mechanical":[108],"parts":[109],"based":[110,147],"machining":[112,120,133],"features.":[113],"Our":[114],"technical":[115],"is":[117],"threefold:":[118],"perform":[119],"feature":[121],"extraction,":[122],"construct":[123],"a":[124,140,143],"model":[125],"dependency":[126],"graph":[127],"(MDG)":[128],"set":[131],"features,":[134],"partition":[136],"using":[142,168],"measure":[144],"MDGs.":[150],"We":[151],"introduce":[152],"two":[153],"heuristic":[154],"search":[155],"MDGs":[159],"present":[161],"empirical":[162],"experiments":[163],"validate":[165],"testbed,":[170],"National":[172],"Design":[173],"Repository.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
