{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T13:19:58Z","timestamp":1773235198635,"version":"3.50.1"},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"5","license":[{"start":{"date-parts":[[2003,6,30]],"date-time":"2003-06-30T00:00:00Z","timestamp":1056931200000},"content-version":"unspecified","delay-in-days":241,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2002,11]]},"abstract":"<jats:p>Solid models are the critical data elements in modern \ncomputer-aided design environments, because they describe the \nshape and form of manufactured artifacts. Their growing ubiquity \nhas created new problems in how to effectively manage the many \nmodels that are now stored in the digital libraries for large \ndesign and manufacturing enterprises. Existing techniques from \nthe engineering literature and industrial practice, such as \ngroup technology, rely on human-supervised encodings and \nclassification; techniques from the multimedia database and \ncomputer graphics\/vision communities often ignore the \nmanufacturing attributes that are most significant in the \nclassification of models. This paper presents our approach to \ncomparing the manufacturing similarity assessments of solid \nmodels of mechanical parts based on machining features. Our \ntechnical approach is threefold: perform machining feature \nextraction, construct a model dependency graph (MDG) from the \nset of machining features, and partition the models in a database \nusing a measure of similarity based on the MDGs. We introduce \ntwo heuristic search techniques for comparing MDGs and present \nempirical experiments to validate our approach using our testbed, \nthe National Design Repository.<\/jats:p>","DOI":"10.1017\/s0890060402165048","type":"journal-article","created":{"date-parts":[[2008,4,21]],"date-time":"2008-04-21T10:30:27Z","timestamp":1208773827000},"page":"385-399","source":"Crossref","is-referenced-by-count":22,"title":["An approach to a feature-based comparison of solid models \nof machined parts"],"prefix":"10.1017","volume":"16","author":[{"given":"VINCENT A.","family":"CICIRELLO","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"WILLIAM C.","family":"REGLI","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2003,6,30]]},"container-title":["Artificial Intelligence for Engineering Design, Analysis and Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0890060402165048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,7]],"date-time":"2019-05-07T00:24:15Z","timestamp":1557188655000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060402165048\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,11]]},"references-count":0,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2002,11]]}},"alternative-id":["S0890060402165048"],"URL":"https:\/\/doi.org\/10.1017\/s0890060402165048","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,11]]}}}