{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T07:07:59Z","timestamp":1779001679376,"version":"3.51.4"},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"3","license":[{"start":{"date-parts":[[2002,11,15]],"date-time":"2002-11-15T00:00:00Z","timestamp":1037318400000},"content-version":"unspecified","delay-in-days":167,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2002,6]]},"abstract":"<jats:p>Managing and reusing knowledge in architecture, engineering, \nand construction firms can lead to greater competitive advantage, \nimproved designs, and more effective management of constructed \nfacilities. However, reuse often fails because knowledge is \nnot captured; it is captured out of context, rendering it not \nreusable; or there are no formal mechanisms for finding and \nretrieving reusable knowledge. This paper presents ongoing research \non design knowledge reuse that introduces the notion of knowledge \nin context from a corporate perspective. We argue that in order \nfor knowledge to be reusable, the user should be able to see \nthe rich context in which this knowledge was originally created \nand interact with it. We call a repository of such knowledge \nin context the corporate memory. We describe empirical observations \nof designers reusing knowledge from their personal design \nexperiences. Based on these observations, we formalize two key \nactivities in the process of knowledge reuse from a corporate \nrepository: finding reusable items and understanding these items \nin context. We formalize six degrees of exploration that lead \nto understanding. We describe a prototype system, CoMem, that \nsupports these activities. CoMem is distinguished from the \ndocument-centric state of practice solutions by its approach \nof \u201coverview first, zoom and filter, and then details \non demand.\u201d In order to accomplish this approach we propose \nthree metaphors: corporate map, fisheye lens, and storyteller. \nThese metaphors and their implementation in CoMem are illustrated \nusing an industry scenario.<\/jats:p>","DOI":"10.1017\/s0890060402163025","type":"journal-article","created":{"date-parts":[[2002,11,14]],"date-time":"2002-11-14T21:56:52Z","timestamp":1037311012000},"page":"127-147","source":"Crossref","is-referenced-by-count":26,"title":["CoMem: Designing an interaction experience for reuse of rich \ncontextual knowledge from a corporate memory"],"prefix":"10.1017","volume":"16","author":[{"given":"R.","family":"FRUCHTER","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"DEMIAN","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2002,11,15]]},"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\/S0890060402163025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,7]],"date-time":"2019-04-07T18:54:39Z","timestamp":1554663279000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060402163025\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,6]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2002,6]]}},"alternative-id":["S0890060402163025"],"URL":"https:\/\/doi.org\/10.1017\/s0890060402163025","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,6]]}}}