{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:01:32Z","timestamp":1767337292675},"reference-count":12,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2003,11,7]],"date-time":"2003-11-07T00:00:00Z","timestamp":1068163200000},"content-version":"unspecified","delay-in-days":190,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2003,5]]},"abstract":"<jats:p>Construction cost estimators are confronted with the challenging task \nof estimating the cost of constructing one of a kind facilities. They \nmust first recognize the design conditions of the facility design that \nare important (i.e., incur a cost) and then determine how the design \nconditions affect the cost of construction. Current product models of \nfacility designs explicitly represent components, attributes of \ncomponents, and relationships between components. These \ndesigner-focused product models do not represent many of the \ncost-driving features of building product models, such as penetrations \nand component similarity. Previous research efforts identify many of \nthe different features that affect construction costs, but they do not \nprovide a formal and general way for practitioners to represent the \nfeatures they care about according to their preferences. This paper \npresents the formal ontology we developed to represent construction \nknowledge about the cost-driving features of building product models. \nThe ontology formalizes three classes of features, defines the \nattributes and functions of each feature type, and represents the \nrelationships between the features explicitly. The descriptive \nsemantics of the model allow estimators to represent their varied \npreferences for naming features, specifying features that result from \ncomponent intersections and the similarity of components, and grouping \nfeatures that affect a specific construction domain. A software \nprototype that implements the ontology enables estimators to transform \ndesigner-focused product models into estimator-focused, feature-based \nproduct models. Our tests show that estimators are able to generate and \nmaintain cost estimates more accurately, consistently, and \nexpeditiously with feature-based product models than with industry \nstandard product models.<\/jats:p>","DOI":"10.1017\/s0890060403172034","type":"journal-article","created":{"date-parts":[[2003,12,12]],"date-time":"2003-12-12T11:08:45Z","timestamp":1071227325000},"page":"133-154","source":"Crossref","is-referenced-by-count":31,"title":["A feature ontology to support construction cost estimating"],"prefix":"10.1017","volume":"17","author":[{"given":"SHERYL","family":"STAUB\u2013FRENCH","sequence":"first","affiliation":[]},{"given":"MARTIN","family":"FISCHER","sequence":"additional","affiliation":[]},{"given":"JOHN","family":"KUNZ","sequence":"additional","affiliation":[]},{"given":"KOS","family":"ISHII","sequence":"additional","affiliation":[]},{"given":"BOYD","family":"PAULSON","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2003,11,7]]},"reference":[{"key":"S0890060403172034_ref004","doi-asserted-by":"publisher","DOI":"10.1016\/0952-1976(96)00035-8"},{"key":"S0890060403172034_ref002","doi-asserted-by":"publisher","DOI":"10.1016\/0360-1323(92)90021-G"},{"key":"S0890060403172034_ref027","doi-asserted-by":"publisher","DOI":"10.1007\/s007990050034"},{"key":"S0890060403172034_ref024","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9364(1999)125:5(295)"},{"key":"S0890060403172034_ref023","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0887-3801(1996)10:3(204)"},{"key":"S0890060403172034_ref010","doi-asserted-by":"publisher","DOI":"10.1006\/ijhc.1995.1081"},{"key":"S0890060403172034_ref019","doi-asserted-by":"publisher","DOI":"10.1016\/0010-4485(91)90027-T"},{"key":"S0890060403172034_ref017","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9364(1991)117:4(626)"},{"key":"S0890060403172034_ref015","first-page":"25","volume":"3","author":"Marir","year":"1998","journal-title":"ITCON"},{"key":"S0890060403172034_ref012","first-page":"140","volume":"62","author":"Hyer","year":"1984","journal-title":"Harvard Business Review"},{"key":"S0890060403172034_ref011","first-page":"26","volume":"12","author":"Hanna","year":"1990","journal-title":"Concrete International: Design and Construction"},{"key":"S0890060403172034_ref021","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1139\/l93-015","volume":"20","author":"Smith","year":"1993","journal-title":"Canadian Journal of Civil Engineering"}],"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\/S0890060403172034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T15:36:23Z","timestamp":1553873783000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060403172034\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,5]]},"references-count":12,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2003,5]]}},"alternative-id":["S0890060403172034"],"URL":"https:\/\/doi.org\/10.1017\/s0890060403172034","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,5]]}}}