{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T18:33:46Z","timestamp":1767638026401,"version":"3.48.0"},"reference-count":0,"publisher":"Maximum Academic Press","issue":"2","license":[{"start":{"date-parts":[[2001,12,18]],"date-time":"2001-12-18T00:00:00Z","timestamp":1008633600000},"content-version":"unspecified","delay-in-days":292,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Knowledge Engineering Review"],"published-print":{"date-parts":[[2001,3]]},"abstract":"<jats:p>Many solutions to AI problems require the task to be represented in one of a multitude of rigorous mathematical formalisms. The construction of such mathematical models forms a difficult problem which is often left to the user of the problem-solver. This \nvoid between problem-solvers and their problems is studied by the eclectic field of automated modelling. Within this field, compositional modelling, a knowledge-based methodology for system-modelling, has established itself as a leading approach. In general, a compositional modeller organises knowledge in a structure of composable fragments that relate to particular system components or processes. Its embedded inference mechanism chooses the appropriate fragments with respect to a given problem, instantiates and assembles them into a consistent system model. Many different types of compositional modeller exist, however, with significant differences in their knowledge representation and approach to inference. This paper examines compositional modelling. It presents a general framework for building and analysing compositional modellers. Based on this framework, a number of influential compositional modellers are examined and compared. The paper also identifies the strengths and weaknesses of compositional modelling and discusses some typical applications.<\/jats:p>","DOI":"10.1017\/s0269888901000091","type":"journal-article","created":{"date-parts":[[2006,5,10]],"date-time":"2006-05-10T05:50:58Z","timestamp":1147240258000},"page":"157-200","source":"Crossref","is-referenced-by-count":28,"title":["On compositional modelling"],"prefix":"10.48130","volume":"16","author":[{"given":"JEROEN","family":"KEPPENS","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"QIANG","family":"SHEN","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"27968","published-online":{"date-parts":[[2001,12,18]]},"container-title":["The Knowledge Engineering Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0269888901000091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T14:43:12Z","timestamp":1767624192000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0269888901000091\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,3]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2001,3]]}},"alternative-id":["S0269888901000091"],"URL":"https:\/\/doi.org\/10.1017\/s0269888901000091","relation":{},"ISSN":["0269-8889","1469-8005"],"issn-type":[{"type":"print","value":"0269-8889"},{"type":"electronic","value":"1469-8005"}],"subject":[],"published":{"date-parts":[[2001,3]]}}}