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Ontologies for Knowledge modeling in construction planning

Theory and application

dc.contributor.authorGetuli, Vito
dc.date.accessioned2022-06-02T04:20:18Z
dc.date.available2022-06-02T04:20:18Z
dc.date.issued2020
dc.date.submitted2022-05-31T10:34:43Z
dc.identifierONIX_20220531_9788855181846_885
dc.identifierOCN: 1228586291
dc.identifierhttps://library.oapen.org/handle/20.500.12657/55601
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/82906
dc.description.abstractNowadays, there is an increasing recognition of the value of knowledge management in the construction projects and ontology-based semantic modelling is seen as an important means of addressing this problem, even if a knowledge-base which maps the construction planning and scheduling domains, in a formal and machine-readable way, is still missing. Addressing this issue, the book is divided in two parts. Part I, theory, is a theoretical introduction of on ontologies concepts and expert systems. Part II, application, presents a research of ontologies development for semantic modelling of construction scheduling, workspace, product and time domains. The last chapter presents the architecture of an ontology-based expert system, to show how ontologies can support automated planning mechanisms.
dc.languageItalian
dc.relation.ispartofseriesRicerche. Architettura, Pianificazione, Paesaggio, Design
dc.rightsopen access
dc.subject.otherKnowledge modelling
dc.subject.otherontology
dc.subject.otherconstruction management
dc.subject.otherBIM
dc.subject.otherconstruction planning and scheduling
dc.titleOntologies for Knowledge modeling in construction planning
dc.title.alternativeTheory and application
dc.typebook
oapen.identifier.doi10.36253/978-88-5518-184-6
oapen.relation.isPublishedBy2ec4474d-93b1-4cfa-b313-9c6019b51b1a
oapen.relation.isbn9788855181846
oapen.relation.isbn9788855181839
oapen.relation.isbn9788855181853
oapen.pages152
oapen.place.publicationFlorence
dc.seriesnumber3
dc.abstractotherlanguageNowadays, there is an increasing recognition of the value of knowledge management in the construction projects and ontology-based semantic modelling is seen as an important means of addressing this problem, even if a knowledge-base which maps the construction planning and scheduling domains, in a formal and machine-readable way, is still missing. Addressing this issue, the book is divided in two parts. Part I, theory, is a theoretical introduction of on ontologies concepts and expert systems. Part II, application, presents a research of ontologies development for semantic modelling of construction scheduling, workspace, product and time domains. The last chapter presents the architecture of an ontology-based expert system, to show how ontologies can support automated planning mechanisms.


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