Ontologies for knowledge modeling in construction planning : theory and application / / Vito Getuli

• Record Nr.: UNINA9910424616703321
• Autore: Getuli Vito
• Pubbl/distr/stampa: Firenze, Italy : , : Firenze University Press, , [2020]; ©2020
• Descrizione fisica: 1 online resource (152 pages) : illustrations
• Collana: Ricerche. Architettura, pianificazione, paesaggio, design
• Disciplina: 690.028563
• Soggetti: Construction industry - Data processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Preface 9 -- List of Abbreviations 13 -- Glossary 15 -- Part one | Theory 25 -- 1. Ontologies 27 -- 1.1 Basic Concepts 27 -- 1.2 Ontology representation languages 32 -- 1.3 Ontology development environments 34 -- 1.4 Ontology visualization 38 -- 2 Knowledge Management in construction 41 -- 2.1 Expert System methodologies 41 -- 2.2 Expert Systems for construction planning 45 -- 2.3 Ontology-based modelling in AEC Industry 53 -- 2.4 Construction workspaces management in AEC Industry 56 -- Part two| Application 63 -- 3. A Knowledge Base to support Construction Planning 65 -- 3.1 Ontological structure of the Knowledge Base 67 -- 3.2 Modelling domains 70 -- 4. Construction Scheduling Ontology 75 -- 4.1 Specification of modelling objectives 75 -- 4.2 Overall framework of the Scheduling Ontology 75 -- 4.3 Topological structure 78 -- 4.4 Specification of the entities 81 -- 5. Construction Space Ontology 93 -- 5.1 Specification of modelling objectives 93 -- 5.2 Overall framework of the Space Ontology 95 -- 5.3 Topological structure 97 -- 5.4 Specification of the entities 101 -- 6. Construction Product Ontology 107 -- 6.1 IFC-based Building Model exploration 107 -- 6.2 Topological structure 109 -- 6.3 Introduction of BIM data in the KB 112 -- 7. Construction Time Ontology 115 -- 7.1 Topological temporal entities 115 -- 7.2 Specification of entities in the Time Ontology 117 -- 8. Make use of ontologies 121 -- 8.1 OnSITEsimu Expert System 121 -- 8.2 Operational framework and model computerization 125 -- ; References 139.
• Sommario/riassunto: Nowadays, 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.