An Ontology-Based Knowledge Model For BIM Content Library

With the rapid development of information technology and Web technology, informatization has become an inevitable trend in the course of the industry development. Building Information Modeling(BIM) has become a mainstream trend in the process of the informatizational development of the construction industry. However, the development of BIM content library which is an important part of the technological development of BIM is far from satisfactory. The common problems include: structural distortion of information organization, disunity of standard-setting, low retrieval efficiency, etc. A research study of scientific methodology is conducted in order to solve the problems mentioned above. In the study, the ontology technology is applied to knowledge management and the exploratory research on establishment methods of the organizational structure of BIM content library as well as its validation mechanism, storage solution and reasoning application is conducted.In the study, ontology models of component information(class, properties, instance) over 800 classes are created, which cover 5 major areas in the construction industry: construction, structure, heating and ventilation, water supply and drainage and electrical appliance. The modeling are performed under the description logic standard, using Protégé and OWL, RDF/RDFS.The unification of component information standards for content library facilitates sharing and reuse. Due to the decidability of description logic, retrieval efficiency is improved in comparison with semantic retrieval in traditional knowledge management models.Afterwards, pertinent research on consistency is carried out and a consistency test on the established model is conducted by the reasoner Pellet. And the a domain ontology storage solution based on relational database is put forward and validated by sample ontology of the BIM content library.The practical application of rule-based reasoning is conducted using the interface Jena.which serves as an exploratory pilot study on the direction of the intelligent services the BIM content library provides in the future.