Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

Case-based reasoning (CBR) is an important approach in construction project risk
management. It emphasises that previous knowledge and experience of accidents and risks …

Text mining is a fast-growing area of research, due to its ability to discover valuable
information and getting insights hidden in plain texts. The aim of this paper is to apply text …

Named entity recognition (NER) is essential in many natural language processing (NLP)
tasks such as information extraction and document classification. A construction document …

For large-scale highway projects, late identification of stakeholder concerns often leads to
design changes and duplication of effort, which may cause major project delays. This paper …

There is a need for enhanced context-based document relevance assessment and ranking
to facilitate the retrieval of more relevant information for supporting environmental decision …

This article discusses a method for determining the cost of a construction project based on
aggregated unit prices based on information modelling and text mining. The features of …

Abstract The use of Building Information Modelling (BIM) for construction project risk
management has become a growing research trend. However, it was observed that BIM …

Activity recognition in construction performs as the prerequisite step in the process for
various tasks and thus is critical for successful project management. In the last several years …

The objective of this research is to present an innovative technique of extracting and
presenting knowledge in construction documents. A construction project can generate a …