Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …

Over the recent years, the usage of semantic web technologies has notably increased in the
domains of architecture, engineering and construction (AEC). These technologies are …

There is a wide range of literature on adopting ontology to solve construction problems, but
no review of existing studies has systematically analyzed and visualized the trends in …

Construction safety related knowledge and project specific information are scattered and
fragmented. Despite technological advancements of information and knowledge …

With ongoing advancements in information and communication technologies (ICTs) in all
stages of the construction lifecycle, information from entities related to construction workflow …

Ontologies have been successfully applied as a semantic enabler of communication
between both users and applications in fragmented, heterogeneous multinational business …

The advancement of natural language processing and text mining techniques facilitate
automatic non-trivial pattern extraction and knowledge discovery from text data. However …

When making design and construction decisions, planners must consider information from
different scales and domains. Currently, building and geospatial data are shared and …

Currently, designers require to use numerous incomplete data sources and make multiple
assumptions to conduct an LCA. We argue that traditional methods are incapable of …

Most knowledge management (KM) techniques capture knowledge at the end of a project,
leading to knowledge loss. Building information modeling (BIM) is a building information …