In this paper, we discuss Semantic Construction Grammar (SCG), a system developed over the past several years to facilitate translation between natural language and logical representations. Crucially, SCG is designed to support a variety of different methods of representation, ranging from those that are fairly close to the NL structure (e.g. so-called ‘logical forms’), to those that are quite ...

this paper presents a prediction model based on a new neuro-fuzzy algorithm for estimating time in construction projects. the output of the proposed prediction model, which is employed based on a locally linear neuro-fuzzy (llnf) model, is useful for assessing a project status at different time horizons. being trained by a locally linear model tree (lolimot) learning algorithm, the model is int...

In construction better practice has been sought through the employment of knowledge management. Interest in tacit knowledge has grown due to its importance for raising performance at all organisational levels. Aspects of the limits which tacit knowledge places on knowledge management approaches in construction are considered with the focus being upon broad knowledge management categories rather...

Within an object knowledge representation formalism, class taxonomies are basic structures used to organize and query the knowledge base. It is therefore prootable to provide an object representation formalism with automatic means for taxonomy inference. Methods deriving classes from sets of unlabeled individuals have been developed within the data analysis and the machine learning elds but the...

The problem addressed in this paper is how to enable a computer system to acquire facts about new domains from tutors who are experts in their respective fields, but who have little or no training in computer science. The information to be acquired is that needed to support questionanswering activities. The basic acquisition approach is "learning by being told." We have been especially interest...

Many organizations have recognized that knowledge is the most important resource in today's economy. Propelled by the resource-and knowledge-based views of the firm, organizations are actively embracing knowledge management with the expectation of acquiring and maintaining high levels of organizational performance. However, because knowledge management as a formal practice is still in its infan...

To improve competitiveness, construction companies have to reduce cost and time of completion of projects while improving the quality of projects. Knowledge management (KM) is becoming increasingly important for the construction industry. Lessons learnt from the construction industry have proved that by reusing and sharing knowledge among engineers and experts can enhance construction projects ...

Multi-Context Systems (MCS) are instances of a nonmonotonic formalism for interlinking heterogeneous knowledge bases in a way such that the information flow is in equilibrium. Recently, algorithms for evaluating distributed MCS have been proposed which compute global system models, called equilibria, by local computation and model exchange. Unfortunately, they suffer from a bottleneck that stem...

Construction industry is one of the major drivers of the economic sustainability of China’s provinces. An investigation of the status of the construction industry in China is needed to find out its maturity and health. The results of this investigation may help China define the impact factors required in order to promote the growth level of its construction industry. This research assesses the ...