Day 2 :
Civil, Construction and Environmental Engineering
Marquette University, USA
Dr. Saeed Karshenas is a professor of civil engineering at Marquette University in Milwaukee, Wisconsin, USA. He has published over 60 papers in refereed journals and conferences. His current research is focused on building information modeling and semantic representation of building data.
Building projects use a variety of software tools and information sources to support design, construction, maintenance, and operation activities. Each specialty area in the building industry uses software tools specifically designed for its functions and store data in proprietary formats that cannot be easily integrated with data generated in other areas. However, there are natural connections among various building processes that require data integration across various specialty areas and software applications. Efficient execution of various building processes requires seamless and fluid communication of data among applications used in the project lifecycle.
In recent years, the Semantic Web technology has emerged as a viable approach for structuring, interrelating, and publishing information. In the Semantic Web approach, a common vocabulary is defined for the information in a domain. The common vocabulary includes machine-interpretable definitions of various concepts in the domain and the relations among them. Creating an explicit common vocabulary for a domain provides a common understanding of the structure of the domain information for users of the information.
The paper discusses a modular approach for developing vocabularies for various building domain data and discusses custom vocabularies developed for design, cost, and schedule domains in building construction. The paper presents a case study that demonstrates the application of the Semantic Web technology for aggregating design, cost, and schedule information to answer queries or as input data to other applications.
Holder of the Art E. Favre Industrial Construction Chair
Bert S. Turner Department of Construction Management
Louisiana State University, USA
Time : 10:00-10:30
Dr. Jonathan Shi is currently the Art E. Favre endowed chair professor at Louisiana State University (LSU). His research effort has resulted in more than 100 technical articles including 68 refereed journal papers. Dr. Shi’s research has been funded by many sponsors with a total amount in excess of $10 million. He currently leads three national programs at LSU, 1) Louisiana Chemical Manufacturing Initiative (LCMI), comprised of 90+ partners, 2) Industrial Assessment Center (IAC) funded by the U.S. Department of Energy, and 3) Industrial Innovation Center (IIC) funded by the US Economic Development Administration’s Regional Innovation Strategies Challenge program.
A great deal of scientific research in the world aims at discovering the facts about the world so that we understand it better and find solutions to problems. Data enabling technology plays an important role in modern scientific discovery and technologic advancement. The importance of good information was long recognized by prominent leaders such as Sun Tzu and Napoleon. Factual data enables managers to measure, to understand their businesses, and to directly translate that knowledge into improved decision making and performance. The speaker argues that data analytics is ready to change construction project management in the following areas: 1) by making relevant historical data available to the project manager (PM) at the time when it’s needed; 2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful data from multiple sources to support quantitative decision-making. Considering the unique need for construction project management, the article proposes researchable topics in the two broad areas of data acquisition and data analytics. The purpose of this presentation is to provoke discussion from peers and to encourage research activity.