A tool for cooperation among companies involved in restoration and maintenance of old buildings

September 13, 2011

Tecnalia is participating in the creation of a new computer tool that facilitates cooperation amongst European companies in the sector of construction related to the restoration and maintenance of old buildings, including those registered as Historical Heritage Buildings.

To this end, Tecnalia is taking part as a partner and technical coordinator in the H-KNOW (Advanced Infrastructure for Knowledge Based Services for Buildings Restoration) project, within the European Commission's 7th Framework Programme.

The main objective of this project is to satisfy the growing needs of small and medium-sized businesses in the European construction sector for the management of knowledge, collaboration and learning, which were detected during the development of the project.

The project consortium, of which Tecnalia forms part, and based on an initial study of the state of the art and the needs of end users, has developed a computer tool in which management of information has been complemented with other services, in order to create virtual networks of collaboration and learning amongst businesses in this sector.

Moreover, this tool enables sharing knowledge and experiences about restoration and maintenance activities being undertaken at a European level within a community and the generating of collaboration agreements between sector companies that form part of this community

This tool was initially designed for companies in the construction sector, but is also suitable for adaption to other sectors in which knowledge and experience has to be managed in an appropriate manner, given their participation in projects with little repetitiveness of activities.
-end-


Elhuyar Fundazioa

Related Learning Articles from Brightsurf:

Learning the language of sugars
We're told not to eat too much sugar, but in reality, all of our cells are covered in sugar molecules called glycans.

When learning on your own is not enough
We make decisions based on not only our own learning experience, but also learning from others.

Learning more about particle collisions with machine learning
A team of Argonne scientists has devised a machine learning algorithm that calculates, with low computational time, how the ATLAS detector in the Large Hadron Collider would respond to the ten times more data expected with a planned upgrade in 2027.

Getting kids moving, and learning
Children are set to move more, improve their skills, and come up with their own creative tennis games with the launch of HomeCourtTennis, a new initiative to assist teachers and coaches with keeping kids active while at home.

How expectations influence learning
During learning, the brain is a prediction engine that continually makes theories about our environment and accurately registers whether an assumption is true or not.

Technology in higher education: learning with it instead of from it
Technology has shifted the way that professors teach students in higher education.

Learning is optimized when we fail 15% of the time
If you're always scoring 100%, you're probably not learning anything new.

School spending cuts triggered by great recession linked to sizable learning losses for learning losses for students in hardest hit areas
Substantial school spending cuts triggered by the Great Recession were associated with sizable losses in academic achievement for students living in counties most affected by the economic downturn, according to a new study published today in AERA Open, a peer-reviewed journal of the American Educational Research Association.

Lessons in learning
A new Harvard study shows that, though students felt like they learned more from traditional lectures, they actually learned more when taking part in active learning classrooms.

Learning to look
A team led by JGI scientists has overhauled the perception of inovirus diversity.

Read More: Learning News and Learning Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.