Author(s): M. ArgŁello, A. El-Hasia & M. Lees
A current construction challenge is the creation of a construction university to
help promote innovation and best practice throughout the industry, with the aim
of developing a strong network of organisations able to share knowledge at
Establishing the Construction Knowledge Exchange will be an
important first step towards this aim.
The Semantic Web provides an appropriate
platform for knowledge exchange, and the benefits of implementing Semantic
Web technologies can be easily identified as Semantic Web technologies have
the potential to increase the information consistency and the information
processing quality of Web portals.
To exchange knowledge, i.e.
exchange, requires a shared mechanism to classify domain knowledge-items or
information into interrelated concepts, i.e.
The ontology has been
developed in the OWL Web Ontology Language and is the backbone of a
Semantic Web Portal (the β -CKE portal).
The β -CKE portal provides appropriate
usability and availability to represent a user-friendly interface for a virtual
community, and furthermore advanced functionalities for community users
where enhanced search accomplishes significantly better search results than
other information retrieval techniques.
The evaluation of the β -CKE portal has
revealed two additional assets: 1) a depicted map of the areas of construction
expertise, which is very useful not only to stimulate the communication between
people of different institutions working on the same field, but also to identify
strengths and weaknesses, and 2) strengthens in promoting communication and
information exchange not only making the information more accessible by being
independent of the concrete device (laptop, mobile phone, etc), but also making
the information more understandable by bridging the language gap between the
academic and the industrial community by executing a dynamic mapping process
keeping the autonomy of the different input data of these two communities.
knowledge base, ontology, OWL, semantic web, inference search.
Size: 1,219 kb
Paper DOI: 10.2495/DATA060421
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This paper can be found in the following bookData Mining VII: Data, Text and Web Mining and their Business ApplicationsBuy