Title :
Construction Knowledge Exchange: a case study of exploiting Semantics for Web Mining
Author :
Argüello, M. ; El-Hasia, A. ; Lees, M.
Author_Institution :
Res. Inst. for the Built & Human Environ., Salford Univ.
Abstract :
There is an increasing need to effectively mine for knowledge both across the Internet and in particular Web localities. Manual processing of Web documents with specific information about a particular domain is a delicate and very time-consuming activity performed by expert professionals, and which can not be easily delegated to automatic tools. The introduction of tools, which exploit semantics for Web mining and are designed to be interactive and usable by domain experts who are not necessarily computer experts, will contribute to save time from domain experts and accelerate the process of semantic annotation of Web documents. This paper presents an ontology-based classifier to facilitate and speed up the process of population and up-to-date maintenance of the domain ontology of a semantic Web portal (the beta-CKE portal)
Keywords :
data mining; document handling; ontologies (artificial intelligence); pattern classification; portals; semantic Web; Internet; Web document; Web mining; beta-CKE portal; knowledge exchange; ontology-based classifier; semantic Web portal; semantic annotation; Construction industry; Data mining; HTML; Internet; Knowledge engineering; OWL; Ontologies; Portals; Semantic Web; Web mining;
Conference_Titel :
Innovations in Information Technology, 2006
Conference_Location :
Dubai
Print_ISBN :
1-4244-0674-9
Electronic_ISBN :
1-4244-0674-9
DOI :
10.1109/INNOVATIONS.2006.301881