Title :
Information extraction from heterogeneous sources using domain ontologies
Author :
Chaudhry, Waqas-Ur-Rehman ; Meziane, Farid
Author_Institution :
Sch. of Comput. Sci. & Eng., Salford Univ., UK
Abstract :
The main objective of this paper is to describe the KAARE (knowledge availability, access, retrieval and extraction) system, a generic business model for knowledge extraction of semi structured and unstructured data from Web pages. The system is ontology driven and provides a set of generic tools that will enable an effective access, retrieval and filtering of information available on the World Wide Web. The interactive model is composed of five managers namely the query manager, the ontology manager, the search manager, the information manager, and the presentation manager. Each manager is responsible for carrying out the delegated tasks from which valid inferences can be made.
Keywords :
information filtering; information management; knowledge acquisition; knowledge management; ontologies (artificial intelligence); query processing; search engines; Web pages; World Wide Web; domain ontologies; generic business model; heterogeneous sources; information extraction; information filtering; information manager; knowledge access; knowledge availability; knowledge extraction; knowledge retrieval; ontology manager; presentation manager; query manager; search manager; Content based retrieval; Data engineering; Data mining; Humans; Information management; Information retrieval; Ontologies; Semantic Web; Web pages; World Wide Web;
Conference_Titel :
Emerging Technologies, 2005. Proceedings of the IEEE Symposium on
Print_ISBN :
0-7803-9247-7
DOI :
10.1109/ICET.2005.1558934