Title :
Applying Concept Algebra to Information Restructuring of Web Documents
Author :
Hu, Kai ; Wang, Yingxu
Author_Institution :
Univ. of Calgary, Calgary
Abstract :
On the basis of concept algebra, this article presents a hierarchical model for web document restructuring and comprehension. The formal model for information restructuring of web documents is built on decoding the external knowledge representation in informal documents into cognitive knowledge represented by concept algebra and concept networks. The semantic relations between concepts in a document are expressed by semantic links among concepts. To automatically implement the information restructuring by machines, a two level knowledge base that mimic human lexical, syntactical, and semantic cognition is introduced. The information restructuring model provides a foundation for automatic concept indexing and knowledge extraction from web documents.
Keywords :
document handling; knowledge acquisition; knowledge representation; semantic Web; Web document comprehension; Web document restructuring; cognitive knowledge; concept algebra; concept indexing; concept networks; formal model; informal documents; information restructuring; knowledge extraction; knowledge representation; lexical cognition; semantic cognition; semantic links; semantic relations; syntactical cognition; Algebra; Cognition; Data mining; Decoding; Humans; Indexing; Knowledge engineering; Knowledge representation; Natural languages; Software engineering;
Conference_Titel :
Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
1-4244-1020-7
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2007.322