DocumentCode
2181085
Title
Ontology-based knowledge structuring: an application on RSS Feeds
Author
De Maio, C. ; Fenza, G. ; Loia, V. ; Senatore, S.
Author_Institution
Dipt. di Mat. e Inf., Univ. degli Studi di Salerno, Fisciano
fYear
2009
fDate
21-23 May 2009
Firstpage
467
Lastpage
473
Abstract
This paper presents a framework for automatically structuring knowledge, in order to reveal the intrinsic relationships among data. The approach exploits a fuzzy extension of Formal Concept Analysis theory, applied to RSS feeds. On the basis of the RSS Feed content, fuzzy FCA generates an ontology oriented knowledge network, enabling the accessibility of web resources presented by feeds. The framework achieves a semantic aggregation of feeds through the analysis of the feed content.
Keywords
Internet; XML; content management; data analysis; ontologies (artificial intelligence); Internet; RSS feed content; XML; fuzzy formal concept analysis; ontology-based knowledge structuring; really simple syndication; Data mining; Feeds; Helium; Information services; Internet; Ontologies; Resource description framework; Web pages; Web sites; XML; Fuzzy Formal Concept Analysis (FFCA); RSS Feed; knowledge structuring; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Human System Interactions, 2009. HSI '09. 2nd Conference on
Conference_Location
Catania
Print_ISBN
978-1-4244-3959-1
Electronic_ISBN
978-1-4244-3960-7
Type
conf
DOI
10.1109/HSI.2009.5091024
Filename
5091024
Link To Document