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 :
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