This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata
February 2007 (vol. 19 no. 2)
pp. 149-163
We present a way of building ontologies that proceeds in a bottom-up fashion, defining concepts as clusters of concrete XML objects. Our rough bottom-up ontologies are based on simple relations like association and inheritance, as well as on value restrictions, and can be used to enrich and update existing upper ontologies. Then, we show how automatically generated assertions based on our bottom-up ontologies can be associated with a flexible degree of trust by nonintrusively collecting user feedback in the form of implicit and explicit votes. Dynamic trust-based views on assertions automatically filter out imprecisions and substantially improve metadata quality in the long run.

[0]
[0]
[0]
[0]
[0]

Index Terms:
Semantic Web, bottom-up ontology, ad hoc conceptualization, metadata extraction and maintenance, fuzzy clustering techniques, trusted assertions.
Citation:
Paolo Ceravolo, Ernesto Damiani, Marco Viviani, "Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 2, pp. 149-163, Feb. 2007, doi:10.1109/TKDE.2007.23
Usage of this product signifies your acceptance of the Terms of Use.