Bottom-up extraction and trust-based refinement of ontology metadata

Paolo Ceravolo, Ernesto Damiani, Marco Viviani

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


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.

Original languageBritish English
Pages (from-to)149-163
Number of pages15
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number2
StatePublished - Feb 2007


  • Ad hoc conceptualization
  • Bottom-up ontology
  • Fuzzy clustering techniques
  • Metadata extraction and maintenance
  • Semantic web
  • Trusted assertions


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