Schema Evolution publication categorizer

The introduction of the Semantic Web vision and
the shift toward machine understandable Web resources has
unearthed the importance of automatic semantic reconciliation.
Consequently , new tools for automating the process
were proposed.In this work we present a formal model of
semantic reconciliation and analyze in a systematic manner
the properties of the process outcome, primarily the inherent
uncertainty of the matching process and how it reflects on
the resulting mappings.An important feature of this research
is the identification and analysis of factors that impact the
effectiveness of algorithms for automatic semantic reconciliation,
leading, it is hoped, to the design of better algorithms
by reducing the uncertainty of existing algorithms.Against
this background we empirically study the aptitude of two
algorithms to correctly match concepts.This research is both
timely and practical in light of recent attempts to develop and
utilize methods for automatic semantic reconciliation.