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Probabilistic schema matching

Nottelmann H, Straccia U (2007) Information retrieval and machine learning for probabilistic schema matching. Inform Process Manag 43(3) 552—576 Pottinger R, Bernstein P (2002) Creating a mediated schema based on initial correspondences. IEEE Data Eng Bull 25 26-31... [Pg.108]

We can create the probability that is assigned with an attribute correspondence (Ai,Aj) by summing all probabilities of schema matchings in which (A, Aj) appears. That is, for a probabilistic attribute correspondence (A, Aj, p) we compute p to be ... [Pg.70]

The first observation is that top-AT schema matchings play a pivotal role in identifying attribute correspondences. We have shown that top-AT matchings can serve in identifying both good candidates for contextual attribute correspondences and probabilistic attribute correspondences. In this research direction, there are still many open questions, first of which is the ability to identify top-AT matchings in polynomial time. [Pg.71]


See other pages where Probabilistic schema matching is mentioned: [Pg.53]    [Pg.54]    [Pg.74]    [Pg.97]    [Pg.53]    [Pg.54]    [Pg.74]    [Pg.97]    [Pg.25]    [Pg.69]    [Pg.80]    [Pg.82]    [Pg.83]    [Pg.106]    [Pg.107]    [Pg.20]    [Pg.106]   
See also in sourсe #XX -- [ Pg.54 ]




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