Jennifer Widom's Active Database Systems: Triggers and Rules for Advanced PDF

By Jennifer Widom

Active database platforms improve conventional database performance with strong rule-processing services, offering a uniform and effective mechanism for plenty of database procedure functions. between those functions are integrity constraints, perspectives, authorization, statistics amassing, tracking and alerting, knowledge-based structures, specialist platforms, and workflow administration. this important assortment makes a speciality of the main well-liked examine tasks in lively database structures. The undertaking leaders for every prototype method offer specified discussions in their tasks and the relevance in their effects to the way forward for energetic database structures. * A vast assessment of present energetic database platforms and the way they are often prolonged and better * A accomplished advent to the middle issues of the sector, together with its motivation and historical past * assurance of energetic database (trigger) functions in advertisement items * dialogue of approaching criteria

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Jar jar file. 2) for the beta distributions of the positive and negative similarity measures, respectively. Precision and recall are used as the evaluation metrics. il/OntoBuilder. 40 4. 3. CONSTRUCTING ENSEMBLES 41 correspondence that belongs to the exact matching is considered to be correct, even if the complex matching is not fully captured. This method aims at compensating the matchers for the 1 : 1 cardinality enforcement. The experiment provides a comparative analysis of the performance of the 2LNB heuristic with four heuristics that enforce a matching cardinality of 1 : 1.

Such a relation may, at some α level, generate a partition of the domain, similarly to α-level equivalence. , 2007]. 3. REASONING WITH UNCERTAIN SCHEMA MATCHING 23 Consider two non-negative numeric domains D = {0, 15, 30, 45} and D = {0, 10, 20, 30, 40, 50}, both representing a fraction of an hour within which a car will be picked up. 7. 1, is reflexive (since d − d = 0) and symmetric (since |d − d | = |d − d|), yet nontransitive, which makes it a proximity relation. As an example, consider a third domain D" = {0, 30}.

2007]: thresholding and the use of the MWBG algorithm for selecting a maximum weighted bipartite graph. 4. , 2006]). Rather, the same schema matcher generates multiple matrices that are then evaluated to generate a single similarity matrix by a special form of thresholding. ✷ 18 3. 8 raises interesting observations. First, the modeling of secondline matchers can serve as a reference framework for comparing various research efforts in schema matching. For example, while combiners and match selectors are defined to be separate types by Lee et al.

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