On Inferences of Full Hierarchical Dependencies
نویسندگان
چکیده
Full hierarchical dependencies (FHDs) constitute a large class of relational dependencies. A relation exhibits an FHD precisely when it can be decomposed into at least two of its projections without loss of information. Therefore, FHDs generalise multivalued dependencies (MVDs) in which case the number of these projections is precisely two. The implication of FHDs has been defined in the context of some fixed finite universe. This paper identifies a sound and complete set of inference rules for the implication of FHDs. This axiomatisation is very reminiscent of that for MVDs. Then, an alternative notion of FHD implication is introduced in which the underlying set of attributes is left undetermined. The main result proposes a finite axiomatisation for FHD implication in undetermined universes. Moreover, the result clarifies the role of the complementation rule as a mere means of database normalisation. In fact, an axiomatisation for FHD implication in fixed universes is proposed which allows to infer any FHDs either without using the complementation rule at all or only in the very last step of the inference. This also characterises the expressiveness of an incomplete set of inference rules in fixed universes. The results extend previous work on MVDs by Biskup.
منابع مشابه
On Inferences of Full First-Order Hierarchical Decompositions
Database design aims to find a database schema that permits the efficient processing of common types of queries and updates on future database instances. Full first-order hierarchical decompositions constitute a large class of database constraints that can provide assistance to the database designer in identifying a suitable database schema. We establish finite axiomatisations of full first-ord...
متن کاملReasoning about functional and full hierarchical dependencies over partial relations
We study the implication problem for the combined class of functional and full hierarchical dependencies in the presence of SQL’s NOT NULL constraints. Two different notions of implication are addressed: one where a dependency is implied by the given set of dependencies plus the underlying schema, and one where a dependency is implied by the given set of dependencies alone. We establish axiomat...
متن کاملAppropriate Reasoning about Data Dependencies in Fixed and Undetermined Universes
We study inference systems for the combined class of functional and full hierarchical dependencies in relational databases. Two notions of implication are considered: the original version in which the underlying set of attributes is fixed, and the alternative notion in which this set is left undetermined. The first main result establishes a finite axiomatisation in fixed universes which clarifi...
متن کاملMaking Graphical Inferences: A Hierarchical Framework
A hierarchical framework suggesting how graph readers go beyond explicitly represented data to make inferences is presented. According to our hierarchical framework, graph readers use read-offs, integration and pattern extrapolation to make inferences. Verbal protocol data demonstrates highlevel differences in the way inferences are made and eye track data examines these processes at the percep...
متن کاملBayesian methods for hierarchical models: are ecologists making a Faustian bargain?
It is unquestionably true that hierarchical models represent an order of magnitude increase in the scope and complexity of models for ecological data. The past decade has seen a tremendous expansion of applications of hierarchical models in ecology. The expansion was primarily due to the advent of the Bayesian computational methods. We congratulate the authors for writing a clear summary of hie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007