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Title Contextualization: An Abstraction Mechanism for Information Modeling
Author Θεοδωράκης, Μάνος
Thesis advisor Κωνσταντόπουλος, Παναγιώτης
Abstract In this chapter, we developed a model for representing contexts in information bases along with a set of operations for creating, updating, combining, and comparing contexts. A context is treated as a special object which is associated to a set of objects and a lexicon, i.e., a binding of names to these objects. Contexts may overlap, in the sense that an object may be contained in more than one contexts simultaneously. Contexts may also be nested, in the sense that a context may contain other contexts. Also, a context may be contained in more than one contexts. The main contributions of this work are: It allows an object to have zero, one, or more names, not necessarily unique, w.r.t. a context. Therefore, we can handle synonymous, homonymous, and anonymous objects. Possible name ambiguities are resolved by assuming that objects contained in well-defined contexts have at least one unique external identification (i.e., absolute name). The operations of context union, intersection satisfy the important properties commutativity, associativity, and distributivity, which offer flexibility in the execution of these operations. The operations of context union, intersection, and difference preserve the well-definedness of contexts. This ensures that unique external identification of objects is preserved, after applying the above operations on contexts.
Language English
Issue date 2001-07-01
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Doctoral theses
  Type of Work--Doctoral theses
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