A. Motro, A Formal Framework for Integrating Inconsistent Answers from Multiple Information Sources, Department of Information and Software Systems Engineering, George Mason University, Fairfax, VA, Technical Report ISSE-TR-93-106, October 1993.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....resources one would expect that sources would overlap in providing similar but inconsistent data. Inconsistencies are detected during the process of integration, and harmonization agents are engaged to resolve them. The concept of the harmonization agent is incorporated in the Multiplex [16, 52] proof of concept system which considers the reliability and quality of the conflicting information sources, and resolves conflicts in a way that increases the overall value of the information [15, 53 55] 6 3 Thesaurus Services for Infomediation in the InHead Architecture In this section we ....

A. Motro, A Formal Framework for Integrating Inconsistent Answers from Multiple Information Sources, Department of Information and Software Systems Engineering, George Mason University, Fairfax, VA, Technical Report ISSE-TR-93-106, October 1993.

.... and federated information systems ( 4] 25] as well as in many studies of interoperable and heterogeneous systems (see [26] In view of how frequently paraconsistencies have been recognised as a problem, treatments of their elimination, reduction, or acceptance are quite scarce (cf. [22]) For instance, almost all research into schema integration research has so far focussed on view integration. Data integration has largely been neglected, as has the data heterogeneity problem, i.e. the fact that the same data is often represented differently in different databases [6] In [18] ....

Amihai Motro: "A Formal Framework for Integrating Inconsistent Answers from Multiple Information Sources", Technical Report ISSE-TR-93-106, Department of Information & Software Systems Engineering, George Mason University, Fairfax, VA 1993. 16

....a specific property. 2.3 Multidatabases One of the most challenging and applicative areas of research in information systems is the integration of multiple information sources in a single virtual source that effectively encompasses the information contained in the entire environment. In [7] an attempt is made to provide formal definitions for fundamental concepts such as a multidatabase, a multidatabase query and a multidatabase answer. These definitions are intended to extend the commonly accepted definitions for a single database environment to an environment of multiple ....

....answer. Amultidatabase query is simply a query on the scheme D. The answer to a multidatabase query is obtained by transforming it to a query over the views in the first positions of the mappings (the answerable questions) Specific solutions to this transformation problem are not discussed in [7]. The results obtained in this paper extend this work described in [7] in two ways. First, we provide accurate semantics to the concept of a multidatabase query, by showing how a multidatabase query is transformed to a query over the answerable questions . This improves the specificity of the ....

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A. Motro. A formal framework for integrating inconsistent answers from multiple information sources. Technical Report ISSE-TR-93-106, Department of Information and Software Systems Engineering, George Mason University, October 1993.

....all the information that occurs in the real world. Hence, a database view has integrity, if it includes the whole truth (completeness) and nothing but the truth (soundness) A prototype database system that is based on these ideas is described in [10] These ideas were further developed in [9] and are summarized below. Given a database scheme D, we assume the existence of a hypothetical database instance d 0 that captures perfectly that portion of the real world that is modeled by D (the ideal or true database) In addition, we assume one or more actual instances d i (i 1) The ....

A. Motro. A formal framework for integrating inconsistent answers from multiple information sources. Technical Report ISSE-TR-93-106, Dept. Information and Software Systems Engineering, George Mason University, 1993.

....the information that occurs in the real world. Hence, a database view has integrity, if it includes the whole truth (completeness) and nothing but the truth (soundness) A prototype database system that is based on these ideas is described in [Motro, 1996a] These ideas were further developed in [Motro, 1993] and are summarized below. For every database scheme D, we assume two database instances. One, denoted d, is the information presently stored in the system (the stored database) The other, denoted d 0 , is a hypothetical database instance that captures perfectly that portion of the real world ....

A. Motro. A formal framework for integrating inconsistent answers from multiple information sources. Technical Report ISSE-TR-93-106, Dept. Information and Software Systems Engineering, George Mason University, 1993.

....16, 22] Yet the complementary problem of extensional inconsistencies has received much less attention. This problem arises when alternative sources with overlapping information provide mutually inconsistent information, and requires methods for resolving such inconsistencies in global answers [33, 1]. Inconsistencies result in multiple candidate answers; the dual problem also exists, in which a global query might have no answer at all. Such situations often occur when a member database becomes temporarily unavailable. In such cases, rather then reject the query altogether, it is desirable to ....

....of multidatabases is to integrate information from several, independent databases. Of course, the problem of integration is trivial, unless the information sources are inconsistent: i.e. a portion of the real world is described differently by more than one source. It has been observed recently [33] that such inconsistencies fall into two categories: 1) intensional inconsistencies, and (2) extensional inconsistencies. Intensional inconsistencies, often referred to as semantic heterogeneity, are defined as differences in modeling. For example, differences in relation schemes, or in the ....

A. Motro. A formal framework for integrating inconsistent answers from multiple information sources. Technical Report ISSE-TR-93-106, Department of Information and Software Systems Engineering, George Mason University, October 1993.

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