Sinopsis
Excerpt from A Metadata Approach to Resolving Semantic Conflicts
With the development of complex information systems, the need for the integration of heterogeneous information systems, and the availability of numerous online computer data sources, it has become increasingly important that methods be developed that consider the meaning of the data used in these systems. For example, it is important that an application requiring financial data in French francs does not receive data from a source that reports in another currency. This problem is further complicated by the fact that the source meaning may change at any time; a source that once supplied financial data in French francs might decide to change to reporting that data in European Currency Units (ecus).
To deal with this problem, these systems must have the ability to represent data semantics and detect and automatically resolve conflicts in data semantics. At best, present systems permit an application to examine the data type definitions in the database schema, thus allowing for typechecking within the application. But this limited capability does not allow a system to represent and examine detailed data semantics nor handle changing semantics.
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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Reseña del editor
Excerpt from A Metadata Approach to Resolving Semantic Conflicts
With the development of complex information systems, the need for the integration of heterogeneous information systems, and the availability of numerous online computer data sources, it has become increasingly important that methods be developed that consider the meaning of the data used in these systems. For example, it is important that an application requiring financial data in French francs does not receive data from a source that reports in another currency. This problem is further complicated by the fact that the source meaning may change at any time; a source that once supplied financial data in French francs might decide to change to reporting that data in European Currency Units (ecus).
To deal with this problem, these systems must have the ability to represent data semantics and detect and automatically resolve conflicts in data semantics. At best, present systems permit an application to examine the data type definitions in the database schema, thus allowing for typechecking within the application. But this limited capability does not allow a system to represent and examine detailed data semantics nor handle changing semantics.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Reseña del editor
Excerpt from A Metadata Approach to Resolving Semantic Conflicts
Semantic reconciliation is an important step in determining logical connectivity between a data source (database) and a data receiver (application). Semantic reconciliation is used to determine if the semantics of the data provided by the source is meaningful to the receiver. In this paper we describe a rule-based approach to semantic specification and demonstrate how this specification can be used to establish semantic agreement between a source and receiver. We describe query processing techniques that use these specifications along with conversion routines and query modification to guarantee correct data semantics. In addition, this work examines the effect of changing data semantics. These changes may occur at the source of the data or they may be changes in the specifications of the data semantics for the application. Methods are described for detecting these changes and for determining if the database can continue to supply meaningful data to the application. Though described in terms of the source-receiver model, these techniques can also be used for semantic reconciliation and schema integration for multidatabase systems.
With the development of complex information systems, the need for the integration of heterogeneous information systems, and the availability of numerous online computer data sources, it has become increasingly important that methods be developed that consider the meaning of the data used in these systems. For example, it is important that an application requiring financial data in French francs does not receive data from a source that reports in another currency. This problem is further complicated by the fact that the source meaning may change at any time; a source that once supplied financial data in French francs might decide to change to reporting that data in European Currency Units (ECUs).
To deal with this problem, these systems must have the ability to represent data semantics and detect and automatically resolve conflicts in data semantics.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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A Metadata Approach to Resolving Semantic Conflicts (Classic Reprint)
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Paperback. Condición: New. Print on Demand. This book explores a metadata approach to resolving semantic conflicts in data system environments, merging static and dynamic system perspectives. In the present era of increasingly complex information systems and growing integration of heterogeneous information systems, the book takes up the mantle of the crucial research question: how can methods be developed that consider the meaning of the data used in these systems? The author posits a metadata-based approach to resolving conflicts in data semantics, and additionally, a range of semantic reconciliation query processing techniques, to automatically guarantee correct data semantics. The work discusses the impact of changing data semantics at either the source or application, describing methods for detecting these changes, identifying whether a database can continue to supply meaningful data, and in some instances, resolving newfound semantic conflicts to allow data supply. Timely and thorough, this examination of metadata's role in semantic reconciliation within data system environments will be of high value to academics working on similar investigative paths and industry professionals seeking solutions to real-world data integration woes. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Nº de ref. del artículo: 9781332269808_0
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A Metadata Approach to Resolving Semantic Conflicts Classic Reprint
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781332269808
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