The Experts below are selected from a list of 4407 Experts worldwide ranked by ideXlab platform
Wesley W Chu - One of the best experts on this subject based on the ideXlab platform.
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cpi constraints preserving inlining algorithm for mapping xml dtd to relational schema
Data and Knowledge Engineering, 2001Co-Authors: Dongwon Lee, Wesley W ChuAbstract:Abstract As Extensible Markup Language (XML) is emerging as the data format of the Internet era, there are increasing needs to efficiently store and query XML data. One path to this goal is transforming XML data into relational format in order to use relational database technology. Although several transformation algorithms exist, they are incomplete in the sense that they focus only on structural aspects and ignore semantic aspects. In this paper, we present the semantic knowledge that needs to be captured during transformation to ensure a correct relational schema. Further, we show an algorithm that can (1) derive such semantic knowledge from a given XML document type definition (DTD) and (2) preserve the knowledge by representing it as semantic constraints in relational database terms. By combining existing transformation algorithms and our constraints-preserving algorithm, one can transform XML DTD to relational schema where correct semantics and behaviors are guaranteed by the preserved constraints. Experimental results are also presented.
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constraints preserving transformation from xml document type definition to relational schema
Lecture Notes in Computer Science, 2000Co-Authors: Dongwon Lee, Wesley W ChuAbstract:As Extensible Markup Language (XML) [5] is emerging as the data format of the internet era, there are increasing needs to efficiently store and query XML data. One way towards this goal is using relational database by transforming XML data into relational format. In this paper, we argue that existing transformation algorithms are not complete in the sense that they focus only on structural aspects and ignoring semantic aspects. We present the semantic knowledge that needs to be captured during the transformation to ensure a correct relational schema. Further, we show a simple algorithm that can 1) derive such semantic knowledge from the given XML document type definition (DTD) and 2) preserve the knowledge by representing them in terms of semantic constraints in relational database terms. By combining the existing transformation algorithms and our constraints-preserving algorithm, one can transform XML DTD to relational schema where correct semantics and behaviors are guaranteed by the preserved constraints. Experimental results are also presented.
Dongwon Lee - One of the best experts on this subject based on the ideXlab platform.
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cpi constraints preserving inlining algorithm for mapping xml dtd to relational schema
Data and Knowledge Engineering, 2001Co-Authors: Dongwon Lee, Wesley W ChuAbstract:Abstract As Extensible Markup Language (XML) is emerging as the data format of the Internet era, there are increasing needs to efficiently store and query XML data. One path to this goal is transforming XML data into relational format in order to use relational database technology. Although several transformation algorithms exist, they are incomplete in the sense that they focus only on structural aspects and ignore semantic aspects. In this paper, we present the semantic knowledge that needs to be captured during transformation to ensure a correct relational schema. Further, we show an algorithm that can (1) derive such semantic knowledge from a given XML document type definition (DTD) and (2) preserve the knowledge by representing it as semantic constraints in relational database terms. By combining existing transformation algorithms and our constraints-preserving algorithm, one can transform XML DTD to relational schema where correct semantics and behaviors are guaranteed by the preserved constraints. Experimental results are also presented.
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constraints preserving transformation from xml document type definition to relational schema
Lecture Notes in Computer Science, 2000Co-Authors: Dongwon Lee, Wesley W ChuAbstract:As Extensible Markup Language (XML) [5] is emerging as the data format of the internet era, there are increasing needs to efficiently store and query XML data. One way towards this goal is using relational database by transforming XML data into relational format. In this paper, we argue that existing transformation algorithms are not complete in the sense that they focus only on structural aspects and ignoring semantic aspects. We present the semantic knowledge that needs to be captured during the transformation to ensure a correct relational schema. Further, we show a simple algorithm that can 1) derive such semantic knowledge from the given XML document type definition (DTD) and 2) preserve the knowledge by representing them in terms of semantic constraints in relational database terms. By combining the existing transformation algorithms and our constraints-preserving algorithm, one can transform XML DTD to relational schema where correct semantics and behaviors are guaranteed by the preserved constraints. Experimental results are also presented.
Kwok P Lee - One of the best experts on this subject based on the ideXlab platform.
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xml schema representation of dicom structured reporting
Journal of the American Medical Informatics Association, 2003Co-Authors: Kwok P LeeAbstract:Objective: The Digital Imaging and Communications in Medicine (DICOM) Structured Reporting (SR) standard improves the expressiveness, precision, and comparability of documentation about diagnostic images and waveforms. It supports the interchange of clinical reports in which critical features shown by images and waveforms can be denoted unambiguously by the observer, indexed, and retrieved selectively by subsequent reviewers. It is essential to provide access to clinical reports across the health care enterprise by using technologies that facilitate information exchange and processing by computers as well as provide support for robust and semantically rich standards, such as DICOM. This is supported by the current trend in the healthcare industry towards the use of Extensible Markup Language (XML) technologies for storage and exchange of medical information. The objective of the work reported here is to develop XML Schema for representing DICOM SR as XML documents. Design: We briefly describe the document type definition (DTD) for XML and its limitations, followed by XML Schema (the intended replacement for DTD) and its features. A framework for generating XML Schema for representing DICOM SR in XML is presented next. Measurements: None applicable. Results: A schema instance based on an SR example in the DICOM specification was created and validated against the schema. The schema is being used extensively in producing reports on Philips Medical Systems ultrasound equipment. Conclusion: With the framework described it is feasible to generate XML Schema using the existing DICOM SR specification. It can also be applied to generate XML Schemas for other DICOM information objects.
Christoph J Freytag - One of the best experts on this subject based on the ideXlab platform.
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xml conceptual modeling using uml
Lecture Notes in Computer Science, 2000Co-Authors: Rainer Conrad, Dieter Scheffner, Christoph J FreytagAbstract:The eXtensible Markup Language (XML) is increasingly finding acceptance as a standard for storing and exchanging structured and semi-structured information. With its expressive power, XML enables a great variety of applications relying on such structures - notably product catalogs, digital libraries, and electronic data interchange (EDI). As the data schema, an XML document type definition (DTD) is a means by which documents and objects can be structured. Currently, there is no suitable way to model DTDs conceptually. Our approach is to model DTDs and thus classes of documents on the basis of UML (Unified Modeling Language). We consider UML to be the connecting link between software engineering and document design, i.e., it is possible to design object-oriented software together with the necessary XML structures. For this reason, we describe how to transform the static part of UML, i.e. class diagrams, into XML DTDs. The major challenge for the transformation is to define a suitable mapping reflecting the semantics of a UML specification in a DTD correctly. Because of XML's specific properties, we slightly extend the UML language in a UML-compliant way. Our approach provides the stepping stone to bridge the gap between object-oriented software design and the development of XML data schemata.
Janice E Ruth - One of the best experts on this subject based on the ideXlab platform.
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the development and structure of the encoded archival description ead document type definition
The Journal of Internet Cataloging, 2001Co-Authors: Janice E RuthAbstract:SUMMARY Although there has been recent speculation about applying the Encoded Archival Description (EAD) document type definition (DTD) to a host of descriptive outputs, including catalog records and subject guides, its perceived need, design, and development emerged from the American archival community's focus on that special subset of finding aids known as collection inventories and registers. This article briefly analyzes the traditional function and structure of these finding aids in a paper-based form and explores how longtime interest in disseminating these guides electronically led to the formation of the Berkeley Finding Aid Project in 1993, and five years later, to the version 1.0 release of EAD. The author provides a basic outline of EAD's structure and demonstrates that although much of its design stems from American archival practice, its developers tried from the outset to create a data model that would merit international support and address the needs of a wide variety of archival institutio...
