The Foundations of XML and WSDL

2011 ◽  
pp. 7-31
Author(s):  
Jana Polgar ◽  
Robert Mark Braum ◽  
Tony Polgar
Keyword(s):  
Web Service ◽  
Development Stage ◽  
Xml Schema ◽  
Document Structure ◽  
Xml Documents ◽  
Type Definition ◽  
Xml Document ◽  
Extensible Markup ◽  
Basic Concepts ◽  
And Performance

XML stands for Extensible Markup Language (http://www.w3.org/XML/), and it has been adopted by industry for exchanging data in a platform, language, and protocol independent fashion. While XML has many benefits during the development stage, it has some performance disadvantages. This chapter provides a quick look at the following topics: 1. Overview of the standard and basic concepts; 2. Basic XML document structure; 3. Information about usage of Document Type Definition (DTD); 4. Structure and usage of XML Schema; and 5. Discussion about the design and performance issues when using XML documents with Web service.

Structure- and Content-Based Retrieval for XML Documents

2005 ◽  
pp. 2662-2664
Author(s):  
Jae-Woo Chang
Keyword(s):  
Expressive Power ◽  
Basic Element ◽  
Multimedia Data ◽  
Index Structure ◽  
Markup Language ◽  
Content Based Retrieval ◽  
Document Structure ◽  
Xml Documents ◽  
Xml Document ◽  
Extensible Markup

The XML was proposed as a standard markup language to make Web documents in 1996 (Extensible Markup Language, 2000). It has as good an expressive power as SGML and is easy to use like HTML. Recently, it has been common for users to acquire through the Web a variety of multimedia documents written by XML. Meanwhile, because the number of XML documents is dramatically increasing, it is difficult to reach a specific XML document required by users. Moreover, an XML document not only has a logical and hierarchical structure in common, but also contains its multimedia data, such as image and video. Thus, it is necessary to retrieve XML documents based on both document structure and image content. For supporting the structure-based retrieval, it is necessary to design four efficient index structures, that is, keyword, structure, element, and attribute index, by indexing XML documents using a basic element unit. For supporting the content-based retrieval, it is necessary to design a high-dimensional index structure so as to store and retrieve both color and shape feature vectors efficiently.

TRANSLATING RELATIONAL SCHEMA WITH CONSTRAINTS INTO XML SCHEMA

2006 ◽  
Vol 16 (02) ◽  
pp. 201-243 ◽  
Author(s):  
JOSEPH FONG ◽  
ANTHONY FONG ◽  
H. K. WONG ◽  
PHILIP YU
Keyword(s):  
Relational Database ◽  
Xml Schema ◽  
Data Type ◽  
Relational Data ◽  
The Internet ◽  
Conceptual Schema ◽  
Root Element ◽  
Xml Documents ◽  
Type Definition ◽  
Xml Document

With XML adopted as the technology trend on the Internet, and with investment in the current relational database systems, companies must convert their relational data into XML documents for data transmission on the Internet. In the process, to preserve the users' relational data requirements of data constraints into the converted XML documents, we must define a meaningful root element for each XML document. The construction of an XML document is based on the root element and its relevant elements. The root element can be selected from a relational entity table in the existing relational database, which depends on the requirements to present the business behind. The relevant elements are mapped from the related entities, based on the navigability of the chosen entity. The derived root and relevant elements can form a Data Type Definition Graph (DTD-graph) of an XML conceptual schema diagram which can be mapped into a Data Type Definition (DTD) of an XML schema. The result is a translated XML schema with semantic constraints transferred from a relational conceptual schema of an Extended Entity Relationship (EER) model. The data conversion from relational data to the XML documents can be done after the schema translation. The relational data are loaded into XML documents according to the translated DTD.

scholarly journals Automatic Mapping of XML Documents into Relational Database

2013 ◽  
pp. 180-186
Author(s):  
Ibrahim Dweib ◽  
Joan Lu
Keyword(s):  
Relational Database ◽  
Execution Time ◽  
Database Systems ◽  
Document Structure ◽  
Xml Documents ◽  
Xml Document ◽  
Extensible Markup ◽  
Mapping Process ◽  
Automatic Mapping ◽  
Relational Database Systems

Extensible Markup Language (XML) nowadays is one of the most important standard media used for exchanging and representing data through the Internet. Storing, updating, and retrieving the huge amount of web services data such as XML is an attractive area of research for researchers and database vendors. In this chapter, the authors propose and develop a new mapping model, called MAXDOR, for storing, rebuilding, updating, and querying XML documents using a relational database without making use of any XML schemas in the mapping process. The model addressed the problem of solving the structural hole between ordered hierarchical XML and unordered tabular relational database to enable us to use relational database systems for storing, updating, and querying XML data. A multiple link list is used to maintain XML document structure, manage the process of updating document contents, and retrieve document contents efficiently. Experiments are done to evaluate MAXDOR model. MAXDOR will be compared with other well-known models available in the literature (Tatarinov et al., 2002) and (Torsten et al., 2004) using total expected value of rebuilding XML document execution time and insertion of token execution time.

XML Schema Integration and E-Commerce

2011 ◽  
pp. 286-291
Author(s):  
Kalpdrum Passi ◽  
Louise Lane ◽  
Sanjay Madria ◽  
Mukesh Mohania
Keyword(s):  
Incomplete Data ◽  
Xml Schema ◽  
Structured Data ◽  
Markup Language ◽  
Schema Integration ◽  
Semantic Meaning ◽  
Data Set ◽  
Xml Documents ◽  
Xml Document ◽  
Extensible Markup

XML (eXtensible Markup Language) is used to describe semi-structured data, i.e., irregular or incomplete data whose structure may be subject to unpredictable changes. Unlike traditional semi-structured data, XML documents are self-describing, thus XML provides a platform-independent means to describe data and, therefore, can transport data from one platform to another (Bray, Paoli, & Sperberg-McQueen, 1998). XML documents can be both created and used by applications. The valid content, allowed structure, and metadata properties of XML documents are described by their related schema(s) (Thompson, Beech, Maloney, & Mendelsohn, 2001). An XML document is said to be valid if it conforms to its related schema. A schema also gives additional semantic meaning to the data it is used to tag. The schema is provided independently of the data it describes. Any given data set may rely on multiple schemas for validation. Any given schema may itself refer to multiple schemas.

XML Schema Integration and E-Commerce

2005 ◽  
pp. 3118-3121
Author(s):  
Kalpdrum Passi ◽  
Louise Lane ◽  
Sanjay Madria ◽  
Mukesh Mohania
Keyword(s):  
Incomplete Data ◽  
Xml Schema ◽  
Structured Data ◽  
Markup Language ◽  
Schema Integration ◽  
Semantic Meaning ◽  
Data Set ◽  
Xml Documents ◽  
Xml Document ◽  
Extensible Markup

XML (eXtensible Markup Language) is used to describe semi-structured data, i.e., irregular or incomplete data whose structure may be subject to unpredictable changes. Unlike traditional semi-structured data, XML documents are self-describing, thus XML provides a platform-independent means to describe data and, therefore, can transport data from one platform to another (Bray, Paoli, & Sperberg-McQueen, 1998). XML documents can be both created and used by applications. The valid content, allowed structure, and metadata properties of XML documents are described by their related schema(s) (Thompson, Beech, Maloney, & Mendelsohn, 2001). An XML document is said to be valid if it conforms to its related schema. A schema also gives additional semantic meaning to the data it is used to tag. The schema is provided independently of the data it describes. Any given data set may rely on multiple schemas for validation. Any given schema may itself refer to multiple schemas.

XML Documents Normalization Using GN-DTD

2013 ◽  
pp. 54-77
Author(s):  
Zurinahni Zainol ◽  
Bing Wang
Keyword(s):  
Normal Forms ◽  
Document Type Definition ◽  
Document Type ◽  
Graphical Notation ◽  
Xml Documents ◽  
Type Definition ◽  
Xml Document ◽  
Multiple Levels ◽  
Normalization Process

Designing a well-structured XML document is important for the sake of readability, maintainability and more importantly to avoid both data redundancies and update anomalies. This paper proposes to improve and simplify XML structural design using a normalization process. To achieve this, Graphical Notation for Document Type Definition (GN-DTD) is used to describe the structure of XML document at the schema level. Multiple levels of normal forms for GN-DTD are proposed and the corresponding normalization rules to transform from poorly designed into well-designed XML documents. A case study is presented to show the application of these normal forms and normalization algorithm.

Extending XML Types Using Updates

2010 ◽  
pp. 1-21 ◽  
Author(s):  
Béatrice Bouchou ◽  
Denio Duarte ◽  
Mírian Halfeld Ferrari ◽  
Martin A. Musicante
Keyword(s):  
Web Service ◽  
Xml Schema ◽  
Experimental Results ◽  
Element Content ◽  
Network Connection ◽  
Service Evolution ◽  
Xml Document ◽  
Communication Needs ◽  
Service Protocol ◽  
The Web

The XML Messaging Protocol, a part of the Web service protocol stack, is responsible for encoding messages in a common XML format (or type), so that they can be understood at either end of a network connection. The evolution of an XML type may be required in order to reflect new communication needs, materialized by slightly different XML messages. For instance, due to a service evolution, it might be interesting to extend a type in order to allow the reception of more information, when it is available, instead of always disregarding it. The authors’ proposal consists in a conservative XML schema evolution. The framework is as follows: administrators enter updates performed on a valid XML document in order to specify new documents expected to be valid, and the system computes new types accepting both such documents and previously valid ones. Changing the type is mainly changing regular expressions that define element content models. They present the algorithm that implements this approach, its properties and experimental results.

Abstract DTD Graph from an XML Document

2010 ◽  
pp. 204-224
Author(s):  
Joseph Fong ◽  
Herbert Shiu
Keyword(s):  
Relational Database ◽  
The Internet ◽  
Conceptual Schema ◽  
Reverse Engineer ◽  
Xml Documents ◽  
Data Interchange ◽  
Data Semantics ◽  
Xml Document ◽  
Extensible Markup ◽  
Implicit And Explicit

Extensible Markup Language (XML) has become a standard for persistent storage and data interchange via the Internet due to its openness, self-descriptiveness and flexibility. This chapter proposes a systematic approach to reverse engineer arbitrary XML documents to their conceptual schema – Extended DTD Graphs ? which is a DTD Graph with data semantics. The proposed approach not only determines the structure of the XML document, but also derives candidate data semantics from the XML element instances by treating each XML element instance as a record in a table of a relational database. One application of the determined data semantics is to verify the linkages among elements. Implicit and explicit referential linkages are among XML elements modeled by the parent-children structure and ID/IDREF(S) respectively. As a result, an arbitrary XML document can be reverse engineered into its conceptual schema in an Extended DTD Graph format.

Research of Data Exchange Model among Information Systems

2014 ◽  
Vol 608-609 ◽  
pp. 401-407
Author(s):  
Su Jin Cai
Keyword(s):  
Information Systems ◽  
Data Storage ◽  
Data Exchange ◽  
Xml Schema ◽  
Exchange Model ◽  
Relational Schema ◽  
Xml Documents ◽  
The Core ◽  
Xml Document ◽  
Information Circulation

Data exchange can make different information systems of enterprises realize data interaction. The objective establishing it is to keep information sharing and synchronization in enterprises, which can effectively use resources, improve the performance of the system and speeds up information circulation. Data exchange model is the core of realizing data exchange and it has a set of completed data storage and access mechanism. The paper verifies the mapping of relational schema and XML schema, the conversion of database and XML data, and XML document schema, and the paper constructs XSLT documents among different XML schemas, and explains and implements the algorithms of the conversion among different XML documents.

scholarly journals Extending Java for High-Level Web Service Construction

2002 ◽  
Vol 9 (11) ◽  
Author(s):  
Aske Simon Christensen ◽  
Anders Møller ◽  
Michael I. Schwartzbach
Keyword(s):  
Web Service ◽  
Program Development ◽  
Support Program ◽  
Service Development ◽  
Document Type ◽  
Xml Documents ◽  
Java Language ◽  
Type Definition ◽  
Flexible Mechanism ◽  
High Level

We incorporate innovations from the <tt>&lt;bigwig&gt;</tt> project into the Java language to provide high-level features for Web service programming. The resulting language, JWIG, contains an advanced session model and a flexible mechanism for dynamic construction of XML documents, in particular XHTML. To support program development we provide a suite of program analyses that at compile-time verify for a given program that no run-time errors can occur while building documents or receiving form input, and that all documents being shown are valid according to the document type definition for XHTML 1.0.<br /> <br />We compare JWIG with Servlets and JSP which are widely used Web service development platforms. Our implementation and evaluation of JWIG indicate that the language extensions can simplify the program structure and that the analyses are sufficiently fast and precise to be practically useful.

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