A Global-to-Local Rewriting Querying Mechanism Using Semantic Mapping for XML Schema Integration

Information integration is one of core problem for enterprise, the automatic integration for heterogeneous information is important to solve this problem. So this paper presents the method for information integration based on XML schema matching to realize information transport and integration across heterogeneous platforms. In this method, the Web services is adopted to solve the heterogeneity of data platform, the information is transformed to XML model, the schema integration is completed according to the XML schema matching, and the mapping relationship between different XML schema elements is created accordingly. When the user accesses the heterogeneous information, the mediator implements the instance integration according to this mapping relationship. Experiment indicated that this method can realize the information integration automatically.

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AXIS: A XML Schema Integration System

Conceptual Modeling - ER 2003 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-39648-2_48 ◽

2003 ◽

pp. 576-578 ◽

Cited By ~ 1

Author(s):

Bipin Sakamuri ◽

Sanjay Madria ◽

K. Passi ◽

Eric Chaudhry ◽

Mukesh Mohania ◽

...

Keyword(s):

Xml Schema ◽

Schema Integration ◽

Integration System

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A Grammar Based Model for XML Schema Integration

Lecture Notes in Computer Science - Advances in Databases ◽

10.1007/3-540-45033-5_13 ◽

2000 ◽

pp. 172-190 ◽

Cited By ~ 13

Author(s):

Ralf Behrens

Keyword(s):

Xml Schema ◽

Schema Integration

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XML Schema Integration and E-Commerce

Electronic Commerce ◽

10.4018/978-1-59904-943-4.ch026 ◽

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.

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XML Schema Integration to Facilitate E-Commerce

Web-Enabled Systems Integration ◽

10.4018/978-1-59140-041-7.ch004 ◽

2011 ◽

pp. 66-90 ◽

Cited By ~ 1

Author(s):

Louise Lane ◽

Kalpdrum Passi ◽

Sanjay Madria ◽

Mukesh Mohania

Keyword(s):

Enterprise Resource Planning ◽

Data Model ◽

Information Exchange ◽

Graphical Representation ◽

Resource Planning ◽

Xml Schema ◽

Schema Integration ◽

Data Types ◽

Layered Architecture ◽

Global Schema

XML has become the de facto standard for Information Exchange protocol for e-commerce and many workgroup applications such as Enterprise Resource Planning (ERP). The availability of large amounts of heterogeneous distributed web data necessitates the integration of XML data from multiple XML sources for many reasons. Currently, there are many e-commerce companies, which sell similar products but represent them using different XML schemas with possibly different ontologies. When any two such companies merge, there is a need for a uniform schema integration methodology. In some applications like comparison-shopping, there is a need for an illusionary centralized homogeneous information system. In this chapter, we propose an XML Schema integration methodology. We define an object-oriented data model called XSDM (XML Schema Data Model) and present a graphical representation of XML Schema for the purpose of schema integration. We use a three-layered architecture for XML Schema integration, with each layer presenting an integrated view of the concepts that characterize the layer below. The three layers included are namely pre-integration, comparison and integration. During pre-integration, an analysis of the schemas to be integrated occurs. During the comparison phase of integration, correspondences as well as conflicts between elements are identified. During the integration phase, restructuring and merging of the initial schemas takes place to obtain the global schema. We define integration policies for integrating element definitions as well as their data types and attributes. The policies are also applicable in integrating DTD schemas with other DTD/XML Schemas.

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XML Schema Integration and E-Commerce

Encyclopedia of Information Science and Technology, First Edition ◽

10.4018/978-1-59140-553-5.ch555 ◽

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.

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