An XML Schema for the Controlling Multiple Streams for Telepresence (CLUE) Data Model

2021 ◽  
Author(s):  
R. Presta ◽  
Keyword(s):  
Data Model ◽  
Xml Schema ◽  
Multiple Streams

Towards a Normal Form and a Query Language for Extended Relations Defined by Regular Expressions

2016 ◽  
Vol 27 (2) ◽  
pp. 27-48
Author(s):  
András Benczúr ◽  
Gyula I. Szabó
Keyword(s):  
Normal Form ◽  
Data Base ◽  
Data Model ◽  
Query Language ◽  
Xml Schema ◽  
Relational Model ◽  
Regular Expressions ◽  
Functional Dependencies ◽  
Decision Algorithm ◽  
Implication Problem

This paper introduces a generalized data base concept that unites relational and semi structured data models. As an important theoretical result we could find a quadratic decision algorithm for the implication problem of functional and join dependencies defined on the united data model. As practical contribution we presented a normal form for the new data model as a tool for data base design. With our novel representations of regular expressions, a more effective searching method could be developed. XML elements are described by XML schema languages such as a DTD or an XML Schema definition. The instances of these elements are semi-structured tuples. A semi-structured tuple is an ordered list of (attribute: value) pairs. We may think of a semi-structured tuple as a sentence of a formal language, where the values are the terminal symbols and the attribute names are the non-terminal symbols. In the authors' former work (Szabó and Benczúr, 2015) they introduced the notion of the extended tuple as a sentence from a regular language generated by a grammar where the non-terminal symbols of the grammar are the attribute names of the tuple. Sets of extended tuples are the extended relations. The authors then introduced the dual language, which generates the tuple types allowed to occur in extended relations. They defined functional dependencies (regular FD - RFD) over extended relations. In this paper they rephrase the RFD concept by directly using regular expressions over attribute names to define extended tuples. By the help of a special vertex labeled graph associated to regular expressions the specification of substring selection for the projection operation can be defined. The normalization for regular schemas is more complex than it is in the relational model, because the schema of an extended relation can contain an infinite number of tuple types. However, the authors can define selection, projection and join operations on extended relations too, so a lossless-join decomposition can be performed. They extended their previous model to deal with XML schema indicators too, e.g., with numerical constraints. They added line and set constructors too, in order to extend their model with more general projection and selection operators. This model establishes a query language with table join functionality for collected XML element data.

A Model of the Geometric Tolerances Modeling and Representation Process

2014 ◽  
Vol 556-562 ◽  
pp. 3961-3964
Author(s):  
Yong Jun Jiang
Keyword(s):  
Data Model ◽  
Product Information ◽  
Typical Feature ◽  
Xml Schema ◽  
Geometric Tolerances ◽  
Representation Model ◽  
Exchange Product

Fundamental to the IMP, is the requirement to provide a harmonized data model and represent it appropriately, including geometric tolerances information that can be understood well by computers and users. In this paper, we propose a layered conformance level geometric tolerances representation model. This model uses the widely applied ASME Y14.5M-1994 as its foundation layer by abstracting most information from this standard. Thus, different application domains in an enterprise can use this data model to exchange product information. This model is further transformed with XML Schema that can be used to generate XML instance file to satisfy geometric tolerances representation requirements in IMP. Fig.1 A typical feature control frame and its possible symbols. Fig.2. Example part.

Research on Data Model of Electronic Medical Record Based on XML

2010 ◽  
Vol 29-32 ◽  
pp. 1217-1222 ◽  
Author(s):  
Lina Liu ◽  
Qin Cen ◽  
Mei Ji ◽  
Li Qiong Chen
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Data Model ◽  
Xml Schema ◽  
Data Models ◽  
Advantages And Disadvantages

Comparing with the old medical record, EMR(Electronic Medical Record)has more advantages on morden society. While XML plays an important part in EMR, so people make no efforts to study the XML. There are two data models of XML, which are DTD and XML Schema .Firstly the paper introduces these two data models, then analysis advantages and disadvantages through an instance, finally draws the conclusion.

scholarly journals Approach to general data model of GIS symbol library and symbol library data exchange XML schema

2009 ◽  
Vol 12 (4) ◽  
pp. 235-242 ◽  
Author(s):  
Qingyuan Li ◽  
Deguo Su ◽  
Hongsheng Li ◽  
Haochen Liu ◽  
Lijian Sun
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Xml Schema ◽  
General Data ◽  
General Data Model

scholarly journals Fuzzy spatio-temporal data modeling based on XML schema

Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1663-1677 ◽  
Author(s):  
Xu Chen ◽  
Li Yan ◽  
Weijun Li ◽  
Fu Zhang
Keyword(s):  
Data Model ◽  
Spatial Information ◽  
Meteorological Data ◽  
Rapid Development ◽  
Xml Schema ◽  
Temporal Data ◽  
Time Data ◽  
Big Data Applications ◽  
Spatio Temporal ◽  
Space Data

With the rapid development of Internet and Big data applications, massive time and space data need to be processed. In order to manage space and time data, the key point is to build a correct data model. There are a lot of fuzzy temporal and spatial information in the real world, and XML has been a useful technology for dealing with various information in the context of Web. In this paper, we first study the fuzzy spatio-temporal data tree by extending the XML Schema and then propose a fuzzy spatio-temporal data model based on XML. Finally, we use the meteorological data to illustrate the validity and usability of the model.

scholarly journals ANALYSIS AND IMPLEMENTATION OF APPLICATION SCHEMAS FOR THE INSPIRE BUILDINGS THEME

2016 ◽  
Vol 56 (4) ◽  
pp. 291-300 ◽  
Author(s):  
Michal Med ◽  
Petr Souček
Keyword(s):  
Data Structure ◽  
European Commission ◽  
Data Model ◽  
Xml Schema ◽  
Research Center ◽  
Current Version ◽  
Joint Research ◽  
Open Geospatial Consortium

Implementing the INSPIRE directive involves transforming various data themes into the structure and content given by Data Specifications published by the Joint Research Center of the European Commission. The data is to be published in the GML format, which is the standard for the Open Geospatial Consortium. The validity of the data structure is ensured by validation against XML schemas. These schemas are usually also provided by JRC, though not necessarily for all application schemas. Six application schemas are defined for the currently implemented Buildings theme, but XML schemas are available for only three of them. All application schemas have been analyzed, and it has been found that the most suitable data model corresponds most closely to the BuildingsExtended2D application schema. No XML schema has been provided by JRC in the current version. The BuildingsExtendedBase abstract XML schema was also needed when using the previous schemas. There is now a need to create these missing XML schemas.

XML Schema Integration to Facilitate E-Commerce

2011 ◽  
pp. 66-90 ◽  
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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