XML Schema Model Research Articles

Implementation of an Ontology-Based Approach to Enable Agility in Kit Building Applications

The effort described in this paper attempts to integrate agility aspects in the “Agility Performance of Robotic Systems” (APRS) project, developed at the National Institute of Standards and Technology (NIST). The technical idea for the APRS project is to develop the measurement science in the form of an integrated agility framework enabling manufacturers to assess and assure the agility performance of their robot systems. This framework includes robot agility performance metrics, information models, test methods, and protocols. This paper focuses on the information models and describes how they are used to introduce robot agility within the kitting domain. The described models have been fully defined in the XML Schema Definition Language (XSDL) and in the Web Ontology Language (OWL) for kit building applications. Kit building or kitting is a process that brings parts that will be used in assembly operations together in a kit and then moves the kit to the area where the parts are used in the final assembly. Details are given on the automatic generation of OWL class model files from XML schema model files. Files of OWL instances conforming to an OWL class model are generated automatically from XML instance files by automatically-built translators. Furthermore, a design methodology for kit building is presented and shows how the different information models are used with the other components of the methodology.

Semantic Enrichment of XML Schema to Transform Association Relationships in ODL Schema

This paper presents an approach for transforming an XML schema we enriched in ODL (Object Definition Language) schemas. It is possible to realize the concepts of ODL in a model of XML schema, we propose to introduce an enrichment concretizing these concepts in the XML Schema models. We chose oriented object database as a target database because there are many common characteristics between XML and object-oriented model, thus the mapping from XML data into object-oriented databases is more interesting. Also the object-oriented data bases have become very widespread and acceptable and they offer an evolutionary approach, so we agree that it is time to develop a translation between XML and OO databases. The purpose of this article is to automate transformation process of an XML schema to an ODL database. Our work focuses on preserving semantics transformation of association relationships and we describe set of rules to create ODL classes from an enriched XML schema. The experimental study shows that the approach is feasible, and results are the same, the source database is transformed into target one without loss of data.

Incremental checking of Master Data Management model based on contextual graphs

The validation of models is a crucial step in distributed heterogeneous systems. In this paper, an incremental validation method is proposed in the scope of a Model Driven Engineering (MDE) approach, which is used to develop a Master Data Management (MDM) field represented by XML Schema models. The MDE approach presented in this paper is based on the definition of an abstraction layer using UML class diagrams. The validation method aims to minimise the model errors and to optimisethe process of model checking. Therefore, the notion of validation contexts is introduced allowing the verification of data model views. Description logics specify constraints that the models have to check. An experimentation of the approach is presented through an application developed in ArgoUML IDE.

Unstructured Content Analysis & Classification System for the IRS

ontological approaches to personalizing queries of unstructured data requires intensive use of XML-based tables and schema. From the legacy design efforts for CSDL to the myriad of approaches to XML schema development including the development of XIRQL , Hybrid XML retrieval and XML queries , the adoption of advanced techniques for unstructured content management is progressing rapidly. Paralleling these research advances is pervasive adoption of Cloud Computing platforms including Software-as-a-Service (SaaS), driven by the growth of the Amazon Web Services platform in addition to others. The intent of this thesis proposal is to define an XML schema that can aggregate unstructured content that when combined based on the individualized taxonomies and ontological preferences of system users, delivers highly relevant and timely data. The proposed XML Schema Model for Unstructured Content Personalization shown in Figure 1. This model is further supported by the development of and continual fine-tuning of Quantum Information Algorithms to define approximate taxonomies and approaches to creating role-based query is used as the basis of creating personalization pathways in the data. Quantum Information Theory also makes it possible to create enterprise-wide networks of knowledge management systems that can effectively over time through the use of latent semantic indexing (LSI) to create linguistic models of representation of the data. Quantum Information Theory provides the basis for creating an entire network of systems that can in essence learn over time, continually fueling new insights into the knowledgebase of the complex of systems themselves.

Model driven development of secure XML databases

In this paper, we propose a methodological approach for the model driven development of secure XML databases (DB). This proposal is within the framework of MIDAS, a model driven methodology for the development of Web Information Systems based on the Model Driven Architecture (MDA) proposed by the Object Management Group (OMG) [20]. The XML DB development process in MIDAS proposes using the data conceptual model as a Platform Independent Model (PIM) and the XML Schema model as a Platform Specific Model (PSM), with both of these represented in UML. In this work, such models will be modified, so as to be able to add security aspects if the stored information is considered as critical. On the one hand, the use of a UML extension to incorporate security aspects at the conceptual level of secure DB development (PIM) is proposed; on the other, the previously-defined XML schema profile will be modified, the purpose being to incorporate security aspects at the logical level of the secure XML DB development (PSM). In addition to all this, the semi-automatic mappings from PIM to PSM for secure XML DB will be defined.

Proposal for Xml Schema V 1.1 as a Basis for Xmlrepository.Org

XML schema was published on May 2, 2001, as a Recommendation of the W3-Consortium (W3C). XML schema forms the basis for modern electronic data processing. However, the presence of some restrictions within XML schema is now recognized, and its inclusion in further standards is discussed. The XML Schema Working Group is currently working to develop a set of requirements for XML Schema 1.1, which is intended to be mostly compatible with XML Schema 1.0. This proposal is additionally extending the scope of Schema 1.1 in a way that is more compatible with URI names. What is the background for this extension? XML schema offers the functionality to import other schemas. xmlrepository.org, presented here, is a portal and name space for testing and publishing XML schema modules. Consequently, xmlrepository.org ought to be a library of basic schemas from all fields, university and scientific as well as economic and industrial ones. Each entry in the library is catalogued in accordance with the catalogue at W3C, built upon year, month, and variable name. Year and month (as numbers) are currently no names according to XML Schema 1.0. Second, the variable—initially "unknown"—name could not be mapped into an XML schema. This article tries to extend the current XML schema model to a more flexible way of naming tags and also to allow variable tags according to XPath expressions.