Journal articles: 'XML schema'

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LU, JIANGUO, JU WANG, and SHENGRUI WANG. "XML SCHEMA MATCHING." International Journal of Software Engineering and Knowledge Engineering 17, no. 05 (2007): 575–97. http://dx.doi.org/10.1142/s0218194007003446.

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XML Schema matching problem can be formulated as follows: given two XML Schemas, find the best mapping between the elements and attributes of the schemas, and the overall similarity between them. XML Schema matching is an important problem in data integration, schema evolution, and software reuse. This paper describes a matching system that can find accurate matches and scales to large XML Schemas with hundreds of nodes. In our system, XML Schemas are modeled as labeled and unordered trees, and the schema matching problem is turned into a tree matching problem. We proposed Approximate Common Structures in trees, and developed a tree matching algorithm based on this concept. Compared with the traditional tree edit-distance algorithm and other schema matching systems, our algorithm is faster and more suitable for large XML Schema matching.

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Pusnik, Maja, Marjan Hericko, Zoran Budimac, and Bostjan Sumak. "XML schema metrics for quality evaluation." Computer Science and Information Systems 11, no. 4 (2014): 1271–89. http://dx.doi.org/10.2298/csis140815077p.

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In XML Schema development, the quality of XML Schemas is a crucial issue for further steps in the life cycle of an application, closely correlated with the structure of XML Schemas and different building blocks. Current research focuses on measuring complexity of XML Schemas and mainly do not consider other quality aspects. This paper proposes a novel quality measuring approach, based on existing software engineering metrics, additionally defining quality aspect of XML Schemas in the following steps: (1) definition of six schema quality aspects, (2) adoption of 25 directly measurable XML Schema variables, (3) proposition of six composite metrics, applying 25 measured variables and (4) composite metrics validation. An experiment using 250 standard XML Schemas collected from available e-business information systems was conducted. The results illustrate influence of XML Schema characteristics on its quality and evaluate applicability of metrics in the measurement process, a useful tool for software developers while building or adopting XML Schemas.

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Klímek, Jakub, Soběslav Benda, and Martin Nečaský. "Translation of Structural Constraints from Conceptual Model for XML to Schematron." JUCS - Journal of Universal Computer Science 20, no. (3) (2014): 277–301. https://doi.org/10.3217/jucs-020-03-0277.

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Today, XML (eXtensible Markup Language) is a standard for exchange inside and among IT infrastructures. For the exchange to work an XML format must be negotiated between the communicating parties. The format is often expressed as an XML schema. In our previous work, we introduced a conceptual model for XML, which utilizes modeling, evolution and maintenance of a set of XML schemas and allows schema designers to export modeled formats into grammar-based XML schema languages like DTD and XML Schema. However, there is another type of XML schema languages called rule-based languages with Schematron as their main representative. In our preceding conference paper [Benda et al.(2013)] we briefly introduced the process of translation from our conceptual model to Schematron. Expressing XML schemas in Schematron has advantages over grammar-based languages and in this paper, we describe the previously introduced translation in more detail with focus on structural constraints and how they are represented in Schematron. Also, we discuss the possibilities and limitations of translation from our grammar-based conceptual model to the rule-based Schematron.

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Campbell, Charles E., Andrew Eisenberg, and Jim Melton. "XML schema." ACM SIGMOD Record 32, no. 2 (2003): 96–101. http://dx.doi.org/10.1145/776985.777002.

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Hansch, Matthias, Stefan Kuhlins, and Martin Schader. "XML-Schema." Informatik-Spektrum 25, no. 5 (2002): 363–66. http://dx.doi.org/10.1007/s002870200253.

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FONG, JOSEPH, ANTHONY FONG, H. K. WONG, and PHILIP YU. "TRANSLATING RELATIONAL SCHEMA WITH CONSTRAINTS INTO XML SCHEMA." International Journal of Software Engineering and Knowledge Engineering 16, no. 02 (2006): 201–43. http://dx.doi.org/10.1142/s0218194006002744.

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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.

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Med, Michal, and Petr Souček. "ANALYSIS AND IMPLEMENTATION OF APPLICATION SCHEMAS FOR THE INSPIRE BUILDINGS THEME." Acta Polytechnica 56, no. 4 (2016): 291–300. http://dx.doi.org/10.14311/ap.2016.56.0291.

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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.

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Cai, Su Jin. "Research of Data Exchange Model among Information Systems." Applied Mechanics and Materials 608-609 (October 2014): 401–7. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.401.

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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.

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Needleman, Mark H. "XML Schema Language." Serials Review 27, no. 2 (2001): 49–52. http://dx.doi.org/10.1080/00987913.2001.10764661.

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Amano, Shun'ichi, Claire David, Leonid Libkin, and Filip Murlak. "XML Schema Mappings." Journal of the ACM 61, no. 2 (2014): 1–48. http://dx.doi.org/10.1145/2590773.

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Fong, Joseph, San Kuen Cheung, Herbert Shiu, and Chi Chung Cheung. "Visualization of XML conceptual schema recovered from XML schema definition." International Journal of Web Information Systems 1, no. 4 (2005): 209–22. http://dx.doi.org/10.1108/17440080580000094.

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Fong, Joseph, San Kuen Cheung, and Herbert Shiu. "The XML Tree Model – toward an XML conceptual schema reversed from XML Schema Definition." Data & Knowledge Engineering 64, no. 3 (2008): 624–61. http://dx.doi.org/10.1016/j.datak.2007.10.004.

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Yin, Li Feng, Hua Jin, and Hong Tian. "Inference Rules for XML Strong MVD and XML Weak MVD." Advanced Materials Research 268-270 (July 2011): 2009–15. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.2009.

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For solving logical implication problem in the presence of XML strong multi-valued dependency(denoted as XSMVD) and XML weak multi-valued dependency(denoted as XWMVD) under incomplete information circumstances, the inference rules of XSMVD and XWMVD based on XML Schema were discussed. The concepts of XML Schema and incomplete XML document tree according with XML Schema were formalized. Based on the concepts of sub-tree information equivalence and sub-tree information consistent, the definitions of XSMVD and XWMVD were given and their nature was studied. When XSMVD and XWMVD exist at the same time in XML Schema, their inference rules were presented and their soundness was proved. The production in this work lays the foundation for normalization of XML Schema existing XSMVD and XWMVD at the same time under incomplete information circumstances.

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Brahmia, Zouhaier, Fabio Grandi, and Rafik Bouaziz. "Conversion of XML schema design styles with StyleVolution." International Journal of Web Information Systems 16, no. 1 (2019): 23–64. http://dx.doi.org/10.1108/ijwis-05-2019-0022.

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Purpose Any XML schema definition can be organized according to one of the following design styles: “Russian Doll”, “Salami Slice”, “Venetian Blind” and “Garden of Eden” (with the additional “Bologna” style actually representing absence of style). Conversion from a design style to another can facilitate the reuse and exchange of schema specifications encoded using the XML schema language. Without any computer-aided engineering support, style conversions must be performed very carefully as they are difficult and error-prone operations. The purpose of this paper is to efficiently deal with such XML schema design style conversions. Design/methodology/approach A general approach, named StyleVolution, for automatic management of XML schema design style conversions, is proposed. StyleVolution is equipped with a suite of seven procedures: four for converting a valid XML schema from any other design style to the “Garden of Eden” style, which has been chosen as a normalized XML schema format, and three for converting from the “Garden of Eden” style to any of the other desired design styles. Findings Procedures, algorithms and methods for XML schema design style conversions are presented. The feasibility of the approach has been shown through the encoding (using the XQuery language) and the testing (with the Altova XMLSpy 2019 tool) of a suite of seven ready-to-use procedures. Moreover, four test procedures are provided for checking the conformance of a given input XML schema to a schema design style. Originality/value The proposed approach implements a new technique for efficiently managing XML schema design style conversions, which can be used to make any given XML schema file to conform to a desired design style.

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Zheng, Hua Li, Hao Zhong, and Shu Ang Yan. "XML Schema Normalization Design." Applied Mechanics and Materials 58-60 (June 2011): 2345–50. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2345.

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Two kinds of problems in designing XML schema are analyzed and the valid structure and well structure in structural level of XML normalization are defined. A valid-structured XML schema guarantees that it can be instanced, and well-structural XML schema guarantees that all the elements in it are significant. Based on the analysis of element relationship graph, the judgment method of valid structure and well structure is put forward and some theorems are presented.

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Hsu, I.-Ching, Jang Yang Lee, Der-Chen Huang, and Kuan-Yang Lai. "Integrating Semantic Web technologies with XML Schema using role-mapping annotations." Electronic Library 32, no. 2 (2014): 147–69. http://dx.doi.org/10.1108/el-07-2012-0096.

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Purpose – XML Schema is used to define schema of XML documents that have become standards for data exchange in various Web-based information applications. The main problem of XML Schema is that it emphasizes syntax and format rather than semantics and knowledge representation. Hence, even though having the advantage of describing the structure and constraining the contents of XML documents, XML Schema lacks the computer-interpretability to support knowledge representation for existing information systems. The purpose of this study is to propose role-mapping annotations for XML Schema (RMAXS) to integrate Semantic Web with XML Schema, which allows the facilitation interoperability between adjoining layers of the Semantic Web stack. Design/methodology/approach – The XML, XML Schema, ontology, and rule can be completely integrated into a multi-layered intelligent framework (MIF) for XML-based applications in the current web environment. This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations. Findings – The traditional Semantic Web stack has three gaps between adjoining layers. The first gap, between the XML and XML Schema layers can be bridged with an XMLSchema-instance mechanism. The third gap, between the ontology and rule layers can be connected by building rules on top of ontologies. This study proposes RMAXS to couple the second gap, between the XML schema and ontology layers. The proposed multi-layered intelligent framework (MIF) adopts these coupling technologies to facilitate interoperability between adjoining layers. Therefore, the XML, XML Schema, ontology, and rule can be completely integrated into the MIF for intelligent applications in the web environment. Practical implications – To demonstrate the SRMIS applications, this work implements a prototype that helps researchers to find interested papers. Originality/value – This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations. The proposed SRMIS can be applied in various application domains.

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Zainol, Zurinahni, and Bing Wang. "Formal Framework of XML Document Schema Design." International Journal of Information Retrieval Research 2, no. 1 (2012): 21–64. http://dx.doi.org/10.4018/ijirr.2012010103.

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Designing “good” XML documents is a very difficult task for a database designer. Although many theories for XML database design have proposed, none of commercial design tool for XML document design has been developed to assist the XML document designer. In this paper, the authors present a formal framework of XML document design by incorporating a conceptual model of XML schema called Graph-Document Type Definition (G-DTD) with a theory of database normalization. This framework is designed as a blueprint to help the XML database designers to perform the XML document schema design quickly and accurately. The G-DTD is used to describe the structure of XML documents at the schema level. A set of normal forms for G-DTD on the basis of rules proposed by Arenas and Libkin and Lv. et al is used to provide a guideline to a well-designed schema for XML documents. They develop a prototype of XML document schema design using a Z formal specification language. Finally, using a case study, this formal specification is validated to check for correctness and consistency of the specification. Thus, this gives a confidence that the authors’ prototype can be implemented successfully to generate an automatic XML document design.

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Pušnik, Maja, Katja Harej Pulko, Marjan Heričko, Matjaž B. Jurič, and Boštjan Šumak. "Investigation of Developer's Perceptions in XML Schema Development Using Textual and Visual Tool Types." International Journal of Software Engineering and Knowledge Engineering 24, no. 03 (2014): 445–63. http://dx.doi.org/10.1142/s021819401450017x.

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This paper analyses the influence of different tool types (visual or textual) on a developer's perception of efficiency during XML Schema development. We conducted a controlled experiment that focused on discovering which XML Schema development tool type enables better efficiency and also engenders a friendlier environment for developers while developing XML Schemas. The experiment was conducted with 240 participants and divided into two practical parts (visually developing an XML Schema and manually using a mark-up language intelligent textual editor). After the experiment, the participants' opinions were gathered via a web survey. In the survey, a technology acceptance model (TAM) was used as the basis for constructing the measurement items in order to answer the following questions: (1) which tool type is preferred and perceived as better, and (2) which variables influence the user's perceptions and decisions. In this study, we searched for an optimal way of building XML Schemas. The general tendency of most participants was towards a visual tool, suggesting that visual support is perceived as more useful, and can create better results with less effort.

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Huang, Shu Qin. "Scheme of Mapping from XML Document to Relational Database." Applied Mechanics and Materials 241-244 (December 2012): 2732–36. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2732.

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A new algorithm and a mapping scheme between XML document and relational database were presented. The scheme extracted name, type, value and other information from XML document, and then mapped them to relational database. Data from relational database can be restored to XML document. This method avoids information loss in the data transfer process and remains the structural relation between elements. And this mapping scheme does not depend on XML DTD or Schema.

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Dr., Pushpa Suri, and Sharma Divyesh. "SCHEMA BASED STORAGE OF XML DOCUMENTS IN RELATIONAL DATABASES." International Journal on Web Service Computing (IJWSC) 4, no. 2 (2013): 23–28. https://doi.org/10.5281/zenodo.3592307.

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XML (Extensible Mark up language) is emerging as a tool for representing and exchanging data over the internet. When we want to store and query XML data, we can use two approaches either by using native databases or XML enabled databases. In this paper we deal with XML enabled databases. We use relational databases to store XML documents. In this paper we focus on mapping of XML DTD into relations. Mapping needs three steps: 1) Simplify Complex DTD’s 2) Make DTD graph by using simplified DTD’s 3) Generate Relational schema. We present an inlining algorithm for generating relational schemas from available DTD’s. This algorithm also handles recursion in an XML document.

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Ms., Rutu Mohin Patel. "COMPARATIVE STUDY ON DOCUMENT TYPE DEFINITION AND XML SCHEMA DEFINITION." International Journal of Advances in Engineering & Scientific Research 1, no. 7 (2014): 01–04. https://doi.org/10.5281/zenodo.10725251.

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Abstract                   XML was designed to transport and store data, with focus on what data is. DTD is A Document Type Definition (DTD) defines the legal building blocks of an XML document. It defines the document structure with a list of legal elements and attributes. What XML Schema do is provide an Object Oriented approach to defining the format of an XML document. XML Schema provide a set of basic types. This paper compares the XML Document Type Definition and XML Schema.  Key words: XML Document, DTD, HTML

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Hong Quang, Nguyen, and Wenny Rahayu. "XML schema design approach." International Journal of Web Information Systems 1, no. 3 (2005): 161–78. http://dx.doi.org/10.1108/17440080580000091.

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Leela, Krishna P., and Jayant R. Haritsa. "Schema-conscious XML indexing." Information Systems 32, no. 2 (2007): 344–64. http://dx.doi.org/10.1016/j.is.2005.10.002.

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Chin, Swee-Mei, Su-Cheng Haw, and Fang-Fang Chua. "X-CM." International Journal of Information Retrieval Research 4, no. 4 (2014): 17–41. http://dx.doi.org/10.4018/ijirr.2014100102.

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The emergence of XML as the de facto for data exchange in the World Wide Web and the increase popularity of XML in the business application have urge momentum research on way to generate a well-formed XML document to store and maintain it in the databases. Thus, a good schema such as XML schema is undeniable needed in order to define the syntax and structure of the XML instance to ensure data integrity. Nevertheless, schemas serve as logical model rather than conceptual model where semantics of the underlying document are hardly expressed. As such, in this paper, the authors proposed X-CM, a new conceptual modeling for XML as the mechanism to model components of XML conceptually and to express the underlying semantic explicitly. First, the authors reviewed the semantics and structure of conceptual modeling of existing approaches. Then, the authors proposed their X-CM modeling construct and implemented X-CM in a university based scenario. Lastly, the authors summarized the evaluation result and comments provided by the XML database experts and evaluators based on the authors proposed model.

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Janzek-Hawlat, S., S. Sibinovic, G. Duftschmid, and C. Rinner. "Semantic Validation of Standard-based Electronic Health Record Documents with W3C XML Schema." Methods of Information in Medicine 49, no. 03 (2010): 271–80. http://dx.doi.org/10.3414/me09-02-0027.

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Summary Objectives: The goal of this article is to examine whether W3C XML Schema provides a practicable solution for the semantic validation of standard-based electronic health record (EHR) documents. With semantic validation we mean that the EHR documents are checked for conformance with the underlying archetypes and reference model. Methods: We describe an approach that allows XML Schemas to be derived from archetypes based on a specific naming convention. The archetype constraints are augmented with additional components of the reference model within the XML Schema representation. A copy of the EHR document that is transformed according to the before-mentioned naming convention is used for the actual validation against the XML Schema. Results: We tested our approach by semantically validating EHR documents conformant to three different ISO/EN 13606 archetypes respective to three sections of the CDA implementation guide “Continuity of Care Document (CCD)” and an implementation guide for diabetes therapy data. We further developed a tool to automate the different steps of our semantic validation approach. Conclusions: For two particular kinds of archetype prescriptions, individual transformations are required for the corresponding EHR documents. Otherwise, a fully generic validation is possible. In general, we consider W3C XML Schema as a practicable solution for the semantic validation of standard-based EHR documents.

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Amaro, Gonçalo, Filipe Moutinho, Rogério Campos-Rebelo, Julius Köpke, and Pedro Maló. "JSON Schemas with Semantic Annotations Supporting Data Translation." Applied Sciences 11, no. 24 (2021): 11978. http://dx.doi.org/10.3390/app112411978.

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As service-oriented architectures are a solution for large distributed systems, interoperability between these systems, which are often heterogeneous, can be a challenge due to the different syntax and semantics of the exchanged messages or even different data interchange formats. This paper addresses the data interchange format and data interoperability issues between XML-based and JSON-based systems. It proposes novel annotation mechanisms to add semantic annotations and complement date values to JSON Schemas, enabling an interoperability approach for JSON-based systems that, until now, was only possible for XML-based systems. A set of algorithms supporting the translation from JSON Schema to XML Schema, JSON to XML, and XML to JSON is also proposed. These algorithms were implemented in an existing prototype tool, which now supports these systems’ interoperability through semantic compatibility verification and the automatic generation of translators.

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Gou, He Ping, Yong Xia Jing, and Ya Ling Zhu. "Research of Information Integration Based on XML Schema Matching." Applied Mechanics and Materials 568-570 (June 2014): 1581–85. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1581.

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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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Lei, Xiang Xin, Shun Liang Cao, Shao Yin Huang, and Jian Guo Yang. "PTList: Mining XML Data Stream Using Paging Schema." Advanced Materials Research 403-408 (November 2011): 1888–91. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1888.

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Aiming at unlimited growing XML data stream and large XML document, we present PTList, mining frequent subtrees in XML using paging schema. PTList pages XML data stream, manages cross-page nodes and frequent candidate subtrees growing across page, mines frequent subtrees page-by-page, selects frequent subtree according to the page minimum support, and prunes branches based on the decaying factor. PTList mines XML data stream in the limit of the error of support, improves the memory utilization, and speeds up the mining process.

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Roy, J., and A. Ramanujan. "XML schema language: taking XML to the next level." IT Professional 3, no. 2 (2001): 37–40. http://dx.doi.org/10.1109/6294.918217.

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ÜSTÜNKAYA, EKİN, ADNAN YAZICI, and ROY GEORGE. "FUZZY DATA REPRESENTATION AND QUERYING IN XML DATABASE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, supp01 (2007): 43–57. http://dx.doi.org/10.1142/s0218488507004455.

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Real-world information including subjective opinions and judgments need imprecise data to be modeled for representation and querying in databases. The Extensible Markup Language (XML) has become a de-facto standard for data modeling and exchange in recent years. Efforts on modeling imprecision and representing such data in XML have not been fully developed. In this paper, an XML based fuzzy data representation and querying system is presented. Complex and imprecise data are represented using a fuzzy extension of XML. The representation forms the basis for a system which enables fuzzy querying on XML documents using XQuery, a XML query language. The system also enables restructuring of XML Schemas through merging of elements of the XML documents. By using this feature of the system, application specific XML Schema and XML documents can be generated from the existing documents.

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Yang, Kai, Amanda Lo, and Robert Steele. "Ontology mediated XML data translation." International Journal of Web Information Systems 4, no. 2 (2008): 181–97. http://dx.doi.org/10.1108/17440080810882360.

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PurposeThe purpose of this paper is to address problems that exist in the context of XML to ontology translation. Existing research results dealing with XML to ontology translation do not facilitate bidirectional data translation due to the fundamental differences between XML schema and ontologies. This paper proposes a mapping representation ontology for modeling concept mappings defined between XML schema and ontology, enabling data translation without any information loss.Design/methodology/approachA two‐step compensation approach is proposed that aims to prevent the loss of data type, structural and relational information during any single trip data translation. The mapping representation ontology proposed is capable in capturing enough information to compensate the loss of information during translation, hence allowing bidirectional conversions between XML and ontology.FindingsFundamental differences between XML schema and ontology are identified as the main reason causing the loss of information during data translation. A compensation approach that captures a sufficient amount of concept mapping information data translation is found to be successful in enabling lossless data transformation.Practical implicationsOutcomes from this work allow for the seamless data translation between XML documents, it demonstrates how web applications can seamlessly communicate and exchange data with each other without the need to conform to a predefined data standard. This paper aims to enhance interoperability between distributed systems.Originality/valueThis paper presents a mapping ontology that captures concept mappings defined between XML schema and ontology. Two algorithms facilitating the bidirectional XML to ontology translation are also proposed.

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Fan, Wenfei, and Philip Bohannon. "Information preserving XML schema embedding." ACM Transactions on Database Systems 33, no. 1 (2008): 1–44. http://dx.doi.org/10.1145/1331904.1331908.

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Genevès, Pierre, Nabil Layaïda, and Vincent Quint. "Impact of XML Schema Evolution." ACM Transactions on Internet Technology 11, no. 1 (2011): 1–27. http://dx.doi.org/10.1145/1993083.1993087.

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MADRIA, S. "XML schema and data management." Data & Knowledge Engineering 52, no. 2 (2005): 181–83. http://dx.doi.org/10.1016/s0169-023x(04)00097-7.

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Ioannides, Demetrios. "XML schema languages: beyond DTD." Library Hi Tech 18, no. 1 (2000): 9–15. http://dx.doi.org/10.1108/07378830010314366.

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VERGARA-NIEDERMAYR, CRISTOBAL, FUSHENG WANG, TONY PAN, TAHSIN KURC, and JOEL SALTZ. "SEMANTICALLY INTEROPERABLE XML DATA." International Journal of Semantic Computing 07, no. 03 (2013): 237–55. http://dx.doi.org/10.1142/s1793351x13500037.

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XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups.

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FONG, JOSEPH, HERBERT SHIU, and JENNY WONG. "METHODOLOGY FOR DATA CONVERSION FROM XML DOCUMENTS TO RELATIONS USING EXTENSIBLE STYLESHEET LANGUAGE TRANSFORMATION." International Journal of Software Engineering and Knowledge Engineering 19, no. 02 (2009): 249–81. http://dx.doi.org/10.1142/s0218194009004131.

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Extensible Markup Language (XML) has been used for data-transport and data-transformation while the business sector continues to store critical business data in relational databases. Extracting relational data and formatting it into XML documents, and then converting XML documents back to relational structures, becomes a major daily activity. It is important to have an efficient methodology to handle this conversion between XML documents and relational data. This paper aims to perform data conversion from XML documents into relational databases. It proposes a prototype and algorithms for this conversion process. The pre-process is schema translation using an XML schema definition. The proposed approach is based on the needs of an Order Information System to suggest a methodology to gain the benefits provided by XML technology and relational database management systems. The methodology is a stepwise procedure using XML schema definition and Extensible Stylesheet Language Transformations (XSLT) to ensure that the data constraints are not scarified after data conversion. The implementation of the data conversion is performed by decomposing the XML document of a hierarchical tree model into normalized relations interrelated with their artifact primary keys and foreign keys. The transformation process is performed by XSLT. This paper will also demonstrate the entire conversion process through a detailed case study.

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Yang, Jian Bo. "Studies about Storing Distance Learning Technical Specifications XML Binging Documents Use RDBMS." Advanced Materials Research 1079-1080 (December 2014): 812–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.812.

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With the rapid development of internet and information technology, XML has become the important standard for information exchange and denotation 011 the internet, thus that how to manage the XML document in an efficient, systematic and scientific way has become a great challenge in the field of databaseXML regarded as data interchange’s foundation has a lot of advantages，but regard it as the datum store way it has many disadvantages such as no efficient data structure and indexing structure，poor query ability．This paper recommend a new technology for the storage and management of XML dam，including the work that design of data schema，design the interface and implement it with．NET．Direct against the problem that what past XML file is stored and inquired，this paper have introduced the data schema in RDBMS the XML file emphatically, and introduced functions，the inquiry and statistics based on this data schema

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FORMICA, ANNA. "SIMILARITY OF XML-SCHEMA ELEMENTS SUPPORTED BY DOMAIN ONTOLOGIES." International Journal of Software Engineering and Knowledge Engineering 15, no. 01 (2005): 117–30. http://dx.doi.org/10.1142/s0218194005001872.

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XML-Schemas and domain ontologies are two key features of the Semantic Web. The possibility of assessing similarity between concepts is becoming a fundamental support in e-commerce and business transactions. In this paper a method for evaluating similarity of XML-Schema elements is proposed, by making use of domain ontologies. The method is inspired by a previous proposal concerning concept similarity within an enterprise ontology management system developed at IASI.

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A., A. Abd El-Aziz, and Kannan A. "RELATIONAL STORAGE FOR XML RULES." International Journal on Web Service Computing (IJWSC) 3, no. 4 (2019): 33–41. https://doi.org/10.5281/zenodo.3563455.

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Very few research works have been done on XML security over relational databases despite that XML became the de facto standard for the data representation and exchange on the internet and a lot of XML documents are stored in RDBMS. In [14], the author proposed an access control model for schema-based storage of XML documents in relational storage and translating XML access control rules to relational access control rules. However, the proposed algorithms had performance drawbacks. In this paper, we will use the same access control model of [14] and try to overcome the drawbacks of [14] by proposing an efficient technique to store the XML access control rules in a relational storage of XML DTD. The mapping of the XML DTD to relational schema is proposed in [7]. We also propose an algorithm to translate XPath queries to SQL queries based on the mapping algorithm in [7].

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Mok, Wai Yan, Joseph Fong, and Kenneth Wong. "Designing Redundancy-Free XML Schema: A Smallest Closure Approach." International Journal of Cooperative Information Systems 24, no. 04 (2015): 1550005. http://dx.doi.org/10.1142/s0218843015500057.

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XML has too many low-level details that hinder high-level conceptual design. We therefore propose DTD graphs and XSD graphs as a mean for conceptual modeling of XML applications. Similar to document type definitions (DTDs) and XML schema definitions (XSDs), DTD graphs and XSD graphs are trees, and as such they can easily be mapped to DTDs and XSDs for implementation. Unlike DTDs and XSDs, DTD graphs and XSD graphs capture various high-level data semantics such as cardinality, ISA, participation, aggregation, categorization, and n-ary relationship. Furthermore, this paper also presents transformation rules between DTDs and a large class of XML Schemas and an algorithm that inputs users’ requirements and outputs a DTD graph that has a minimum number of redundancy-free fragments. As a result of these good properties, the resulting DTD or XSD facilitates query processing and update.

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Kainz, Ondrej, František Jakab, and Miroslav Michalko. "Validation of XML schema and extraction of human body description format parameters." Open Computer Science 8, no. 1 (2018): 123–34. http://dx.doi.org/10.1515/comp-2018-0011.

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Abstract In this paper, the development of Extensible Markup Language (XML) schema of newly proposed Human body description format (HBDF) is proposed and further, the software and hardware solution for processing and acquiring the anthropometric parameters of the human body is presented. The analysis covers information on the HBDF format and specific measurement procedures that are associated with the format and together form a coherent structure for the recording of such data. The structure of the format itself is implemented as XML schema, determining the content of XML outputs. Experimental software solution is designed and proves valid in the examination of HBDF structure. The experimental hardware is proposed to introduce new approach to measurement using the physical real-world device. Proposed hardware solution also implements HBDF structure. Schema ensures the data coherency and integrity,while the proposed solution ensures the import, operation, and export of data. The XML schema was experimentally tested as a part of multiple research projects.

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Xu, Zhiwu, Ping Lu, and Haiming Chen. "Towards an Effective Syntax and a Generator for Deterministic Standard Regular Expressions." Computer Journal 62, no. 9 (2018): 1322–41. http://dx.doi.org/10.1093/comjnl/bxy110.

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Abstract Deterministic regular expressions are a core part of XML Schema and used in other applications. But unlike regular expressions, deterministic regular expressions do not have a simple syntax, instead they are defined in a semantic manner. Moreover, not every regular expression can be rewritten to an equivalent deterministic regular expression. These properties of deterministic regular expressions put a burden on the user to develop XML Schema Definitions and to use deterministic regular expressions. In this paper, we propose a syntax for deterministic standard regular expressions (DREGs), and prove that the syntax of DREGs is context-free. Based on the context-free grammars for DREGs, we further design a generator for DREGs, which can generate DREGs randomly, and be used in applications associated with DREGs, e.g. benchmarking a validator for DTD or XML Schema, and inclusion checking of DTD and XML Schema. Experimental results demonstrate the efficiency and usefulness of the generator.

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Day, Nick E., Peter Murray-Rust, and Simon M. Tyrrell. "CIFXML: a schema and toolkit for managing CIFs in XML." Journal of Applied Crystallography 44, no. 3 (2011): 628–34. http://dx.doi.org/10.1107/s0021889811011058.

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CIFXML applies the XML strategies and technologies to create a general interface for processing CIF documents that conform to the CIF syntax and DDL1. Both a DTD and an XML schema for CIFs are presented. CIFs can be read, edited, validated syntactically, sorted, normalized, filtered, stored as an XML document object model, transformed and output.CIFXOMprovides an easy way of converting CIFs to XML andvice versausing Java.

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Samavi, Reza, Mariano Consens, Shahan Khatchadourian, and Thodoros Topaloglou. "Exploring PSI-MI XML Collections Using DescribeX." Journal of Integrative Bioinformatics 4, no. 3 (2007): 123–34. http://dx.doi.org/10.1515/jib-2007-70.

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Summary PSI-MI has been endorsed by the protein informatics community as a standard XML data exchange format for protein-protein interaction datasets. While many public databases support the standard, there is a degree of heterogeneity in the way the proposed XML schema is interpreted and instantiated by different data providers. Analysis of schema instantiation in large collections of XML data is a challenging task that is unsupported by existing tools.In this study we use DescribeX, a novel visualization technique of (semi-)structured XML formats, to quantitatively and qualitatively analyze PSI-MI XML collections at the instance level with the goal of gaining insights about schema usage and to study specific questions such as: adequacy of controlled vocabularies, detection of common instance patterns, and evolution of different data collections. Our analysis shows DescribeX enhances understanding the instance-level structure of PSI-MI data sources and is a useful tool for standards designers, software developers, and PSI-MI data providers.

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Qi, Yang, Wang Zhulin, and Wang Hongyun. "Standard Description of Common Element Model Data Type Based On XML Schema." MATEC Web of Conferences 173 (2018): 01038. http://dx.doi.org/10.1051/matecconf/201817301038.

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AI-ESTATE standard uses EXPRESS language to describe its diagnostic knowledge, but EXPRESS is not a programming language, which makes it difficult to implement diagnostics using EXPRESS language description. This makes it difficult to share and reuse diagnostic knowledge; XML language with its good flexibility, readability and extensibility, it has brought great convenience to information exchange. Mapping the EXPRESS language to XML Schema is of great significance for the sharing of diagnostic knowledge. First, the data types of the EXPRESS language and XML Schema are analysed; then, mapping mechanism of the simple data types, aggregate data type, and structural data types to XML data types in EXPRESS are studied separately. Finally, based on the analysis of the AI-ESTATE standard common element model data type, the process of describing the diagnostic knowledge of the common element model using XML Schema standardization is studied, and the diagnostic knowledge can be portable and reused.

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Schweiger, R., J. Dudeck, and S. Hoelzer. "Representation of Practice Guidelines with XML – Modeling with XML Schema." Methods of Information in Medicine 41, no. 04 (2002): 305–12. http://dx.doi.org/10.1055/s-0038-1634387.

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Summary Objectives: Data and information in medicine are mainly represented in slightly structured or even unstructured, narrative text documents. It is nearly impossible to detect and handle relationships between data elements within narrative documents or to retrieve parts of documents that contain specific information. But information access and retrieval are essential to serve the delivery and application of evidence-based medicine. Methods: The eXtensible Markup Language (XML) provides a standard means to explicitly describe a document‘s structure and to identify meaningful elements inside textual narrations. Information about the state-of-the-art medical care can be delivered to the physician by different means and media. Clinical practice guidelines are thought to be one possible solution to summarize and present current medical evidence. Results: The structuring of resources containing medical information with XML can facilitate the provision of problem-specific medical information at the point of care by improving content retrieval and presentation. In our project, the XML Schema is used for the electronic representation in order to structure guidelines (and other text-based resources) in a standardized way. Conclusion: The transition from unstructured textual data towards structured and coded data will be a migration process. One of the premises of our approach is that the structure that is defined by the information model doesn‘t restrict the content of the documents. This approach may fill the gap between computerized, algorithmic guideline recommendations and text-based guideline distributions.

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Liu, Mengchi. "DTD schema: a simple but powerful XML schema language." International Journal of Web Information Systems 4, no. 4 (2008): 465–83. http://dx.doi.org/10.1108/17440080810919495.

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Kumar, R. Senthil, R. PriyaVaijayanthi, and K. Prakasan. "Towards converting a production database schema to XML schema." International Journal of Computer Aided Engineering and Technology 1, no. 3 (2009): 338. http://dx.doi.org/10.1504/ijcaet.2009.026978.

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Liu, Chengfei, Millist W. Vincent, and Jixue Liu. "Constraint Preserving Transformation from Relational Schema to XML Schema." World Wide Web 9, no. 1 (2005): 93–110. http://dx.doi.org/10.1007/s11280-005-4263-5.

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Journal articles on the topic 'XML schema'

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