• Title/Summary/Keyword: Data Schema

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An Efficient Validation Method for XML Data Updates (XML 데이타 갱신에 대한 효율적인 유효 검증 기법)

  • Lee, Ji-Hyun;Park, Myung-Jae;Chung, Chin-Wan
    • Journal of KIISE:Databases
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    • v.34 no.2
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    • pp.153-165
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    • 2007
  • XML is widely used in various applications as the standard for representing and exchanging data on the Web. XML Schema is the standard schema for XML and an XML document generated based on the XML Schema is called 'Valid XML document'. The XML Schema validity should be guaranteed after the XML document is updated. In this paper, we design an efficient method that verifies XML Schema validity before update, and so eliminates unnecessary validations. Also, we propose validation algorithms for each update. In addition, we propose the mapping between XML data and XML Schema and a storage method for XML Schema in order to efficiently extract the schema information for the validation. Finally, we compare the performance of the validation according to the storage methods.

Schema Class Inheritance Model for Research Data Management and Search (연구데이터 관리 및 검색을 위한 스키마 클래스 상속 모델)

  • Kim, Suntae
    • Journal of the Korean Society for information Management
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    • v.31 no.2
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    • pp.41-56
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    • 2014
  • The necessity of the raw data management and reuse is issued by diffusion of the recognition that research data is a national asset. In this paper, a metadata design model by schema class inheritance and a metadata integrated search model by schema objects are suggested for a structural management of the data. A data architecture in which an schema object has an 1 : 1 relation to the data collection was designed. A suggested model was testified by creation of a virtual schema class and objects which inherit the schema class. It showed the possibility of implement systematically. A suggested model can be used to manage the data which are produced by government agencies because schema inheritance and integrated search model present way to overcome the weak points of the 'Top-dow Hierarchy model' which is being used to design the metadata schema.

A Database Schema Integration Method Using XML Schema (XML Schema를 이용한 이질의 데이터베이스 스키마 통합)

  • 박우창
    • Journal of Internet Computing and Services
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    • v.3 no.2
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    • pp.39-56
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    • 2002
  • In distributed computing environments, there are many database applications that should share data each other such as data warehousing and data mining with autonomy on local databases. The first step to such applications is the integration of heterogeneous database schema, but there is no accepted common data model for the integration and also are difficulties on the construction of integration program. In this paper, we use the XML Schema for the representation of common data model and exploit XSLT for reducing the programming difficulties. We define the schema integration operations and develop a methodology for the semi-automatic schema integration according to schema conflicts types. Our integration method has benefits on standardization, extendibility on schema integration process comparing to existing methodologies.

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Research on Regional Smart Farm Data Linkage and Service Utilization (지역 스마트팜 데이터 연계 및 서비스 활용에 대한 연구)

  • Won-Goo Lee;Hyun Jung Koo;Cheol-Joo Chae
    • Journal of Practical Agriculture & Fisheries Research
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    • v.26 no.2
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    • pp.14-24
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    • 2024
  • To enhance the usability of smart agriculture, methods for utilizing smart farm data are required. Therefore, this study proposes a scheme for utilizing regional smart farm data by linking it to services. The current status of domestic and foreign smart farm data collection and linkage services is analyzed. To collect and link regional smart farm data, necessary data collection, data cleaning, data storage structure and schema, and data storage and linkage systems are proposed. Based on the standards currently being implemented for regional smart farm internal data storage, a farm schema, environmental information schema, facility control information schema, and growth information schema are designed by extending the crop schema and crop main environmental factor information database schema. A data collection and management system structure based on the Hadoop Ecosystem is designed for data collection and management at regional smart farm data centers. Strategies are proposed for utilizing regional smart farm data to provide smart farm productivity improvement and revenue optimization services, image-based crop analysis services, and virtual reality-based smart farm simulation services.

Formal Models and Algorithms for XML Data Interoperability

  • Lee, Thomas Y.;Cheung, David W.
    • Journal of Computing Science and Engineering
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    • v.4 no.4
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    • pp.313-349
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    • 2010
  • In this paper, we study the data interoperability problem of web services in terms of XML schema compatibility. When Web Service A sends XML messages to Web Service B, A is interoperable with B if B can accept all messages from A. That is, the XML schema R for B to receive XML instances must be compatible with the XML schema S for A to send XML instances, Le., A is a subschema of B. We propose a formal model called Schema Automaton (SA) to model W3C XML Schema (XSD) and develop several algorithms to perform different XML schema computations. The computations include schema minimization, schema equivalence testing, subschema testing, and subschema extraction. We have conducted experiments on an e-commerce standard XSD called xCBL to demonstrate the practicality of our algorithms. One experiment has refuted the claim that the xCBL 3.5 XSD is backward compatible with the xCBL 3.0 XSD. Another experiment has shown that the xCBL XSDs can be effectively trimmed into small subschemas for specific applications, which has significantly reduced the schema processing time.

An Efficient Transformation Technique from Relational Schema to Redundancy Free XML Schema (관계형 스키마로부터 중복성이 없는 XML 스키마로의 효율적인 변환 기법)

  • Cho, Jung-Gil
    • Journal of Internet Computing and Services
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    • v.11 no.6
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    • pp.123-133
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    • 2010
  • XML has been become the new standard for publishing and exchanging data on the Web. However, most business data is still stored and maintained in relational database management systems. As such, there is an increasing need to efficiently publish relational data as XML data for Internet-based applications. The most important issue in the transformation is to reflect structural and semantic relations of RDB to XML schema exactly. Most transformation approaches have been done to resolve the issue, but those methods have several problems. In this paper, we discuss algorithm in transforming a relational database schema into corresponding XML schema in XML Schema. We aim to achieve not only explicit/implicit referential integrity relation information but also high level of nested structure while introducing no data redundancy for the transformed XML schema. To achieve these goals, we propose a transformation model which is redundancy free and then we improve the XML Schema structure by exploring more nested structure.

Technique for extracting reusable XML Schema from schema-less XML Documents (스키마가 없는 XML 문서에서의 재사용 가능한 XML Schema 추출 기법)

  • Cho, Jung-Gil;Koo, Yeon-Seol
    • The KIPS Transactions:PartD
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    • v.10D no.4
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    • pp.603-612
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    • 2003
  • According to development of Web, an amount of XML documents has been increasing. So, many researches are proceeding to verify XML data coming from clients and to store or query efficiently database. In order to verify, store and query, DTD or XML Schema of XML documents is necessary. However, Schemaless XML documents couldn't be operated since they do not have either DTD or in Schema. In this paper, we extract XML schema in order to verify XML data and store or query efficiently database from either well-formed XML or XML Schemaless documents. XML Schema extracting technique which is proposed in this paper extract Schema graph using simulation and dataguide that is a extracting technique for semistructured characteristics of XML data. Also, we propose extracting technique for XML Schema using pattern tables that are considerated with Schema graph and reusability.

An XML Schema-based Semantic Data Integration (XML Schema기반 시맨틱 데이타 통합)

  • Kim Dong-Kwang;Jeong Karp-Joo;Shin Hyo-Seop;Hwang Sun-Tae
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.9
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    • pp.563-573
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    • 2006
  • Cyber-infrastructures for scientific and engineering applications require integrating heterogeneous legacy data in different formats and from various domains. Such data integration raises challenging issues: (1) Support for multiple independently-managed schemas, (2) Ease of schema evolution, and (3) Simple schema mappings. In order to address these issues, we propose a novel approach to semantic integration of scientific data which uses XML schemas and RDF-based schema mappings. In this approach, XML schema al-lows scientists to manage data models intuitively and to use commodity XML DBMS tools. A simple RDF-based ontological representation scheme is used for only structural relations among independently-managed XML schemas from different institutes or domains We present the design and implementation of a prototype system developed for the national cyber-environments for civil engi-neering research activities in Korea (similar to the NEES project in USA) which is called KOCEDgrid (http://www.koced.net).

Application Program Independent Schema Evolution in Relational Databases (관계형 데이타베이스를 위한 응용 프로그램 독립적인 스키마 진화)

  • 나영국
    • Journal of KIISE:Databases
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    • v.31 no.5
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    • pp.445-456
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    • 2004
  • The database schema is assumed to be stable enough to remain valid even as the modeled environment changes. However, in practice. data models are not nearly as stable as commonly assumed by the database designers. Even though a rich set of schema change operations is provided in current database systems, the users suffer from the problem that schema change usually impacts existing application programs that have been written against the schema. In this paper, we are exploring the possible solutions to overcome this problem of impacts on the application programs. We believe that for continued support of the existing programs on the old schema, the old schema should continue to allow updates and queries, as before. Furthermore, its associated data has to be kept up-to-date. We call this the program independency property of schema change tools. For this property. we devise so-called program independency schema evolution (PISE) methodology. For each of the set of schema change operations in the relational schemas, the sketch of the additional algorithms due to the PISE compliance is presented in order to prove the comprehensiveness and soundness of our PISE methodology.

ER2XML: An Implementation of XML Schema Generator based on the Entity-Relationship Model (ER2XML :개체-관계 모델을 기반으로한 XML Schema 생성기의 구현)

  • Kim Chang Suk;Son Dong-Cheul
    • The KIPS Transactions:PartD
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    • v.12D no.1 s.97
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    • pp.1-12
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    • 2005
  • The XML is emerging as standard language for data exchange on the Web. Therefore a demand of XML Schema(W3C MLL Schema Spec.) that verifies XML document becomes increasing. However, XML Schema has a weak point for design because of its complication despiteof various data and abundant expressiveness. This paper shows a simple way of design for XML Schema using a fundamental means for database design, the Entity-Relationship model. The conversion from the Entity-Relationship model to XML Schema can not be directly on account of discordance between the two models. So we present some algorithms to generate XML Schema from the Entity-Relationship model. The algorithms produce XML Schema codes using a hierarchical view representation. An important objective of this automatic generation is to preserve XML Schema's characteristics such as reusability, global and local ability, ability of expansion and various type changes.