• Title/Summary/Keyword: Storage Schema

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Development of Storage Techniques for PDTnet XML Schema Data (PDTnet XML Schema 데이터를 위한 저장 기법 개발)

  • Lee, Kyoung-Hye;Yong, Hwan-Seung;Lee, Wol-Young
    • Journal of Korea Multimedia Society
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    • v.9 no.8
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    • pp.939-949
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    • 2006
  • With the development of industry, product data management system is becoming more and more important. An expanded view of product definition function that include a bill of material and routing database, current and historical engineering data and specifications and engineering changes order history. PDM (Product Data Management) systems hold and manage such material as product specifications, plans, geometric models, CAD drawings and images. Furthermore, PDM enables companies producing complex products to spread product data in to the entire launch process. Especially, PDTnet XML Schema is an international standard for exchanging of PDM data. But PDTnet XML Schema differs from existing XML Schema in the way that its property of IDREF/IDREFS is irregular. Therefore it is important factor that. what do we use storage devices and storage techniques. We developed storage techniques and application supporting various query types and preserving PDTnet XML Schema using a relational database that guaranteeing the performance nowadays. In this paper, we will show that our storage techniques minimize repeated data and optimize query processing by using application comparison with storage techniques of existing XML Schema data.

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Design and Implementation of Storage Schema and Low-level Storage Manager for GML Documents (GML 문서 저장을 위한 저장 스키마 및 하부 저장 관리자의 설계 및 구현)

  • Chang, Jae-Woo;Kim, Young-Guk;Kim, Young-Jin
    • The KIPS Transactions:PartD
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    • v.14D no.6
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    • pp.623-632
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    • 2007
  • GML is a markup language presented as exchange standard for geographic information by the OGC(Open GIS Consortium). In spatial network databases, researches for supporting GML(Geographic Markup Language) can be divided into the parsing, the storing and the retrieval of GML documents. Among them, the study on the storage of GML documents is essential for their efficient retrieval. However there is little research on the storing of GML documents whereas there have been a lot of researches on the storing of n documents. Because the storage schema designed for XML documents are not appropriate for geographic information, we, in this paper, propose three storage schema for efficiently storing GML documents including geographic information in order to solve the problem that the XML storage schema store duplicate data and need to search many tables for obtaining elements. In addition, we design and implement a low-level storage manager which can store GML documents using the proposed GML storage schema.

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.

RDB Schema Model of XML Document for Storage Capacity and Searching Efficiency (저장 공간과 검색 효율을 위한 XML 문서의 RDB 스키마 모델)

  • Kim Jeong-Hee;Kwak Ho-Young;Kwon Hoon
    • The Journal of the Korea Contents Association
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    • v.6 no.4
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    • pp.19-28
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    • 2006
  • XML instances for purpose of information exchange are normally stored in the legacy relational database. Therefore, integrations with relational database are required for effective XML applications. To support these requirements, virtual decomposition storage or decomposition storage methods which save separates structures of instances to relational database have researched. However, these storage methods contain different information of schema structure and layers which has caused difficulties to process query during search operation as well as increased overheads due to duplicate savings for separate storages. Therefore, in this research, additional field of 'Eltype' has introduced to previous database schema structure to instance and schema structure, provide consistent level information and propose storage structure to map each field to schema field of relational database. As results, XML instance and structures can be stored together to minimize overheads and required storage-space. Also, synchronized storage layer structure provides easier processing of search query.

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An Efficient Storage Schema Construction and Retrieval Technique for Querying OWL Data (OWL 데이타 검색을 위한 효율적인 저장 스키마 구축 및 질의 처리 기법)

  • Woo, Eun-Mii;Park, Myung-Jae;Chung, Chin-Wan
    • Journal of KIISE:Databases
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    • v.34 no.3
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    • pp.206-216
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    • 2007
  • With respect to the Semantic Web proposed to overcome the limitation of the Web, OWL has been recommended as the ontology language used to give a well-defined meaning to diverse data. OWL is the representative ontology language suggested by W3C. An efficient retrieval of OWL data requires a well-constructed storage schema. In this paper, we propose a storage schema construction technique which supports more efficient query processing. A retrieval technique corresponding to the proposed storage schema is also introduced. OWL data includes inheritance information of classes and properties. When OWL data is extracted, hierarchy information should be considered. For this reason, an additional XML document is created to preserve hierarchy information and stored in an XML database system. An existing numbering scheme is utilized to extract ancestor/descendent relationships, and order information of nodes is added as attribute values of elements in an XML document. Thus, it is possible to retrieve subclasses and subproperties fast and easily. The improved query performance from experiments shows the effectiveness of the proposed storage schema construction and retrieval method.

Design of Relational Storage Schema and Query Processing for Semantic Web Documents (시맨틱 웹 문서를 위한 관계형 저장 스키마 설계 및 질의 처리 기법)

  • Lee, Soon-Mi
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.1
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    • pp.35-45
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    • 2009
  • According to the widespread use of ontology documents, a management system which store ontology data and process queries is needed for retrieving semantic information efficiently. In this paper I propose a storage schema that stores and retrieves semantic web documents based on RDF/RDFS ontology language developed by W3C in a relational databases. Specially, the proposed storage schema is designed to retrieve efficiently hierarchy information and to increase efficiency of query processing. Also, I describe a mechanism to transform RQL semantic queries to SQL relational queries and build up database using MS-ACCESS and implement in this paper. According to the result of implementation, we can blow that not only data query based on triple model but also query for schema and hierarchy information are transformed simply to SQL.

The Conversion Scheme of GML Document into Spatial Database using the Directed Schema Graph Mapping Rules (방향성 스키마 그래프 매핑 규칙을 이용한 GML 문서의 공간 데이터베이스 변환 기법)

  • Chung, Warn-Ill;Park, Soon-Young;Bae, Hae-Young
    • Journal of Korea Spatial Information System Society
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    • v.7 no.1 s.13
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    • pp.39-52
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    • 2005
  • GML (Geography Markup Language) has become the widely adopted standard for transport and storage of geographic information. So, various researches such as modeling, storage, query, and etc have been studied to provide the interoperability of geographic information in web environments. Especially, there are increased needs to store semi-structured data such as GML documents efficiently. Therefore, in this paper, we design and implement a GML repository to store GML documents on the basis of GML schema using spatial database system. GML Schema is converted into directed GML schema graph and the schema mapping technique from directed schema graph to spatial schema is presented. Also, we define the conversion rules on spatial schema to preserve the constraints of GML schema. GML repository using spatial database system is useful to provide the interoperability of geographic information and to store and manage enormous GML documents.

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Design of A Storage Model for Preserving XML Schema Validation (유효성이 유지되는 XML Schema 의 저장 모델 설계)

  • Tark, Sung-Su;Lee, Eun-Bae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.7-10
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    • 2005
  • 본 논문에서는 관계형 데이터베이스를 이용하여 XML Schema 문서를 저장 및 갱신 시 유효성이 유지되는 저장 모델을 설계하였다. 기존의 XML Schema 저장 모델은 갱신 시 유효성 검증을 위해 XML Schema 를 파일로 추출하여 변경한 후 XML Parser 를 이용하는 복잡한 과정을 필요로 한다. 이 논문에서 설계한 모델은 슈퍼타입 서브타입을 이용한 모델링과 관계형 데이터베이스에서 제공 하는 참조 키, NOT NULL, Default, Check(Rule), Trigger 등의 제약 조건을 사용하므로 다른 응용 프로그램의 의존 없이 저장 및 갱신 데이터의 유효성을 간단하게 검증할 수 있다. 그러므로 이 저장 모델을 이용하면 XML Schema 문서가 데이터베이스에 저장이 되어 있는 그 자체로 유효한 스키 마임을 보장할 수 있어 저장 및 갱신의 효율을 높일 수 있는 장점이 있다. 본 논문에서 설계한 저장 모델은 상용 관계데이터베이스인 SQL 서버 2000 에 적용하여 테이블과 제약조건을 설정한 후 데이터 갱신과정을 실험하였으며, 실험결과 XML Schema의 작성규칙에 위배되는 변경 시도는 설정한 제약조건에 의해 사전 방지되어 데이터의 유효성이 유지됨을 확인하였다.

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Change Detection and Management Scheme of OWL Documents (OWL 문서의 변경 탐지 및 관리 기법)

  • Kim, Youn-Hee;Kim, Jee-Hyun
    • Journal of Digital Contents Society
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    • v.13 no.1
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    • pp.43-52
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    • 2012
  • For accurate search on information resources, it is needed to manage gradual changes in ontology efficiently. Recently, because ontology is often written using OWL, techniques that can manage changes in OWL documents are required. To meet these needs, in this paper, we classify changeable elements to detect changes in OWL ontology and propose a storage schema that can manage the changes according to the characteristics of each element. And we suggest the possibility of improving performance of query processing using views that provide information about classes or properties in each ontology version. The proposed storage schema stores changes in metadata associated with each ontology version. In addition, it can manage metadata that must be added or deleted through reasoning when ontology changes. So, the proposed storage schema can support queries about history of changes in ontology and provide accurate and valid metadata that is suitable for user-selected ontology version.

An XML Data Management System Using an Object-Relational Database

  • Nam, S.H.;Jung, T.S.;Kim, T.K.;Kim, K.R.;Zahng, H.K.;Yoo, J.S.;Cho, W.S.
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2007.02a
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    • pp.163-167
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    • 2007
  • We propose an XML document storage system, called XDMS (XML Document Management System), by using an object-relational DBMS. XDMS generates object database schema from XML Schema and stores the XML documents in an object-relational database. SAX parser is used for understanding the structure of the XML documents, and XDMS transforms the documents into objects in the database. Experiment shows that object-relational databases provide more efficient storage and query model compared with relational databases.

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