• Title/Summary/Keyword: XML 데이타베이스

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A Queriable XML Compression using Inferred Data Types (추론한 데이타 타입을 이용한 질의 가능 XML 압축)

  • ;;Chung Chin-Wan
    • Journal of KIISE:Databases
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    • v.32 no.4
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    • pp.441-451
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    • 2005
  • HTML is mostly stored in native file systems instead of specialized repositories such as a database. Like HTML, XML, the standard for the exchange and the representation of data in the Internet, is mostly resident on native file systems. However. since XML data is irregular and verbose, the disk space and the network bandwidth are wasted compared to those of regularly structured data. To overcome this inefficiency of XML data, the research on the compression of XML data has been conducted. Among recently proposed XML compression techniques, some techniques do not support querying compressed data, while other techniques which support querying compressed data blindly encode data values using predefined encoding methods without considering the types of data values which necessitates partial decompression for processing range queries. As a result, the query performance on compressed XML data is degraded. Thus, this research proposes an XML compression technique which supports direct and efficient evaluations of queries on compressed XML data. This XML compression technique adopts an encoding method, called dictionary encoding, to encode each tag of XML data and applies proper encoding methods for encoding data values according to the inferred types of data values. Also, through the implementation and the performance evaluation of the XML compression technique proposed in this research, it is shown that the implemented XML compressor efficiently compresses real-life XML data lets and achieves significant improvements on query performance for compressed XML data.

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.

An Index Method for Wireless XML Streams (무선 XML 스트림을 위한 색인 기법)

  • Chung, Yon-Dohn;Lee, Ji-Yeon
    • Journal of KIISE:Databases
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    • v.32 no.4
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    • pp.416-428
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    • 2005
  • In the paper we propose an index method for XML streaming services, where a server broadcasts XML data to a lot of clients in wireless information systems. In order to control the access and tuning time of mobile clients, the proposed method constructs the XML stream through replicating partial index intermixed with parts of data. For this purpose, we propose a two-level tree structure for separating index and XML data into two parts: replicated vs. non-replicated. We analyze the performance of the proposed method with respect to access time and tuning time. With the analysis result, we derive the optimal level value.

Design of Content-based Image Database Using XML (XML을 이용한 내용기반 이미지 데이타베이스의 설계)

  • 박선영;용환승
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10a
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    • pp.90-92
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    • 1999
  • 내용기반 이미지 검색을 하기 위해서는 이미지에 대한 메타데이타(metadata)가 필요하며, 이러한 메타데이타 간에는 상호연관성이 존재한다. XML(eXtensible Markup Language)은 메타데이타의 상호연관성을 표현하기에 적절하므로 본 논문에서는 이미지 메타데이타를 구조화하기 위한 방법으로 XML을 사용하였다. 또한 이미지는 객체의 시간적인 특징과 함께 이미지 전체가 내포하는 서술적인 의미도 갖는다. 이러한 이미지의 특성에 따라 메타데이타도 객체의 시각적 특징을 중심으로 한 구조 설계와 의미 중심의 구조 설계로 구분하여 XML 구조를 모델링 하였다. 마지막으로 구조화된 모델들 간의 객체 지향 특성을 이용하여 XML DBMS에 통합하고, 이를 XQL(XML Query Language)에 의하여 질의 해 냄으로서 검색 구간에 제약을 가하고 이를 통하여 더욱 효과적인 검색을 지원하도록 한다.

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Energy-efficient Broadcasting of XML Data in Mobile Computing Environments (이동 컴퓨팅 환경에서 XML 데이타의 에너지 효율적인 방송)

  • Kim Chung Soo;Park Chang-Sup;Chung Yon Dohn
    • Journal of KIISE:Databases
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    • v.33 no.1
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    • pp.117-128
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    • 2006
  • In this paper, we propose a streaming method for XML data that supports energy-efficient processing of queries over the stream in mobile clients. We propose new stream organizations for XML data which have different kinds of addresses to related data in a stream. We describe event-driven stream generation algorithms for the proposed stream structures and provide search algorithms for simple XML path queries which leverage the access mechanisms incorporated in the stream. Experimental results show that our approaches can effectively improve the tuning time performance of user queries in a wireless broadcasting environment.

An XML-QL to SQL Translator for Processing XML Data (XML 데이타 처리를 위한 XML-QL to SQL 번역기)

  • Jang, Gyeong-Ja;Lee, Gi-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.1
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    • pp.1-8
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    • 2002
  • XML has been proposed as an international standard for organizing and exchanging a great diversity of the Web data. It is important to retrieve components of stored XML documents that are needed by a wide variety of applications. In this paper, we suggest a method to store XML documents and to retrieve an XML data. In other words, we suggest the method of retrieving XML data is using XML -QL. So we need to mapping XML-QL to SQL translator on top of an RDBMS. The contributions of this paper include, besides the detailed design and implementation of the translator, demonstration of feasibility of such a translator, and a comprehensive classification of XML queries and their mappings to SQL relational queries.

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.

XML 과 데이타베이스

  • 박상원;정재목;정태선;김형주
    • Communications of the Korean Institute of Information Scientists and Engineers
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    • v.19 no.1
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    • pp.24-30
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    • 2001
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Genealogy-based Indexing Technique for XML Documents (XML문서를 위한 족보 기반 인덱싱 기법)

  • 이월영;용환승
    • Journal of KIISE:Databases
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    • v.31 no.1
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    • pp.72-81
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    • 2004
  • Theses days, a number of data over the Internet are represented using XML because of a virtue of XML. In proportion to the increase of XML data, query processing techniques are required that support quickly and efficiently the diverse queries to search the useful information on XML documents. But, up to now, the researches handling queries for XML data are methodologies focusing on how to process regular path expressions. Therefore, we have developed a new genealogy-based indexing technique to solve various queries such as not only regular path expression but also simple path expression, path expression referencing other elements, and so on. Also, we have applied this technique on object-relational model and evaluated the performance for many documents and various query types. The result shows improved performance in comparison with the other storage techniques.

An Efficient Disk Block Allocation Method for XML Data (XML 데이타를 위한 효율적인 디스크 블록 할당 방법)

  • Kim, Jung-Hoon;Son, Jin-Hyun;Chung, Yon-Dohn;Kim, Myoung-Ho
    • Journal of KIISE:Databases
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    • v.34 no.5
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    • pp.465-472
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    • 2007
  • With the recent proliferation of the use of semi-structured data such as XML, it becomes more important to efficiently store and manage the semi-structured data. The XML data can be logically modelled as a rooted tree e.g., the DOM tree. In order to process a query on the XML data, we traverse the tree structure. In this paper we present an algorithm that places the XML data to disk blocks. The proposed algorithm assigns a number to each node of the tree in a bottom-up fashion. Then, the nodes are allocated to disk blocks using the assigned number. The proposed algorithm does not need access pattern information, and provides good performance for any access pattern. The characteristics of the proposed method are presented with analysis. Through experiments, we evaluate the performance of the proposed method.