• Title/Summary/Keyword: XML Data

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Interoperable XML Messaging System for Tactical Data Link (전술데이터링크 상호운용을 위한 XML 기반 메시징 시스템)

  • Kim, Hong-Jae;Oh, Sang-Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.3
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    • pp.75-87
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    • 2011
  • Tactical Data Links are standardized radio communication data links for military armed forces and used to transmit and receive data. Because they are the core elements of achieving information superiority in a NCW environment, various kinds of TDL are used by the Korean armed forces. Operating various types of TDL is very helpful in getting more information; however, at the same time, it is hard to integrate and make them co-operate with other TDLs or C4ISR systems. In this paper, we propose a XML based messaging system to make various types of TDL interoperable in a NCW environment. For the messaging system between TDL and C4ISR systems, we define XML message processing interfaces and suggest binary XML for serialization to save transmission loads over constrained military communication bandwidth. Our experiment results show that the TDL message can be transformed into generalized XML data that is interoperable with other TDLs and binary XML serialization, and it saves parsing and transmission time.

XML Vicw Indexing (XML 뷰 인덱싱)

  • 김영성;강현철
    • Journal of KIISE:Databases
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    • v.30 no.3
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    • pp.252-272
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    • 2003
  • The view mechanism provides users with appropriate portions of database through data filtering and integration. In the Web era where information proliferates, the view concept is also useful for XML, a future standard for data exchange on the Web. This paper proposes a method of implementing XML views called XML view indexing, whereby XML view xv is represented as an XML view index(XVI) which is a structure containing the identifiers of xv's underlying XML elements as well as the information on xv. Since XVI for xv stores just the identifiers of the XML elements but not the elements themselves, when a user requests to retrieve xv, its XVI should be materialized against xv's underlying XML documents. Also an efficient algorithm to incrementally maintain consistency of XVI given a update of xv's underlying XML documents is required. This paper proposes and implements data structures and algorithms for XML view indexing. The performance experiments on XML view indexing reveal that it outperforms view recomputation for repeated accesses to the view, and requires as much as about 30 times less storage space compared to XML view materialization though the latter takes less time for repeated accesses to the view due to no need of materialization.

An Extensible Index for XML Containment Queries (XML 포함질의를 위한 확장형 인덱스)

  • Lee, Sang-Won
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.317-324
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    • 2004
  • Containment queries for XML documents is one of the most important query types, and thus the efficient support for this type of query is crucial for XML databases. Recently, object-relational database management system (ORDBMS) vendors try to store and retrieve XML data in their products. In this paper, we propose an extensible index to support containment queries over the XML data stored as BLOB type in ORDBMSs. That is, we describe how to implement the index using the extensibility feature of an ORDBMS, and describe its usage.

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.

XML-based Modeling for Semantic Retrieval of Syslog Data (Syslog 데이터의 의미론적 검색을 위한 XML 기반의 모델링)

  • Lee Seok-Joon;Shin Dong-Cheon;Park Sei-Kwon
    • The KIPS Transactions:PartD
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    • v.13D no.2 s.105
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    • pp.147-156
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    • 2006
  • Event logging plays increasingly an important role in system and network management, and syslog is a de-facto standard for logging system events. However, due to the semi-structured features of Common Log Format data most studies on log analysis focus on the frequent patterns. The extensible Markup Language can provide a nice representation scheme for structure and search of formatted data found in syslog messages. However, previous XML-formatted schemes and applications for system logging are not suitable for semantic approach such as ranking based search or similarity measurement for log data. In this paper, based on ranked keyword search techniques over XML document, we propose an XML tree structure through a new data modeling approach for syslog data. Finally, we show suitability of proposed structure for semantic retrieval.

Common XML Structure Extracting Algorithm for Applying Data Mining Techniques (데이터마이닝 기법 적용을 위한 공용 XML 구조 추출 알고리즘)

  • Jang, Min-Seok;Bang, Hyun-Jin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1072-1076
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    • 2005
  • Importance of XML as a target of Data Mining is growing because XML is used generally as a standard markup language for describing structured data. Especially researches have been done about extracting wanted informations by applying association rules to XML documents. But there are few development about solving the problems of method for efficiently obtaining informations from similar kinds of XML documents. To solve the problem this paper tries to suggest the method by which common XML structure is extracted form the same kinds of XML documents having a various XML schemas. The resulted schema structure is supposed to be important one as a preliminary job because it helps us to acquire the useful informations from various kinds of documents by unifying their structures.

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지구물리 자료에 대한 XML 기술의 적용

  • O, Seok-Hun;Lee, Deok-Gi;Nam, Jae-Cheol;Yang, Jun-Mo
    • Journal of the Korean Geophysical Society
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    • v.4 no.2
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    • pp.133-142
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    • 2001
  • The rapid expansion of Internet foundation made it possible to handle various data and information with ease and swift. The HTML is widely used in this circumstace to transfer information via Internet. Howeverm the HTML has limit to describe all aspect of data and information, and the XML is proposed for the replacement. The XML is Internet language that supplies more diverse methods to classify and describe the contents. In this stuydy, some advantages to process geophysical data by XML is descussed and teleseismic data recorded in KMA were gransformed to the XML information.

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A Query Processing Technique for XML Fragment Stream using XML Labeling (XML 레이블링을 이용한 XML 조각 스트림에 대한 질의 처리 기법)

  • Lee, Sang-Wook;Kim, Jin;Kang, Hyun-Chul
    • Journal of KIISE:Databases
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    • v.35 no.1
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    • pp.67-83
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    • 2008
  • In order to realize ubiquitous computing, it is essential to efficiently use the resources and the computing power of mobile devices. Among others, memory efficiency, energy efficiency, and processing efficiency are required in executing the softwares embedded in mobile devices. In this paper, query processing over XML data in a mobile device where resources are limited is addressed. In a device with limited amount of memory, the techniques of XML. stream query processing need to be employed to process queries over a large volume of XML data Recently, a technique Galled XFrag was proposed whereby XML data is fragmented with the hole-filler model and streamed in fragments for processing. With XFrag, query processing is possible in the mobile device with limited memory without reconstructing the XML data out of its fragment stream. With the hole-filler model, however, memory efficiency is not high because the additional information on holes and fillers needs to be stored. In this paper, we propose a new technique called XFLab whereby XML data is fragmented with the XML labeling scheme which is for representing the structural relationship in XML data, and streamed in fragments for processing. Through implementation and experiments, XML showed that our XFLab outperformed XFrag both in memory usage and processing time.

Semi-Automatic Ontology Generation about XML Documents using Data Mining Method (데이터 마이닝 기법을 이용한 XML 문서의 온톨로지 반자동 생성)

  • Gu Mi-Sug;Hwang Jeong-Hee;Ryu Keun-Ho;Hong Jang-Eui
    • The KIPS Transactions:PartD
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    • v.13D no.3 s.106
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    • pp.299-308
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    • 2006
  • As recently XML is becoming the standard of exchanging web documents and public documentations, XML data are increasing in many areas. To retrieve the information about XML documents efficiently, the semantic web based on the ontology is appearing. The existing ontology has been constructed manually and it was time and cost consuming. Therefore in this paper, we propose the semi-automatic ontology generation technique using the data mining technique, the association rules. The proposed method solves what type and how many conceptual relationships and determines the ontology domain level for the automatic ontology generation, using the data mining algorithm. Appying the association rules to the XML documents, we intend to find out the conceptual relationships to construct the ontology, finding the frequent patterns of XML tags in the XML documents. Using the conceptual ontology domain level extracted from the data mining, we implemented the semantic web based on the ontology by XML Topic Maps (XTM) and the topic map engine, TM4J.

On supporting full-text retrievals in XML query

  • Hong, Dong-Kweon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.4
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    • pp.274-278
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    • 2007
  • As XML becomes the standard of digital data exchange format we need to manage a lot of XML data effectively. Unlike tables in relational model XML documents are not structural. That makes it difficult to store XML documents as tables in relational model. To solve these problems there have been significant researches in relational database systems. There are two kinds of approaches: 1) One way is to decompose XML documents so that elements of XML match fields of relational tables. 2) The other one stores a whole XML document as a field of relational table. In this paper we adopted the second approach to store XML documents because sometimes it is not easy for us to decompose XML documents and in some cases their element order in documents are very meaningful. We suggest an efficient table schema to store only inverted index as tables to retrieve required data from XML data fields of relational tables and shows SQL translations that correspond to XML full-text retrievals. The functionalities of XML retrieval are based on the W3C XQuery which includes full-text retrievals. In this paper we show the superiority of our method by comparing the performances in terms of a response time and a space to store inverted index. Experiments show our approach uses less space and shows faster response times.