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L-INDEX : A Conceptual Index of Textual Data on MapReduce Platform

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  • 발행기관
    보안공학연구지원센터(IJGDC) 바로가기
  • 간행물
    International Journal of Grid and Distributed Computing 바로가기
  • 통권
    Vol.8 No.2 (2015.04)바로가기
  • 페이지
    pp.213-234
  • 저자
    Dunlu Peng, Kai Duan, Lei Xie
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A245239

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원문정보

초록

영어
Although in past few decades, lots of research has been done on searching documents in textual data and there have been many commercial systems for retrieving data on the Web. Fast retrieving desired documents from massive textual corpora is still challenging. Indexing is the most commonly used way to improve the performance of retrieving; particularly an effective index structure can help retrieving data more quickly and effectively. This work proposes a novel index structure, named as L−INDEX, to conceptually index massive set of textual data. L-INDEX employs Form Concept Analysis to discover the relationships between documents and expresses the discovered relationships with lattice. To make our approach more applicable to process massive set of data, the structure is implemented in MapReduce environment which can fulfill computing tasks in an efficient distributed way. A set of algorithms is developed for creating, maintaining, storing L-INDEX and searching documents through it as well. A serial of experiments is conducted to verify the performance of our approach by comparing it with some other popular existing indexing structures. The experimental results demonstrate that the proposed approach can index massive set of textual data with an effective structure which supports querying tasks in an efficient way.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Traditional Index Structures
  2.2. General Distributed Index Structures
  2.3. Indexing in MapReduce
 3. FCA and Problem Description
  3.1. Introducing FCA
  3.2. Basic Theory
  3.3. Problem Description
 4. Generating Formal Concepts in MapReduce
  4.1. Storage of Document Context
  4.2. Map Function: LMap
  4.3. Reduce Function: LReduce
 5. Establishing, Maintaining and Searching on L-INDEX
  5.1. Establishment of L-INDEX
  5.2. Maintenance of L-INDEX
  5.3. Searching on L-INDEX
 6. Experimental Evalua
  6.1. Experimental Settings
  6.2. Factors Affect the Performance of Establishing L-INDEX
  6.3. Performance of Maintaining L-INDEX
  6.4. Retrieving on L-INDEX
 7. Conclusion
 Acknowledgements
 References

키워드

Indexing structure Textual data Formal Concept Analysis Lattice MapReduce Information Retrieval

저자

  • Dunlu Peng [ School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China ]
  • Kai Duan [ School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China, The First Research Institute of Telecommunications Technology, Shanghai, 200000, China ]
  • Lei Xie [ School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Grid and Distributed Computing
  • 간기
    격월간
  • pISSN
    2005-4262
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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