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Design & Research of Legal Affairs Information Service Platform Based on UIMA and Semantics

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJFGCN) 바로가기
  • 간행물
    International Journal of Future Generation Communication and Networking 바로가기
  • 통권
    Vol.9 No.3 (2016.03)바로가기
  • 페이지
    pp.1-14
  • 저자
    Wang Chen, Zhang Jia, Qin Lele
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A271487

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원문정보

초록

영어
The law is the most powerful weapon to safeguard national stability and ensure flourishing of all causes as well as an instrument to protect the rights and interests of the masses, therefore, the just and accurate use of legal provisions is of crucial importance. With the increase of informatization level of the legal industry itself, more and more services in legal affairs are provided in information-based forms, and there is a large number of unstructured information in such business data. It’s a problem the legal industry needs to tackle in information management to rapidly acquire valuable content from the massive unstructured data and make use of such content. Based on analysis of problems arising in existing laws and regulations informatization system, this paper comes up with solution of a legal affairs information service platform based on cloud computing, UIMA, semantics, big data and Chinese word segmentation. This paper also proposes the four-layer technical framework solution on the basis of the design of integration and management method of unstructured data of heterology and isomerism, analyzing and processing method of unstructured data, semantics based unstructured information retrieval method and construction and maintenance method of ontology library. It also provides detailed introduction to the realization of the combination of big data and cloud computing and its application in this information platform by virtue of designing UFS - a distributed file system, MapReduce - a batch processing technology and BigTable - a distributed database. Data acquisition and expanded data analysis can be conducted by making use of the expandable UIMA framework and the sequential indexing of data content and analysis results can be materialized by means of applying Lucene indexing technology. With regard to information retrieval, the concept of ontology is introduced on the basis of traditional search model and a new search model based on domain ontology is proposed. IKAnalyzer 3.x is proposed to facilitate Chinese word segmentation. By taking advantage of such information service platform, legal affairs enterprises can effectively integrate structured and unstructured information resources and implement the storage, analysis, retrieval and decision-making applications of business data content.

목차

Abstract
 1. Introduction
 2. Problems of Existing Laws and Regulations Retrieval System Introduction
 3. Current Research at Home and Abroad
 4. System Design
 5. Application of Big Data Technology in the Information Service Platform
 6. UIMA and its Application
 7. Word Segmentation and its Application
 8. Conclusion
 Acknowledgement
 References

저자

  • Wang Chen [ Hebei University of Science & Technology, Shijiazhuang, China ]
  • Zhang Jia [ Hebei University of Science & Technology, Shijiazhuang, China ]
  • Qin Lele [ Hebei University of Science & Technology, Shijiazhuang, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJFGCN) [Science & Engineering Research Support Center, Republic of Korea(IJFGCN)]
  • 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 Future Generation Communication and Networking
  • 간기
    격월간
  • pISSN
    2233-7857
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Future Generation Communication and Networking Vol.9 No.3

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