• Title/Summary/Keyword: Heterogeneous data integration

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The Development of an Integration Tool for the Data Sharing Among the Enterprise information Systems (기업 정보 시스템간 효율적인 데이터 공유를 위한 통합 도구 개발)

  • 한관희;박찬우;최운집;이상한
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.782-787
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    • 2004
  • Recently, many enterprises are introducing EAI(Enterprise Application Integration) technologies for integrating heterogeneous enterprise information systems. Among EAI levels, data-level integration is relatively straightforward and most popular. However, current commercial solutions have complex functionalities and are expensive for implementing the data integration tasks. Also, they have their own proprietary architectures and have a restricted interoperability. Proposed in this paper is the development of data integration middleware for facilitating data exchanges between the heterogeneous information systems. The main feature of this middleware is a explicit mapping of meta data about the relationships between source and target data. Based on this mapping, users who do not have expertise in information technology at the small & medium enterprise can easily handle data exchange tasks between information systems.

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The Development of a Data Integration Middleware for Enterprise Information Systems (기업 정보 시스템 간 데이터 통합을 위한 미들웨어 개발)

  • Han, K.H.;Park, C.W.;Bae, S.M.
    • IE interfaces
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    • v.17 no.4
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    • pp.407-413
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    • 2004
  • Recently, many enterprises are adopting EAI (Enterprise Application Integration) technologies for integrating heterogeneous enterprise information systems. Among EAI levels, data-level integration is relatively straightforward and most popular. However, most commercial solutions provide complex functionalities and are expensive for implementing the data integration tasks at the small & medium enterprises. Also, they have their own proprietary architectures and have a restricted interoperability. Proposed in this paper is the development of a data integration middleware for facilitating data exchanges between the heterogeneous information systems. The main feature of this middleware is a explicit mapping of meta data about the relationships between source and target data. Based on this explicit mapping, users who do not have expertise in information technology at the small & medium enterprises can easily execute data exchange tasks among various information systems.

A Study on Hybrid Database Integration Model for Product Data Management (PDM을 위한 하이브리드 데이터베이스 통합 모델에 관한 연구)

  • Lee, Kang-Chan;Lee, Sang;Yoo, Jung-Yeon;Lee, Kyu-Chul
    • The Journal of Society for e-Business Studies
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    • v.3 no.1
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    • pp.23-41
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    • 1998
  • In a centralized database system, all system components reside at a single platform. In recent years there has been a rapid trend toward the integration of information systems over multiple sites that are interconnected via a communication network, and users' needs are changed to integration of multiple information sites. Multi database System is one of solutions for integrating distributed heterogeneous databases. However the problems in multi database system are restriction in distributed environment support, limitation in integrating heterogeneous media type data, static integration, and data-only of integration. In order to solve these problems, we propose a hybrid database integration model, HyDIM. HyDIM is used for the integrating legacy multimedia data, adopting CORBA, MDS, and mediator. We demonstrate a prototype system far PDM application domain.

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3-D Hetero-Integration Technologies for Multifunctional Convergence Systems

  • Lee, Kang-Wook
    • Journal of the Microelectronics and Packaging Society
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    • v.22 no.2
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    • pp.11-19
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    • 2015
  • Since CMOS device scaling has stalled, three-dimensional (3-D) integration allows extending Moore's law to ever high density, higher functionality, higher performance, and more diversed materials and devices to be integrated with lower cost. 3-D integration has many benefits such as increased multi-functionality, increased performance, increased data bandwidth, reduced power, small form factor, reduced packaging volume, because it vertically stacks multiple materials, technologies, and functional components such as processor, memory, sensors, logic, analog, and power ICs into one stacked chip. Anticipated applications start with memory, handheld devices, and high-performance computers and especially extend to multifunctional convengence systems such as cloud networking for internet of things, exascale computing for big data server, electrical vehicle system for future automotive, radioactivity safety system, energy harvesting system and, wireless implantable medical system by flexible heterogeneous integrations involving CMOS, MEMS, sensors and photonic circuits. However, heterogeneous integration of different functional devices has many technical challenges owing to various types of size, thickness, and substrate of different functional devices, because they were fabricated by different technologies. This paper describes new 3-D heterogeneous integration technologies of chip self-assembling stacking and 3-D heterogeneous opto-electronics integration, backside TSV fabrication developed by Tohoku University for multifunctional convergence systems. The paper introduce a high speed sensing, highly parallel processing image sensor system comprising a 3-D stacked image sensor with extremely fast signal sensing and processing speed and a 3-D stacked microprocessor with a self-test and self-repair function for autonomous driving assist fabricated by 3-D heterogeneous integration technologies.

Development of Database Broker for Enterprise Integration (기업통합을 위한 데이터베이스 브로커 개발)

  • 신혜균;김정선;우훈식
    • The Journal of Society for e-Business Studies
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    • v.5 no.1
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    • pp.105-122
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    • 2000
  • Enterprise integration and virtual enterprise are practical visions of industrial information implementations in the information society. In these environments, the distributed and heterogeneous data sources should be exchanged and shared in effective and integrated way. However, the distributed and heterogeneous data sources are managed by independent and heterogeneous computer systems, thus system users and developers are faced difficulties in implementing enterprise integration environments, In this study, we designed and developed a database broker system utilizing a routing broker method to provide transparent location access mechanisms for the distributed and heterogeneous data sources. The proposed mechanism is designed to act as a middle tier between clients and multiple servers, and adopts Java, CORBA, and JDBC as its state-of-the-art techniques.

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Integration System Manageable by User on Heterogeneous Service Environment (다중 서비스 환경에서 사용자가 관리 가능한 통합 시스템)

  • Kang, Minjung;Kim, Sangwook
    • Journal of Korea Multimedia Society
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    • v.19 no.7
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    • pp.1188-1196
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    • 2016
  • Integration systems help users consume services more effectively. However, previous integration systems can only enable predefined service cooperation to satisfy users, which is difficult to achieve user-centric service composition in dynamic environments. Therefore, in this paper, a dynamic service integration system is proposed to automatically combine services based on usage history. With this system, services can be dynamically composed to meet users' needs and information can be flexibly transited among heterogeneous services.

A Study on BIM-based Facility Management System Architecture Development considering the heterogeneous solution data integration (BIM과 이기종 솔류션 데이터 통합을 고려한 시설물관리 시스템 아키텍처 개발에 관한 연구)

  • Kang, Tae Wook;Choi, Hyun Sang
    • Spatial Information Research
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    • v.21 no.4
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    • pp.25-34
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    • 2013
  • The purpose of this study is to develop an efficient BIM-based FM(Facility Management) system architecture to integrate the heterogeneous solution data related to FM. The heterogeneous solution data can be an FM system, asset management system, or facility sensor database systems, as well as files created by a modeler. In this study, we define the consideration for the external heterogeneous data integration related to BIM-based FM and propose the methodology. To implement it, trends in related studies were reviewed and general use cases of BIM-based FM were derived to develop the architecture for the integration between BIM and the heterogeneous solution data. The component architecture was designed to implement the use cases, and the schema was developed for the prototype by using the proposed architecture.

Standard-based Integration of Heterogeneous Large-scale DNA Microarray Data for Improving Reusability

  • Jung, Yong;Seo, Hwa-Jeong;Park, Yu-Rang;Kim, Ji-Hun;Bien, Sang Jay;Kim, Ju-Han
    • Genomics & Informatics
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    • v.9 no.1
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    • pp.19-27
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    • 2011
  • Gene Expression Omnibus (GEO) has kept the largest amount of gene-expression microarray data that have grown exponentially. Microarray data in GEO have been generated in many different formats and often lack standardized annotation and documentation. It is hard to know if preprocessing has been applied to a dataset or not and in what way. Standard-based integration of heterogeneous data formats and metadata is necessary for comprehensive data query, analysis and mining. We attempted to integrate the heterogeneous microarray data in GEO based on Minimum Information About a Microarray Experiment (MIAME) standard. We unified the data fields of GEO Data table and mapped the attributes of GEO metadata into MIAME elements. We also discriminated non-preprocessed raw datasets from others and processed ones by using a two-step classification method. Most of the procedures were developed as semi-automated algorithms with some degree of text mining techniques. We localized 2,967 Platforms, 4,867 Series and 103,590 Samples with covering 279 organisms, integrated them into a standard-based relational schema and developed a comprehensive query interface to extract. Our tool, GEOQuest is available at http://www.snubi.org/software/GEOQuest/.

Real-time Virtual Integration of heterogeneous system and Union Query System

  • Min, Seong-Hyeon;Lee, Sang-Joon;Kwak, Ho-Young
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.10
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    • pp.107-114
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    • 2016
  • In this paper, we propose the building method for the unified IoT service platform between the variety of legacy systems with the heterogeneous structures and the operating environments. To accommodate the structural diversity of legacy systems, we develop a virtual integrated structure and interface abstracting method. By this, the new platform can use the data sources of the legacy systems as if the data source is in the new platform. In a manner without modification of the legacy systems with performing minimum tasks, we proposes a model that can be integrated without affecting the availabilities of the legacy systems.

Deep Learning-based Evolutionary Recommendation Model for Heterogeneous Big Data Integration

  • Yoo, Hyun;Chung, Kyungyong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.9
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    • pp.3730-3744
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    • 2020
  • This study proposes a deep learning-based evolutionary recommendation model for heterogeneous big data integration, for which collaborative filtering and a neural-network algorithm are employed. The proposed model is used to apply an individual's importance or sensory level to formulate a recommendation using the decision-making feedback. The evolutionary recommendation model is based on the Deep Neural Network (DNN), which is useful for analyzing and evaluating the feedback data among various neural-network algorithms, and the DNN is combined with collaborative filtering. The designed model is used to extract health information from data collected by the Korea National Health and Nutrition Examination Survey, and the collaborative filtering-based recommendation model was compared with the deep learning-based evolutionary recommendation model to evaluate its performance. The RMSE is used to evaluate the performance of the proposed model. According to the comparative analysis, the accuracy of the deep learning-based evolutionary recommendation model is superior to that of the collaborative filtering-based recommendation model.