• Title/Summary/Keyword: Query process

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A Study on Ship Initial Design Agent System Based on ACL and CORBA (ACL과 CORBA를 이용한 선박 초기설계 에이전트 시스템에 관한 연구)

  • 김동현;이규열;이상욱
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.4
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    • pp.360-370
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    • 1999
  • The paper proposed a basic architecture of an agent system to support exchange and sharing of design informations by means of ACL(Agent Communication Language) which can represent design informations and knowledges. Based on the architecture of the agent system a ship initial design agent system was implemented in order to show the effectiveness of the agent-based system. The basic architecture of the agent consists of an ACL handlerand CORBA(Common Object Request Broker Architecture) objects for the exchange of ACL messages in the heterogeneous and distributed environment. The ACL handler can process expressions of knowledge and manage communication messages among the agents. The paper mainly focuses on the implementation of the ACL handler. The ACL handler consist of a KQML(Knowledge Query and Manipulation Language) handler that manages KQML messages, a conversation module, and a content handler that handles message contents. The conversation modulo implements conversation policies and checks all messages if they are allowable and meaningful messages based on the conversation policies. The implemented agent-based system was applied to the ship initial design to show the handling procedure of the agent system.

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Design and Implementation of an ebXML Registry (ebXML 레지스트리의 설계 및 구현)

  • 김경일;김록원;송병열;조현규
    • Proceedings of the CALSEC Conference
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    • 2001.08a
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    • pp.253-258
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    • 2001
  • In electronic commerce, a registry is an integrated software system that supports access to registry metadata in order to locate and retrieve registered objects it can be discovered and used by a client or customer. In general, a registry consists of information model and its service. A registry implementation supports a registry services interface that can be used by abstract agents to assist a human or some other software process to register new objects, provide appropriate metadata for those objects, browse or query registry content, filter out irrelevant references, and retrieve the content of selected items. We show a layered registry architecture that is flexible enough to support the required specialization of many different kinds of registry specification of other sponsoring groups. This architecture could easily adopt different registry specification. This paper suggests a prototype implementation model which supports ebXML Registry standard based on this layered architecture.

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Segment-Based Inverted Index for Querying Large XML Documents (대용량 XML 문서의 효율적인 질의 처리를 위한 세그먼트 기반 역 인덱스)

  • Jeong, Byeong-Soo;Lee, Hiye-Ja
    • Journal of Information Technology Services
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    • v.7 no.3
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    • pp.145-157
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    • 2008
  • The existing XML storage methods which use relational data model, usually store path information for every node type including literal contents in order to keep the structural information of XML documents. Such path information is usually maintained by an inverted index to efficiently process XPath queries for large XML documents. In this study, We propose an improved approach that retrieve information from the large volume of XML documents stored in a relational database, while using a segment-based inverted index for path searches. Our new approach can reduce the number of searching an inverted index for getting target path information. We show the effectiveness of this approach through several experiments that compare XPath query performance with the existing methods.

Advanced Technologies in Blockchain, Machine Learning, and Big Data

  • Park, Ji Su;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • v.16 no.2
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    • pp.239-245
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    • 2020
  • Blockchain, machine learning, and big data are among the key components of the future IT track. These technologies are used in various fields; hence their increasing application. This paper discusses the technologies developed in various research fields, such as data representation, Blockchain application, 3D shape recognition and classification, query method, classification method, and search algorithm, to provide insights into the future paradigm. In this paper, we present a summary of 18 high-quality accepted articles following a rigorous review process in the fields of Blockchain, machine learning, and big data.

Development of an Expert System for Diagnosing Machine Tool Failures (공작기계 고장 진단 전문가 시스템 개발)

  • Seo, Dong-Kyu;Kang, Mu-Jin
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.10
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    • pp.217-224
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    • 1999
  • Trouble shooting of modern machine tools equipped with sophisticated electronic as well as mechanical parts is so difficult that it is usually depends upon the experience and accumulated knowledge of the diagnosing persons. On the other hand, tool users are scattered in wide area, which makes it expensive for a machine tool maker to run a vast service network. An unmanned diagnosis system to which users can have access at all times could be an efficient alternative. For this purpose, a rule-based expert system for diagnosing machine tools is developed. This paper describes the structure of diagnostic knowledge, the rule firing mechanism, the diagnosis flow, and user query process. An example shows the feasibility of problem solving on site without help of a service expert from machine tool maker.

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A Compressed Histogram Technique for Spatial Selectivity Estimation (공간 선택률 추정을 위한 압축 히스토그램 기법)

  • Chung, Jae-Du;Chi, Jeong-Hee;Ryu, Keun-Ho
    • 한국공간정보시스템학회:학술대회논문집
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    • 2004.12a
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    • pp.69-74
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    • 2004
  • Selectivity estimation for spatial query is very important process in finding the most efficient execution plan. Many works have been performed to estimate accurately selectivity. Although they deal with some problems such as false-count, multi-count, they require a large amount of memory to retain accurate selectivity, so they can not get good results in little memory environments such as mobile-based small database. In order to solve this problem, we propose a new technique called MW histogram which is able to compress summary data and get reasonable results. It also has a flexible structure to react dynamic update. The experimental results showed that the MW histogram has lower relative error than MinSkew histogram and gets a good selectivity in little memory.

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Query Operations for Fuzzy Spatiotemporal Databases (퍼지 시공간 데이터베이스를 위한 질의 연산)

  • Nhan Vu Thi Hong;Chi Jeong-Hee;Ryu Keun-Ho
    • 한국공간정보시스템학회:학술대회논문집
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    • 2004.12a
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    • pp.81-88
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    • 2004
  • GIS (geographic information system) applications increasingly require the representation of geospatial objects with fuzzy extent and querying of time-varying information. In this paper, we Introduce a FSTDB (fuzzy spatiotemporal database) to represent and manage states and events causing changes of dynamic fuzzy objects using fuzzy set theory. We also propose the algorithms for the operators to be included in a GIS to make it able to answer queries depending on fuzzy predicates during a time interval and a method to identify the development process of objects during a certain period based on the designed database. They can be used in application areas handling time-varying geospatial data, including global change (as in climate or land cover change) and social (demographic, health, ect.) application.

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A Study on Work Semantic Categories for Natural Language Question Type Classification and Answer Extraction (자연어 질의유형 판별과 응답 추출을 위한 어휘 의미 체계에 관한 연구)

  • Yoon Sung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.6
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    • pp.539-545
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    • 2004
  • For question answering system that extracts an answer and output to user‘s natural language question, a process of question type classification from user’s natural language query is very important. This paper proposes a question and answer type classifier using the interrogatives and word semantic categories instead of complicated classifying rules and huge dictionaries. Synonyms and postfix information are also used for question type classification. Experiments show that the semantic categories are helpful for question type classifying without interrogatives.

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DESIGN OF DATA REDUCTION SYSTEM AND CONSTRUCTION OF PHOTOMETRIC DATABASE FOR KMTNet (KMTNet 자료처리 시스템 설계와 측광데이터베이스 구축)

  • Kim, D.J.;Lee, C.U.;Kim, S.L.;Park, B.G.;Lee, J.W.
    • Publications of The Korean Astronomical Society
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    • v.24 no.1
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    • pp.83-91
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    • 2009
  • We have designed data processing server system to include data archiving, photometric processing and light curve analysis for KMTNet (Korea Microlensing Telescope Network). Outputs of each process are reported to the main photometric database, which manages the whole processing steps and archives the photometric results. The database is developed using ORACLE 11g Release 2 engine. It allows to select objects applying any set of criteria such as RA/DEC coordinate and Star ID, etc. We tested the performance of the database using the OGLE photometric data. The searching time for querying 70,000,000 records was under 1 second. The database is fully accessed using query forms via web page.

Business Process Modeling for A Distributed Information Integration System using the EPEM Methodology (EPEM방법론을 이용한 분산 정보 통합 시스템의 비즈니스 프로세스 모델링)

  • 김종환;박혜숙;백두권
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04b
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    • pp.370-372
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    • 2002
  • 분산 정보 통합 시스템(DIIS) 프로젝트는 기업집합환경 하에서 운영되고 있는 분산된 이기종의 비즈니스 정보 시스템들을 물리적 통합이 아닌 논리적으로 통합함으로써 사용자 의사 결정을 지원하는데 필요한 통합정보를 웹 기반으로 제고하는데 목표를 두고 있다. 이 프로젝트는 하나의 중앙 집중적인 데이터베이스를 구축하는 것이 아니기 때문에 , 분산된 이기종의 각 시스템의 데이터 모델이나 데이터베이스 스키마 구조를 전혀 변경할 필요가 없다. 우리는 소프트웨어 시스템을 개발할 때 하나의 비즈니스 표준인 UML을 확장한 방법론인 EPEM을 DIIS에 적용함으로써, DIIS의 핵심 관리자인 Query Mediation Manager 프로세스와Query Processing Manager 프로세스에 대해 비즈니스 프로세스 모델링하였고, 또한 디자인된 프로세스와 추출된 패키지 사이에 상호작용을 전체적으로 표현하기 위해 어셈블리 라인 다이어그램을 모델링하였다.

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