• 대기
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• 제26권2호
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• pp.215-226
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• 2016

Conceptual models to analyze both typhoon and Changma using products extracted by the GEO-KOMPSAT-2A (GK-2A) are suggested in this study. The GK-2A which is scheduled to be launched in 2018 has a high resolution, 16 channels, and 52 products. This means GK-2A is expected to obtain high quality images and products, which can detect severe weather earlier than the Communications, Ocean and Meteorological Satellite (COMS). Since there are not enough conceptual models for typhoon and Changma using satellite images and products, our conceptual model can increase both the applicability of satellite data and the accuracy of analysis. In the conceptual model, typhoons are classified as three types by prevailing factors; 1) heavy-rainfall type, 2) wind type, and 3) complex type. For Changma, two types are divided by the characteristics; band type and heavy-rainfall type. Among the high resolution 52 products, each type of typhoon and Changma are selected. In addition, the numerical products and dynamic factors are considered in order to improve conceptual models.

• 한국국방경영분석학회지
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• 제25권1호
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• pp.87-106
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• 1999

There are many technical datum in related with design, test & evaluation and logistic support which will be exchanged between geographically isolated units and heterogeneous hardwares & softwares in developing and operating the weapon systems. The paper proposes the conceptual database schema to establish configuration management information systems in which these datum can be automatically interchanged, tracked, audited and status-accounted without errors under the various environments. The paper investigates how to identify and classify the data in accordance with document identification, task analysis, system development, logistic support, system test & evaluation and data management. Furthermore, the investigation includes drawing the subject areas and modeling the conceptual database schema to explain the relationships between these datum. Thus, the paper results in the conceptual framework and data models of configuration management information systems, while additional customization efforts be required in applying the models to a specific weapon systems R&D.

• 한국도서관정보학회지
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• 제54권1호
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• pp.167-190
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• 2023

본 연구는 활동이론을 이론적 틀로 활용하여 연구데이터 큐레이션 모델을 분석한 문헌 연구로, 활동이론에서 사용하는 활동의 구성 요소들을 바탕으로 여러 연구데이터 큐레이션 모델을 분석했을 뿐만 아니라 연구데이터 큐레이션 활동을 수행하는데 있어서 도서관계에서 논의가 필요한 현안을 분석하였다. 그리고 이를 기반으로 새로운 연구데이터 큐레이션 개념 모델을 제안하였다. 본 연구는 기존에 제안된 5개의 디지털 큐레이션 생애주기모델이 어떻게 구성되어 있는지 분석하고 각각의 모델에서 산발적으로 제시되는 활동요인들을 분석하여 공통요인을 추출하고 새로운 모델로 통합하여 새로운 연구데이터 큐레이션 개념 모델을 제안하였다. 또한, 도서관 및 리포지토리에서 연구데이터 큐레이션 활동을 수행함에 있어서 고려해야 할 6가지의 현안들을 분석하고 논의하였다. 본 연구에서 제안되는 연구데이터 큐레이션 개념 모델은 총 10단계로 이루어져 있으며, 각 활동의 단계에서 고려해야 할 실천적 문제와 모순을 포함하고 있다.

• 한국전자거래학회지
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• 제4권1호
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• pp.37-58
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• 1999

In this paper, we suggest the system analysis method that links IDEF0 and conceptual analysis. Based on the method, we propose the implementation methodology that can be used to build CALS/EC systems in logistics industry. This paper presents data characteristic derived using ICAM DEFinition(IDEF0) and conceptual data modeling. Modeling methodology has been widely used for analysis and design of an enterprise information system. Further IDEF has been considered appropriate for developing functional and database models for the logistics environment.

• 한국인터넷방송통신학회논문지
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• 제19권6호
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• pp.197-202
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• 2019

XML은 문서의 표현 및 교환을 위한 사실상의 표준으로 자리 잡아 왔으며, 논리적 데이터 모델로 널리 사용되어 왔다. XML을 논리적 모델로 사용하기 위해서는 XML이 갖는 의미론에 대한 개념적 모델이 필요하다. 하지만, XML의 고유한 특성을 표현하기 위해 기존의 개념적 모델인 개체관계 모델이나 UML 등을 이용하여 모델을 확장하여 사용해 왔지만 현재까지 표준화된 모델은 없다. 본 논문은 데이터베이스 분야 관점에서 개체 관계 모델을 확장하여 XML의 개념적 모델로 사용하는 대표적인 모델들의 특징을 비교한다. 이를 위해 XML의 개념적 모델이 충족해야 할 요구사항들을 제시하고, 이를 근거로 각 모델들의 접근방식을 비교한다.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.247-260
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• 2021

Data modeling is a process of developing a model to design and develop a data system that supports an organization's various business processes. A conceptual data model represents a technology-independent specification of structure of data to be stored within a database. The model aims to provide richer expressiveness and incorporate a set of semantics to (a) support the design, control, and integrity parts of the data stored in data management structures and (b) coordinate the viewing of connections and ideas on a database. The described structure of the data is often represented in an entity–relationship (ER) model, which was one of the first data-modeling techniques and is likely to continue to be a popular way of characterizing entity classes, attributes, and relationships. This paper attempts to examine the basic ER modeling notions in order to analyze the concepts to which they refer as well as ways to represent them. In such a mission, we apply a new modeling methodology (thinging machine; TM) to ER in terms of its fundamental building constructs, representation entities, relationships, and attributes. The goal of this venture is to further the understanding of data models and enrich their semantics. Three specific contributions to modeling in this context are incorporated: (a) using the TM model's five generic actions to inject processing in the ER structure; (b) relating the single ontological element of TM modeling (i.e., a thing/machine or thimac) to ER entities and relationships; and (c) proposing a high-level integrated, extended ER model that includes structural and time-oriented notions (e.g., events or behavior).

• 한국측량학회지
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• 제25권6_1호
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• pp.565-574
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• 2007

Because of most current cadastral systems maintain 2D geometric descriptions of parcels linked to administrative records, the system may not reflect current tendency to use space above and under the surface. The land has been used in multi-levels, e.g. constructions of multi-used complex buildings, subways and infrastructure above/under the ground. This cadastre situation of multilevel use of lands cannot be defined as cadastre objects (2D parcel-based) in the cadastre systems. This trend has requested a new system in which right to land is clearly and indisputably recorded because a right of ownership on a parcel relates to a space in 3D, not any more relates to 2D surface area. Therefore, this article proposes a 3D spatial data model to represent geometrical and topological data of 3D (property) situation on multilevel uses of lands in 3D cadastre systems, and a conceptual 3D cadastral model in Korea to design a conceptual schema for a 3D cadastre. Lastly, this paper presents the results of an experimental implementation of the 3D Cadastre to perform topological analyses based on 3D Network Data Model to identify spatial neighbors.

• 전기전자학회논문지
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• 제7권2호
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• pp.144-155
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• 2003

본 논문에서는 객체 기술과 복잡한 구조적 데이터와 관련된 데이터베이스 구조를 효율적으로 표현하기 위한 통합 데이타 모델(UDM)이라고 하는 개념 데이터 모델을 제안한다. 이 모델은 E-R 모델, 의미 객체 모델, UML 등의 데이타 모델의 주요 기능을 데이타베이스 설계 관점에서 통합한 것이다. 이 모델은 시공간 멀티미디어 데이타의 복잡한 구조를 모델링하기 위해 제안된 객체-관계 모델을 단순화시키고 일부 기능을 확장시킨 버전이다. 이 모델은 현대적인 데이터베이스 응용의 주요한 의미적, 구조적인 정보의 표현을 지원하며, 관계, 객체-관계, 객체-지향, (반-)구조 데이터베이스 등 주요 논리적 데이터베이스 모델을 지원하도록 고안되었다. 데이터베이스 설계를 위한 도구로 통합 데이타 다이아그램(UDD)을 제안하며, 이 통합 데이타 모델로부터 논리적 뷰를 유도하기 위한 방법도 제안한다. 제안된 모델은 다양한 개념적 데이터베이스 설계를 위한 편리하고 실용적인 도구로 활용될 수 있다.

• 산업경영시스템학회지
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• 제17권31호
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• pp.73-80
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• 1994

Sequentiality in decision making is an inherent characteristic of the R&D Process, Conceptual changes are noted during the Course of the Project which represent a continuous improvement in the quality of the data available during the various project stages. In this paper, Eight characteristic types of project evaluation models have been developed economic index models, portfolio models, decision theory models, risk analysis models, frontier models, scoring models, profile models and checklists. Each of these will be critically reviewed and appraised.

• Journal of Information Technology Applications and Management
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• 제18권4호
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• pp.95-118
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• 2011

In developing information systems, conceptual modeling is among the most fundamental means. The importance attributed to conceptual modeling has not only given rise to a lot of modeling methods, but also to the "yet another modeling approach (YAMA)" syndrome and the "not another modeling approach (NAMA)" hysteria. Criticism of conceptual modeling methods usually targets their lacking of theoretical foundations. In response to such criticism, various approaches towards theoretical foundations of conceptual modeling have been proposed so far. One of the recent responses to the quest for theoretical foundations of conceptual modeling is the reference to the philosophical ontology. The currently most prominent of diverse approaches towards ontological foundations of conceptual modeling appears to be the Bunge-Wand-Weber (BWW) ontology. Recent approaches attempt to regard BWW ontology as another conceptual data model as well as a criterion for evaluating various conceptual models. However, unfortunately, relatively few researches have been made on interoperability between the Entity-Relationship (ER) model, which is the most dominant conceptual data model, and ontology based model. In this paper, we investigate the interoperability between ontology and the ER model. In detail we (i) reclassify components of ER model with respect to ontology concepts, (ii) identify some components that cannot be directly represented in ontology notation, and (iii) present alternative representations to the components to acquire ontologically clear ER diagrams. Additionally, we (iv) present a set of mapping rules for converting the ontologically clear ER diagram into the corresponding ontology. In a case study, we show the process of converting an ER diagram for a concise Project Management System (PMS) into the ontologically clear ER diagram and the corresponding ontology. We also describe an experiment that we undertook to test whether users understand the Ontologically-Clear ER diagram better.