• Title/Summary/Keyword: 메타모형

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An extended metamodel based on logic & object-oriented approach

  • 박성주;오세창;이하민
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1992.04b
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    • pp.503-511
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    • 1992
  • 현존하는 대부분의 메타 시스템들은 개체-관계 모형을 기반으로 한 메타모형을 갖는다. 그러나 개체-관계 모형을 기반으로 하는 메타모형은 정보시스템 개발환경에 대한 정보를 충분히 표현하기에 부족하며 유추능력에 있어서도 한계성을 가지고 있다. 본 논문에서는 이러한 단점들을 극복하기 위해 확장된 메타모형이 제시되었다. 새로운 메타모형에서는 정보를 충분히 반영하기 위하여 객체지향적 데이타모형을 기반으로 하며 유추능력을 향상시키기 위하여 논리를 도입하였다.

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A Study on Usability of Interface Metaphors in the Information Retrieval Systems (검색시스템에서 인터페이스 은유모형의 유용성에 관한 연구)

  • 서은경
    • Journal of the Korean Society for information Management
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    • v.18 no.3
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    • pp.179-202
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    • 2001
  • In information system research. there has been a strong interest in developing the user-centered interface. Interface metaphors have been regarded as a user friendly device of the information retrieval systems. This study is to discover overall opinions about metaphors and to evaluate the usability of metaphors used in the homepages and retrieval interfaces of academic and public libraries. It is found that some metaphors cause users to confuse because they are similar each others or don\`t have unique meaning and because some have weak relationship between texts and images of metaphors. It is necessary to develop a metaphor model suitable for the a specific interface. This study proposes to develop functional metaphors which can help users easily understand how to operate and remember the procedures, and which are based in user\`s knowledge and experiences. The organizational metaphors of a virtual community also will be considered as a new type of retrieval interfaces.

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A Study on the Design of Metaevaluation Model for the Maritime Traffic Safety Assessment Scheme (해상교통안전진단제도의 메타평가 모형설계에 관한 연구)

  • Cho, Kyung-Min;Kong, Gil-Young;Cho, Ik-Soon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.19 no.4
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    • pp.382-390
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    • 2013
  • The efforts for improving 'Maritime Traffic Safety Assessment Scheme(MTSA scheme)' have continued to the present. At this point, it needs to establish sound MTSA scheme to proceed acceleration step through the comprehensive review and systematic approach. In this study, it aimed to design of Metaevaluation Model for the comprehensive analysis of MTSA scheme with applying theory of the Metaevaluation, that is the evaluation of evaluation. To put it concretely, This research draw a basic model by using Metaevaluation methods like as literature studies, expert reviews, surveys and etc. and proposed a available 'PIP'OU' Metaevaluation Model through verified validity and reliability. This PIP'OU Model is the first proposed Metaevaluation Model in maritime field and it is expected to be used as framework to draw up improvement measure with deriving problem for the MTSA scheme.

A Study on the Naming Rules of Metadata based on Ontology (온톨로지 기반 메타데이터 명명 규칙에 관한 연구)

  • Ko, Young-Man;Seo, Tae-Sul
    • Journal of the Korean Society for information Management
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    • v.22 no.4 s.58
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    • pp.97-109
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    • 2005
  • To build the consistency among different metadata systems and to increase the interoperability of that systems even among different domains, naming rules and glossaries for the data elements are necessary. This study provides discussion of naming and identification of the data element concept, data element, conceptual domain, value domain, and its meta model. This study also describes example naming conventions based on ontology derived from the combination with object, properties, and representation of data elements. The naming principles and rules described in this study use I-R analysis, DC metadata set, and SHOE 1.0 as an example of the scientific documents. This study would be a guideline to build the naming rules of metadata based on ontology in various domains.

An Exploratory Study of Psychological Characteristics of Metaverse Users (메타버스 이용자의 심리 특성 탐색 연구)

  • Hyeonjeong Kim;HyunJung Kim;Beomsoo Kim;Hwan-Ho Noh
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.63-85
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    • 2023
  • This study aims to identify the primary user group in the growing metaverse space based on the increased interest during the COVID-19 era. It also aims to explore the predictive factors for metaverse adoption. To predict online activities, the study examined user purposes, motivations, and relevant demographic factors as predictive variables through model analysis. The data from the Korean Media Panel Survey were used, and a two-stage analysis with the Heckman two-stage sample selection model was conducted to predict metaverse users. The analysis revealed that the key factors influencing metaverse adoption were offline activities, openness, OTT usage, and purchasing of paid content. Moreover, in the second stage model, openness, gender, and paid content purchases were identified as significant variables for increasing metaverse usage time. These results indicate that understanding metaverse users is essential in the context of the rising interest in online activities during the COVID-19 era and can provide valuable insights for metaverse platform-related companies and developers.

A study on constructing a database in liaison with the distributed bibliographic data using the Metadata Registry (Metadata Registry를 적용한 분산된 국내 문헌정보 DB의 연계 활용 모형 구축에 관한 연구)

  • 박정훈;이응봉
    • Proceedings of the Korean Society for Information Management Conference
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    • 2003.08a
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    • pp.389-395
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    • 2003
  • 현재, 다수의 조직에서 개별적으로 메타데이터 표준을 제시하고 구축하고 있다. 이로 인해 메타데이터 상호간 호환성의 문제가 발생하게 되고 각기 분산되어 구축된 메타데이터 이용 또한 원활하지 않게 되고 있다. 이를 해결하기 위해 본고에서는 메타데이터 레지스트리를 적용하여 국내 문헌정보 DB의 메타데이터 표준 유지와 통합 검색을 통한 연계 활용 모형을 구축하고자 한다.

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Application of data preprocessing to improve the performance of the metaheuristic optimization algorithm-deep learning combination model (메타휴리스틱 최적화 알고리즘-딥러닝 결합모형의 성능 개량을 위한 데이터 전처리의 적용)

  • Ryu, Yong Min;Lee, Eui Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.114-114
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    • 2022
  • 딥러닝의 학습 및 예측성능을 개선하기 위해서는 딥러닝 기법 내 연산과정의 개선과 함께 학습 및 예측에 사용되는 데이터의 전처리 과정이 중요하다. 본 연구에서는 딥러닝의 성능을 개량하기 위해 제안된 메타휴리스틱 최적화 알고리즘-딥러닝 결합모형과 데이터 전처리 기법을 통해 댐의 수위를 예측하였다. 수위예측을 위해 Multi-Layer Perceptron(MLP), 메타휴리스틱 최적화 알고리즘인 Harmony Search(HS)와 딥러닝을 결합한 MLP using a HS(MLPHS) 및 Exponential Bandwidth Harmony Search with Centralized Global Search(EBHS-CGS)와 딥러닝을 결합한MLP using a EBHS-CGS(MLPEBHS)를 통해 댐의 수위를 예측하였다. 메타휴리스틱 최적화 알고리즘-딥러닝 결합모형의 학습 및 예측성능을 개선하기 위해 학습 및 예측을 위한 자료를 기반으로 데이터 전처리기법을 적용하였다. 적용된 데이터 전처리 기법은 정규화, 수위구간별 사상(Event)분리 및 수위 변동에 대한 자료의 구분이다. 수위예측을 위한 대상유역은 금강유역에 위치한 대청댐으로 선정하였다. 대청댐의 수위예측을 위해 대청댐 상류에 위치하는 수위관측소 3개소를 선정하여 수위자료를 취득하였다. 각 수위관측소에서 취득한 수위자료를 입력자료로 설정하였으며, 대청댐의 수위자료를 출력자료로 설정하여 메타휴리스틱 최적화 알고리즘-딥러닝 모형의 학습을 진행하였다. 각 수위관측소 및 대청댐에서 취득한 수위자료는 2010년부터 2020년까지 총 11년의 일 단위 수위자료이며, 2010년부터 2019년까지의 자료를 학습자료로 사용하였으며, 2020년의 자료를 예측 및 검증자료로 사용하였다.

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The Modeling of a Systematic Collection Development and Retrieval to Foreign Government Information Resources on the Internet (외국정부정보에 대한 정보원개발과 검색모형 연구 - 메타사이트와 메타DB개발에 대하여 -)

  • Ahn, In-Ja
    • Journal of the Korean Society for Library and Information Science
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    • v.34 no.2
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    • pp.211-232
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    • 2000
  • The acquisition of foreign government documents by exchange or gift is problematic in the electronic government era because the pattern of distributing system is changed. The alternatives for the collection development are developing the meta-site and establishing the subject gateways for the foreign government information as the resource discovery tools. The anchor and link functions of the AltaVista are used to evaluate a meta-site. The Scout Project Isaac is suggested as the model of interoperating resource discovery services for the geographically distributed metadata databases.

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A Bayesian Method to Semiparametric Hierarchical Selection Models (준모수적 계층적 선택모형에 대한 베이지안 방법)

  • 정윤식;장정훈
    • The Korean Journal of Applied Statistics
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    • v.14 no.1
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    • pp.161-175
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    • 2001
  • Meta-analysis refers to quantitative methods for combining results from independent studies in order to draw overall conclusions. Hierarchical models including selection models are introduced and shown to be useful in such Bayesian meta-analysis. Semiparametric hierarchical models are proposed using the Dirichlet process prior. These rich class of models combine the information of independent studies, allowing investigation of variability both between and within studies, and weight function. Here we investigate sensitivity of results to unobserved studies by considering a hierachical selection model with including unknown weight function and use Markov chain Monte Carlo methods to develop inference for the parameters of interest. Using Bayesian method, this model is used on a meta-analysis of twelve studies comparing the effectiveness of two different types of flouride, in preventing cavities. Clinical informative prior is assumed. Summaries and plots of model parameters are analyzed to address questions of interest.

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A Case Study on Recordkeeping Metadata Standard Applying Multiple Entities (다중 개체 모형을 적용한 기록관리 메타데이터 표준 사례분석)

  • Lee, Ju-Yeon
    • Journal of Korean Society of Archives and Records Management
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    • v.10 no.2
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    • pp.193-214
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    • 2010
  • The multiple entity data model which contains metadata that associate two or more entities is applied recordkeeping metadata standard in recent years. This paper described and analyzed the recordkeeping metadata standard applying multiple entities such as ISO 23081, Australia recordkeeping metadata Standard, New Zealand recordkeeping metadata Standard, New South Wales recordkeeping metadata Standard, Queensland recordkeeping metadata Standard recordkeeping metadata Standard, South Australia recordkeeping metadata Standard, focusing on scope, the number of entities, category in entity, metadata elements. And shows some examples of relationship entity which is the key of multiple entity. As a result of the analysis, this paper suggests some consideration when recordkeeping metadata standard applying multiple entities is revised.