• 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.

• 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.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.3
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• pp.235-257
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• 2011

In this study, we proposed the FRAD concept model of authority data schema for author, organization and journal titles included in the academic papers. Academic information includes author names, affiliations, publishers, journals and conferences. They are used as access points, and there are multiple relationships among these entities. It is expected that the use of authority data for academic information based on FRAD conceptual model could improve more accurate retrieval of information, systematic management of academic information, and various forms of knowledge representation. In this study, our entity-relationship authority data will be linked to the document, and included the several properties and relationship to identify the object.

• Journal of the Korean Society for information Management
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• v.27 no.4
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• pp.219-237
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• 2010

This study proposes a 'Bibliographic Universe Relationship Vocabulary'(burv) using the RDF/OWL Object Property under the SPO predicate logic according to the relationship type among all entities of bibliographic universe and implemented a 'relationship ontology system' to establish a new cataloging business domain called 'Relationship Description Cataloging' based on the ontology.

• Proceedings of the Korean Society for Information Management Conference
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• 2002.08a
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• pp.103-108
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• 2002

IFLA는 개체-관계모형을 기반으로 하여 서지레코드가 수행해야 할 기능에 관한 '서지레코드의 기능상 요건에 관한 모형'(Functional Requirements for Bibliographic Records: FRBR Model)을 발표하였다. 본 연구에서는 FRBR 모형의 비평적 분석을 통하여 새로운 목록규칙에 대한 방안을 모색하고자 한다.

• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.207-226
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• 2015

FRBR and FRAD model, ICP, RDA, NCR Revision are analyzed for the composition of KCR4 Revision. Based on the results, follows are suggested. 1) Entities are divided into work, expression, manifestation, item, person, family, corporate body, concept, object, event, place. 2) Entire cataloging rules are grouped into 'attributes' and 'relationships', and then 'attributes' is divided into attributes describing and access points constructing. 3) Attributes describing is divided into attributes describing of works, expressions, manifestations, items, persons, families, corporate bodies, and arranged as the sequence. 4) Access points constructing is divided into access points constructing of works, expressions, persons, families, corporate bodies, and arranged as the sequence. 5) 'Relationships' is divided into other relationships between group 1 entities, and relationships between persons, families and corporate bodies.

• Journal of Korean Library and Information Science Society
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• v.54 no.2
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• pp.1-22
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• 2023

In this study, we propose a plan to reflect LRM in various library-related standards or systems through analyzing the reflection of LRM in RDA. To this end, LRM and RDA 2020 were analyzed in terms of entities, relationships, attributes, and encoding schemes. First of all, for the mapping of entities, relationships, and attributes, all properties and relationships were extracted for each entity of RDA, LRM elements corresponding to each property and relationship were found and mapped, and encoding schemes were additionally compared. As a result, the things to consider in the standards and systems to which LRM is to be applied are: first, entities development considering the LRM hierarchy; second, new relation or shortcut path relation development; third, attributes expansion according to the entities considering the LRM hierarchical structure, and fourth, the development of various encoding scheme. Through this study, it will be possible to find an application plan using the application of RDA as a model in standards or systems to accept LRM.

• The Korean Journal of Applied Statistics
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• v.10 no.2
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• pp.261-274
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• 1997

Most of the data sets to which the conventional discriminant rules have been applied contain only those which belong to one and only one class among the classes of interest. However the extension of the bivalence to multivlaence like Fuzzy concepts strongly influence the traditional view that an object must belong to only class. Thus the goal of this paper is to develop new discriminant rules which can handle the data each object of which may belong to moer than two classes with certain degrees of belongings. A calibration model is used for the relationship between the feature vector of an object and the degree of belongings and a Bayesian inference is made with the Metropolis algorithm on the degree of belongings when a feature vector of an object whose membership is unknown is given. An evalution criterion is suggested for the rules developed in this paper and comparision study is carried using two training data sets.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.533-553
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• 2016

FRBR family models, which is published from 1998 to 2010, will be restructured in 2016 and the new name of the model is "FRBR Library Reference Model (LRM)." FRBR LRM is a consolidated model based on the legacy FRBR family of conceptual models - FRBR, FRAD, FRSAD and the two ontological models - FRBRCore and FaBio, as well as FRBRoo, the cooperated model with museum field. In this study, therefore, FRBR LRM is analyzed in respect to background information, characteristics of the model, such as user tasks, entities, attributes, and relationships. Experimental adaptation to $prot{\acute{e}}g{\acute{e}}$ for the LRM's entities and relationships is also conducted. Through this test, the differences between the original models and the consolidated model was reviewed and the applicability of the FRBR LRM model to the semantic web is also discussed. From now on, we have to select and modify among the various FRBR related models to meet our information needs. It will be difficult to find only one Implementation Methodology for every information needs.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.787-796
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• 2009

A random coefficient model is applied when times of the repeated measurements are not fixed in experiments with respect to the subjects. The procedures of the inference of a random coefficient model are same as those of a mixed model. Diet experimental data was used for applying the random coefficient model. Various random coefficient models are investigated for the experimental data, and are compared each other. Finally, optimal random coefficient model would be selected. It resulted from the analysis that for the fixed effect factor, the baseline, treatment, height, and time effect were very significant. The treatment effect of the diet foods and exercises were more effective in losing weight than the effect of the diet foods only. The fixed cubic time effect was very significant. The variance components corresponding to the subject effect, linear time effect, quadratic time effect, and cubic time effect of the random coefficients are all positive. When quartic time effect was added as random coefficients the model did not converge. Thus random coefficients up to the cubic terms was considered as the optimal model.