• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.302-309
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• 2004

·Catalogs -information about products and services -Contents ＋ Classification Schema ＋ Operational Issues ·What do we do with them？ -[Schulten, et a;, 2001] ‥Narrow down search for complete set of applicable products ‥Comprehend individual description to the precision needed -Support other applications that use product information ‥SCM, ERP, e-Procurement, etc. ·Catalog Management System -Design, storage, navigation ＆ retrieval, transformation, communication, publication(omitted)

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.560-562
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• 2003

시멘틱 웹상에서는 정보 리소스들이 서로 의미적으로 연결되어. 이를 컴퓨터가 처리할 수 있다. Resource Description Framework (RDF)는 이런 의미적 연결성을 제공한다. 시멘틱 웹이 발전하기 위해서는 RDF 데이터를 효율적으로 관리하기 위한 방법이 매우 중요하다. 본 논문에서는 RDF 데이터를 XML 데이터베이스 시스템에 저장하고 이를 검색하는 기법을 제안한다 XML 데이터베이스 시스템을 사용함으로써 XML 데이터와 RDF 데이터를 통합적이고 효율적으로 관리할 수 있다. 또한. 효율적인 검색 방법과 성능을 향상시킬 수 있는 방법들을 제안하고 있다. 논문에서 제안한 질의 처리 기법은 기존 연구 보다 나은 성능을 보여준다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.539-541
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• 2003

본 논문에서는 컨텐츠 사이트에서 디지털 컨텐츠를 보호하기 위하여 사용자 행동 패턴을 분석을 이용해 특이한 성향을 보이는 사용자를 탐지하기 위한 모델을 제시하였다. 사용자의 행동 패턴을 분석하기 위한 탐지 규칙(detection rule)으로 Syntactic Rule과 Semantic Rule을 정의하였다. 사용자 로그 분석 결과 탐지 규칙에 대한 위반 정도가 일정 범위를 벗어나는 사용자를 비정상적인 사용자로 추정하였다. 또한 제안 모델은 eCRM 시스템에서 이탈 가능성이 있는 고객 집단을 사전에 탐지하여 고객으로 유지하기 위한 promotion 전략 수립에 응용될 수 있다.

• Journal of Industrial Convergence
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• v.4 no.2
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• pp.3-18
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• 2006

The purpose of this study was to investigate the correlation of aesthetics factors and purchasing contribution for cellular phone(CP). and to forecast the developing possibility of the CP market. In order to conduct this study, SKIM-8100, Anycall SCH-V500, and Cyon SV-520 were selected. Then, 20 aesthetics adjectives of the CP were extracted and analyzed by Semantic Defferential(SD) Method. Also, SPSS was used for the statistic methods.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.65-73
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• 2017

The objective of this study is to suggest the templates for the terminology standardization cases of safety standard on integrated management system, so that integrated management of safety standards is introduced to replace redundant, or conflicting functions and performance of these standards. And to carry out the terminology standardization enables management efficiently. Therefore this study suggests and analyzes cases of terminology standardization of domestic and international research trends. In addition to proposes a architectural schema for disaster safety standard and writing disaster safety standardizations of the International Organization for Standardization. For the objectives, the guidelines on standard terminology policy, terminology publication and guide development proposed by the International Organization for Standardization. Disaster safety standards were applied in order to build and utilize integrated management system of disaster safety standards through domestic and foreign cases. Throughout the result of this study, this study will contribute to the analysis and application of semantic knowledge based analysis throughout the ontology information linked the vocabulary to vocabulary by making the template of the disaster safety standards for easy to use and simple etc. This study is to expect traceability for the principle national disaster safety standards resource elements.

• The Transactions of the Korea Information Processing Society
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• v.2 no.4
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• pp.443-452
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• 1995

Object-oriented database systems have been proposed as an effective solution for providing the data management facilities of complex applications. Proving this claim and the investigation of related issues such as query processing have been hampered by the absence of a formal object-oriented query model. In this paper, we not only define a query model based on aggregation inheritance but also develop semantic rewriting rules which are applied to equivalence preserving rewrite rules in algebraic expression of a query. Analyzing semantically the query model, the query model can be optimized to logically object-oriented query processing. And algebra expresstions of a query can be optimized by applying equivalence preserving rewrite rules.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.6
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• pp.2527-2545
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• 2016

Measuring the similarity of given samples is a key problem of recognition, clustering, retrieval and related applications. A number of works, e.g. kernel method and metric learning, have been contributed to this problem. The challenge of similarity learning is to find a similarity robust to intra-class variance and simultaneously selective to inter-class characteristic. We observed that, the similarity measure can be improved if the data distribution and hidden semantic information are exploited in a more sophisticated way. In this paper, we propose a similarity learning approach for retrieval and recognition. The approach, termed as LDA-FEK, derives free energy kernel (FEK) from Latent Dirichlet Allocation (LDA). First, it trains LDA and constructs kernel using the parameters and variables of the trained model. Then, the unknown kernel parameters are learned by a discriminative learning approach. The main contributions of the proposed method are twofold: (1) the method is computationally efficient and scalable since the parameters in kernel are determined in a staged way; (2) the method exploits data distribution and semantic level hidden information by means of LDA. To evaluate the performance of LDA-FEK, we apply it for image retrieval over two data sets and for text categorization on four popular data sets. The results show the competitive performance of our method.

• Korean Journal of Oriental Medicine
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• v.16 no.2
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• pp.91-99
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• 2010

In this paper, we designed and implemented a semantic social network system in Korea Institute of Oriental Medicine (abbreviated as KIOM). Our social network system provides the capabilities such as tracking search, ontology reasoning, ontology graph view, and personal information input, update and management. Tracking search provides the search results by the research information of relevant researchers using ontology, in addition to those by keywords. Ontology reasoning provides the reasoning for experts, mentors, and personal contacts. Users can easily browse the personal connections among researchers by traversing the ontology by graph viewer. These allows KIOM researchers to search other researchers who could aid the researches and to easily share their research information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1424-1440
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• 2015

It is a challenging problem to search the intended images from a large number of candidates. Content based image retrieval (CBIR) is the most promising way to tackle this problem, where the most important topic is to measure the similarity of images so as to cover the variance of shape, color, pose, illumination etc. While previous works made significant progresses, their adaption ability to dataset is not fully explored. In this paper, we propose a similarity learning method on the basis of probabilistic generative model, i.e., probabilistic latent semantic analysis (PLSA). It first derives Fisher kernel, a function over the parameters and variables, based on PLSA. Then, the parameters are determined through simultaneously maximizing the log likelihood function of PLSA and the retrieval performance over the training dataset. The main advantages of this work are twofold: (1) deriving similarity measure based on PLSA which fully exploits the data distribution and Bayes inference; (2) learning model parameters by maximizing the fitting of model to data and the retrieval performance simultaneously. The proposed method (PLSA-FK) is empirically evaluated over three datasets, and the results exhibit promising performance.

• Journal of Korean Library and Information Science Society
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• v.36 no.3
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• pp.275-289
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• 2005

In this paper, the conceptual model for bibliographic Information consistent and compatible with MARC is presented. The modeling requirements are derived from MARC-related models such as MARC21, MARCXML and MODES. To meet these requirements, this paper proposes the conceptual model based on MARC formalism. The model composed with aggregation relationships among bibliographic data elements can use semantic tags of XML. As the model can be realized into diverse structures, it will be effectively applied for the development of bibliographic information management systems. Since MARC defines only record format and has the limitations in semantic representation, the metadata system that can expand bibliographic data elements in MRAC into metadata level is strongly required.