• Journal of the Korean Society for information Management
• /
• v.25 no.1
• /
• pp.149-171
• /
• 2008

Actually a diffusion of a Semantic Web application and utilization are situations insufficient extremely. Technology most important in Semantic Web application is construction of the Ontology which contents itself with characteristics of Semantic Web. Proposed a suitable a Method of Building Web Ontology for characteristics of Semantic Web and Web Ontology as we compared the existing Ontology construction and Ontology construction techniques proposed for Web Ontology construction, and we analyzed. And modeling did Ontology to bases to Description Logic and the any axiom rule that used an expression way of SWRL, and established Inference-based Web Ontology according to proposed ways. Verified performance of Ontology established through Ontology inference experiment. Also, established an Web Ontology-based Intelligence Image Retrieval System, to experiment systems for performance evaluation of established Web Ontology, and present an example of implementation of a Semantic Web application and utilization. Demonstrated excellence of a Semantic Web application to be based on Ontology through inference experiment of an experiment system.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.29 no.4
• /
• pp.335-345
• /
• 2016

It has problems to use the existing construction information classification system as the bridge breakdown structure due to lack of relationships between element classes. In this study, we proposed the bridge breakdown system for supplementation of above-mentioned classification system. The proposed system, for geometric information modeling, was based on international standards of methodology for structuring part families namely PLIB Part 42. In particular, the breakdown system, considering of the functional classification for the semantic information of the elements is included. In addition, we proposed a basic framework for actual modeling using bridge breakdown system and showed that it can be used in practice.

• The Journal of Society for e-Business Studies
• /
• v.18 no.1
• /
• pp.165-189
• /
• 2013

Conceptual modeling is a critical activity for developing successful business information systems. The objective of this study is to evaluate the possibility of applying the constant comparison method from the grounded theory to conceptual modeling. To achieve the objective, we trained novice modelers and split them into two groups for evaluation. The experimental results show that applying the constant comparison method could increase acceptability from more experienced conceptual modelers. Moreover, while the control group was experienced difficulties when domain knowledge is unfamiliar, the experimental group could handle difficulties more effectively. In addition, applying the constant comparison method also decreased the time to complete analysis for conceptual modeling.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.07b
• /
• pp.25-27
• /
• 2005

시맨틱웹의 목적은 메타데이터의 개념을 적용하여 웹문서에 시맨틱 정보를 덧붙여, 웹에 있는 정보를 컴퓨터가 이해할 수 있도록 하는 것이다. 이를 가능하게 해주는 핵심 기술로 웹 온톨로지 언어 (OWL : Ontology Web Language)를 들 수 있다. 그러나 온톨로지 언어가 표현하는 객체들과 그들 사이의 관계는 복잡한 논리들로 얽혀 있어 언어에 익숙하지 않은 사람에게는 온톨로지 개발이 쉽지 않다. 본 논문은 개념 모델링을 위한 방법으로 가장 잘 알려진 EER 모델링만으로 복잡한 논리적 구조로 인해 작성하기 어려운 OWL 코드를 자동 생성하는 편집 도구를 설계한다. 특히 전자 카탈로그 도메인에 특화하여 자주 요구되는 특수한 개념들에 대한 모델링 요소를 추가하여 표현할 수 있게 하였다. 이는 온톨로지 개발자들의 시간과 어려움을 크게 감소시킬 것이며, 상품온톨로지 제작에 특히 유용할 것이다.

• Journal of the Korean Society for information Management
• /
• v.28 no.3
• /
• pp.123-139
• /
• 2011

Context-awareness as a key technology of ubiquitous computing needs a context model that understands and processes situational information coming from diverse sensors and devices, and can be applied diversely in various domains. Semantic web based ontologies use structured standard format and express meaning of information, so it is possible to recognize effectively context-awareness situations, allowing the system to share information and understand situation by inference. In this paper, we propose a layered ontology model to support generality and scaleability of the context-awareness system, and applied the model to u-Convention domain. In addition, we propose a effective reasoning method to handle compound situation by combining OWL-DL and SWRL rules.

• 한국IT서비스학회:학술대회논문집
• /
• 2008.05a
• /
• pp.431-436
• /
• 2008

지난 몇 년 동안 컴퓨터 네트워크에는 다음과 같은 중요한 일이 발생하였다. 장치 대 장치, 기계 대 기계의 통신이 컴퓨터 네트워크에서 주요한 이슈로 떠오른 것이다. 그 중에 가장 눈에 띄는 주제 중 하나인 WSN에 속한 RFID이다. 이 RFID와 WSN의 통합에 대한 아이디어는 퍼베이시브 컴퓨팅에서 나오게 되었다. RFID와 WSN은 퍼베이시브 컴퓨팅의 주요 요소이고, 이 두 가지 기술은 현실 세계와 가상 세계를 묶어주는 역할을 한다. 하지만 RFID와 WSN은 각각 병렬적으로 개발되고 있으며, 비즈니스 애플리케이션의 통합을 위해서는 자세한 규칙과 방법들이 연구되어야 한다. 본 논문에서는 RFID와 WSN가 통합된 비즈니스 도메인을 위한 시스템 아키텍처 프레임워크 모델링을 제안한다. RFID와 WSN을 동시에 이용해서 SCM을 관리하는 것이다. 이를 위해서 RFID와 WSN, 각각의 기술에 대한 요소를 제안한다. 본 논문에서는 그래픽 모델링 환경(GME)을 이용해서 비즈니스 도메인을 위한 시스템 아키텍처 프레임워크 모델을 만든다.

• The Journal of the Korea Contents Association
• /
• v.19 no.2
• /
• pp.147-158
• /
• 2019

The Korean food, which has been attracting attention only as a unique culture of Korea, has become popular in the world market by being used as a material of Korean Wave and me-media. The systematic organization of knowledge for recipes and related information can highlight the value of Korean food. It will serve as a basis for improving the reusability of Korean food contents through expanded and limited search and effective browsing. This study purports to design an ontology for establishing Korean food knowledge structure. Ontology modeling is based on OWL. Vocabularies of Korean food were examined based on 32 volumes of Korean food information, and data elements were extracted by analyzing five domains and applications. As a result, the study derived classes and properties, and proposed an indexing example.

• The Journal of Society for e-Business Studies
• /
• v.9 no.3
• /
• pp.243-258
• /
• 2004

Building a domain-suited ontology, as a means to implement the Semantic Web, is widely believed to offer users the benefit of exploiting the semantic knowledge constrained in the application. Electronic Catalog, shortly e-Catalog, manages the information about the goods or conditions play an important role in e-commerce domain. Consequently, semantically enriched yet precise information by the ontology may elaborate the business transactions. In this paper, we analyze the semantic relationships embodied within the catalog domain, as the first step towards the ontological modeling of e-catalog. Exploring ontology should leverage not only the representation of semantic knowledge but also provide the inferencing capability for the model. We employ the EER(extended Entity Relationships) for the basic model. Each modeling construct can be directly translated by DL(Description Logics). Semantic constraints that can be hardly represented in EER are directly modeled in DL.

• The KIPS Transactions:PartD
• /
• v.13D no.7 s.110
• /
• pp.947-958
• /
• 2006

In order to increase extensibility and reusability of business components, the variable things need to be analyzed from the analysis phase and identified as components. In this paper, we propose a rule-based analysis pattern, which can effectively extract object-based main concepts from a variable business process in the analysis phase and identify a variable business component by applying the pattern to the UML Components development process. It can make analysis artifacts consistent and readable for analysts with different level of knowledge and experience to apply the pattern to analysis of rule-based variable business processes. And also, variable business components can be easily identified by applying the pattern to the UML Components development process. In order to prove the feasibility of the pattern, we have applied the pattern the deposit and import/export subsystem of the banking domain. According to our experience, we can make the same business conceptual models between the deposit and import/export subsystem due to the main concepts suggested by the pattern and effectively identify a variable business components in the UML Components development process.

• Phonetics and Speech Sciences
• /
• v.12 no.2
• /
• pp.29-37
• /
• 2020

Recently, the neural network-based deep learning algorithm has dramatically improved performance compared to the classical Gaussian mixture model based hidden Markov model (GMM-HMM) automatic speech recognition (ASR) system. In addition, researches on end-to-end (E2E) speech recognition systems integrating language modeling and decoding processes have been actively conducted to better utilize the advantages of deep learning techniques. In general, E2E ASR systems consist of multiple layers of encoder-decoder structure with attention. Therefore, E2E ASR systems require data with a large amount of speech-text paired data in order to achieve good performance. Obtaining speech-text paired data requires a lot of human labor and time, and is a high barrier to building E2E ASR system. Therefore, there are previous studies that improve the performance of E2E ASR system using relatively small amount of speech-text paired data, but most studies have been conducted by using only speech-only data or text-only data. In this study, we proposed a semi-supervised training method that enables E2E ASR system to perform well in corpus in different domains by using both speech or text only data. The proposed method works effectively by adapting to different domains, showing good performance in the target domain and not degrading much in the source domain.