• 한국CDE학회논문집
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• 제13권3호
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• pp.163-174
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• 2008

In this paper, for integrating of data on car parts we model information of parts that PDM system manages. Ontology of car parts applies existing ontology mapping research to integrate into car ontology. We propose a method for semantic integration of PLM object of MEMPHIS based on the integrated ontology. Through our method, we introduce C# ontology model to apply existing C# applications with ontology. We also classify ontology integration into three through examples and explain them. While semantically integrating PLM objects based on the integrated ontology, we explain the need for change of PLM object type and describe the process of change for PLM object type by examples.

• 한국멀티미디어학회논문지
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• 제10권6호
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• pp.754-759
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• 2007

Methodology of ontology building based on Web resources will not only reduce significantly the ontology construction period, but also enhance the quality of the ontology. Remarkable progress has been achieved in this regard, but they encounter similar difficulties, such as the Web data extraction and knowledge acquisition. This paper researches on the characteristics of ontology construction data, including dynamics, largeness, variation and openness and other features, and the fundamental issue of ontology construction - formalized representation method. Then, the key technologies used in and the difficulties with ontology construction are summarized. A software Model-OntoMaker (Ontology Maker) is designed. The model is innovative in two regards: (1) the improvement of generality: the meta learning machine will dynamically pick appropriate ontology learning methodologies for data of different domains, thus optimizing the results; (2) the merged processing of (semi-) structural and non-structural data. In addition, as known to all wetland researchers, information sharing is vital to wetland exploitation and protection, while wetland ontology construction is the basic task for information sharing. OntoMaker constructs the wetland ontologies, and the model in this work can also be referred to other environmental domains.

• 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.

• 한국컴퓨터정보학회논문지
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• 제11권2호
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• pp.7-13
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• 2006

시멘틱 웹의 대두로 인해 웹 상에서 데이터를 접근 할 수 있는 방법도 다양화 되었다. 이에 현재 진행되고 있는 웹 온톨로지 뿐만 아니라 기존에 구축된 지식베이스 시스템에 접근하여 데이터를 핸들링 할 수 있는 모델이 필요하다. 웹 온톨로지를 표현하기 위한 언어로 RDF(Resource Description Framework), DAML-OIL, OWL(Web Ontology Language)등이 사용되고 있다. 본 논문은 웹 온톨로지와 기존의 구축된 지식 베이스의 데이터를 접근, 표현 및 처리할 수 있는 온톨로지 객체 모델의 생성과 그 방법에 관한 것이다. 웹 온톨로지에 대한 접근 방법으로 각각의 언어에 맞는 파서(Parser)를 이용하여 메모리 상에 모델을 생성하여 접근하게 되어 있는 기존의 방법과는 다르게 본 논문에서는 웹 온톨로지를 표현하기 위한 모델을 계층별로 구별하여 프레임 기반의 상위 온톨로지(frame-based ontology layer), 다른 도메인에서도 사용이 가능한 공통된 어휘(vocabulary)를 표현한 핵심 온톨로지(generic ontology layer)와 각각의 온톨로지 언어에 의존적인 어휘를 표현한 기능 온톨로지(functional ontology layer)로 구성한다. 이는 표현의 중복을 없애고 재 사용성을 높이기 위한 모델을 제공함으로써, 외부 어플리케이션(온톨로지 추론, 온톨로지 병합, 온톨로지 저작 도구 등)에서의 온톨로지에 대한 쉬운 지식 표현과 접근 및 핸들링을 제공할 수 있다.

• 한국IT서비스학회지
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• 제10권4호
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• pp.269-280
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• 2011

Mobile Augmented Reality (mobile AR), as one of the most prospective mobile applications, intends to provide richer experiences by annotating tags or virtual objects over the scene observed through camera embedded in a handheld device like smartphone or pad. In this paper, we analyzed the current status of the art of mobile AR and proposed a novel Points of Interest (POIs) data model based on ontology to provide context-aware information retrievals on lots of POIs data. Proposed ontology was expanded from the standard POIs data model of W3C POIs Working Group and established using OWL (Web Ontology Language) and Protege. We also proposed a context-aware mobile AR platform which can resolve three distinguished issues in current platforms : interoperability problem of POI tags, POIs data retrieval issue, and context-aware service issue.

• 대한한의진단학회지
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• 제14권2호
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• pp.51-66
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• 2010

Objectives: In this study, diagnosis of an ontology-based electronic chart system works by presenting a model electronic chart system is contributing to the standardization and objectification in Oriental Medicine field. Methods: The clinic is currently used in the electronic chart, and use surveys and research utilization was diagnosed. In addition, the symptoms with medicines, prescriptions, patterns ontology data, information, relationships between the association was derived. electronic chart the flow of information from the input data stream was defined using the ontology. Medicines, prescriptions, patterns diagnosis ontology, using the process model presented in the electronic chart. Results: This study show that interoperable model within the diagnostic capabilities of the electronic chart system in Oriental Medicine and represent diagnosis process in the system with symptoms. Conclusions: Diagnosed with symptoms of ontology integration with electronic chart to study the model was placed goal. Diagnosis and prescription due to strong associative connection implies an ontology can be seen even more important. Diagnostic elements will be added to enhance the diagnostic capabilities in the electronic chart can be varied and objective diagnostic model can be presented. This study extends the range for the CDSS, and new areas of research can be presented.

• 정보화연구
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• 제10권2호
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• pp.263-271
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• 2013

본 논문에서는 OWL 형식으로 작성된 온토롤지 스키마를 데이터베이스에 의해 효율적으로 관리하기 위한 XMDR 기반의 데이터 모델을 제안하였다. 제안 모델은 기존의 ISO/IEC 11179에 의한 MDR 데이터 모델에서 관리하기 어려운 개념간의 관계를 효과적으로 관리할 수 있는 모델이다. 또한 온톨로지 스키마를 데이터베이스에 의해 관리하기 위한 알고리즘을 제시하였다. 본 연구에서 제시한 알고리즘의 효율성을 입증하기 위하여 OWL 표현력에 따른 다양한 형태의 온톨로지 스키마를 데이터베이스에 자동으로 저장하고, 원래의 OWL 문서를 재생성하는 실험을 진행하였다. 실험 결과, 제안 모델에 의해 OWL 형식으로 표현된 다양한 형태의 온톨로지 스키마를 효과적으로 관리할 수 있음을 보였다.

• Journal of Information Processing Systems
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• 제16권2호
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• pp.261-276
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• 2020

Digital contents services are one of the topics that have been intensively studied in the media industry, where various semantic and ontology techniques are applied. However, query execution for ontology data is still inefficient, lack of sufficient extensible definitions for node relationships, and there is no specific semantic method fit for media data representation. In order to make the machine understand digital contents (DCs) data well, we analyze DCs data, including static data and dynamic data, and use ontology to specify and classify objects and the events of the particular objects. Then the formal representation method is proposed which not only redefines DCs data based on the technology of OWL/RDF, but is also combined with media segmentation methods. At the same time, to speed up the access mechanism of DCs data stored under the persistent database, an ontology-based DCs query solution is proposed, which uses the specified distance vector associated to a surveillance of semantic label (annotation) to detect and track a moving or static object.

• Journal of Information Technology Applications and Management
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• 제19권2호
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• pp.39-57
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• 2012

Business environment goes through an unprecedented massive shift that has never happened before. For that reason, business models have to be designed to considering the changed environments. This study develops a business model for independent business to build an ontology system. The system has potentials to improve existing independent business models and to provide more detailed and precise information for users as relevant data accumulates. The ontology system helps independent business meet market demands, generate income for founders, and increase society-wide income levels. The results of the study provides insights to build ontology systems for new starting enterprises running their business.

• 한국안전학회지
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• 제32권5호
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• pp.179-185
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• 2017

Accident analysis is an essential process to make basic data for accident prevention. Most researches depend on survey data and accident statistics to analyze accidents, but these kinds of data are not sufficient for systematic and detailed analysis. We, in this paper, propose an accident classification model that extracts task type, original cause materials, accident type, and the number of deaths from accident reports. The classification model is a support vector machine (SVM) with word occurrence features, and these features are selected based on mutual information. Experiment shows that the proposed model can extract task type, original cause materials, accident type, and the number of deaths with almost 100% accuracy. We also develop an accident ontology to express the information extracted by the classification model. Finally, we illustrate how the proposed classification model and ontology effectively works for the accident analysis. The classification model and ontology are expected to effectively analyze various accidents.