• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.1297-1300
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• 2003

본 논문은 웹 온톨로지 데이터를 접근, 표현 및 처리 할 수 있는 온톨로지 객체 모델을 생성하기 위한 시스템이다. 시멘틱 웹의 대두로 인해 웹 상에 존재하는 데이터의 특성에 따라서 접근 할수 있는 방법도 다양화 되었다. 이에 웹 상에서 산재되어 있는 지식들을 가져와 각 도메인에 맞게 새로운 온톨로지를 생성하고 서로 다른 언어로 표현된 온톨로지를 계층 어휘들을 이용하여 시멘틱웹 환경에서 지식을 처리하기 위해 웹 온톨로지를 구축하고 처리할 수 있는 온톨로지 객체 모델을 제공하고, 온톨로지 객체 모델 API를 통해 외부 어플리케이션과의 정보를 교환한다. 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 구성하여 표현의 중복을 없애고 재 사용성을 높이기 위한 모델을 제공함으로써, 온톨로지 추론, 병합 및 저작 도구 등의 외부 어플리케이션이 온톨로지 객체 모델에 손쉽게 접근할수 있고, 온톨로지에 대한 쉬운 지식 표현 및 핸들링을 제공할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.393-396
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• 2004

유비쿼터스 환경은 어디서든지 항상 컴퓨터 액세스가 가능한 세계를 뜻한다. 유비쿼터스 환경에서의 멀티 에이전트들은 객체들의 상황을 인지하고 그 상황에 따르는 이벤트 메시지를 서로 전달한다. 본 논문은 유비쿼터스 환경에서 각 개인의 위치를 인지하여, 최적의 환경을 만들어주기 위한 온톨로지 기반의 멀티 에이전트 시스템을 제안하고 다음 두 가지 부분의 중점을 두어 시스템을 설계하였다. 첫째, 각 객체의 위치와 상황을 인지하는 센서기반의 상황인지 시스템을 이용하여 이벤트 메시지를 서로 주고받는 온톨로지 기반 에이전트들을 설계한다. 둘째, 각 객체의 현재 상황과 위치를 기준으로 객체에 맞는 이벤트를 추론하는 추론 엔진을 설계한다.

• 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.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.437-448
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• 2004

This paper presents an approach to the development of bio-ontology using the Object-oriented Ontology Manager(OOM). OOM views a term of an ontology as an object which can be an instance or a concept. OOM facilitates the semi-automatic construction of ontologies by an intuitive interface and by inferencing with links among complicated and informative ontology terns. The main advantage of OOM is simple-to-use not compromising expressiveness so that ontologies in a complicated domain such as bioinformatics can be modeled intuitively. The ontologies constructed by OOM are easily exported to ontologies in other ontology languages without semantic loss because the structures of both the ontology by OOM and the ontologies in most of standard ontology languages are analogous. A translator to another standard ontology language is also provided by OOM so that the ontology can be combined with others to be applied to more complicated applications.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.4
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• pp.146-157
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• 2009

In order to implement ontology data searching system, this paper uses some methods that effectively analyse searching options/key words with event process model and design pattern. I will propose some techniques on object-oriented process model that should improve reusability of system and reusability of ontology data which users can obtain more precise searching results. This paper shows that ontology-based data searching can assure users of the precision of searching results. Therefore, ontology-based data searching system on object-oriented design pattern is expected to show high stability and reliability, enhance reusability and scalability of modules and softwares and provide reliable data searching results to users.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.573-576
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• 2004

시맨틱 웹에 이용되는 웹 온톨로지 언어들로는 RDF/RDFS, DAML+OIL, OWL 등이 있으며, 현재 W3C에서는 OWL을 웹 온톨로지 표준 언어로 삼고 있다. 기존의 웹 온톨로지 문서들의 파서는 대부분 RDF를 기반으로 한 Triple 모델을 기반으로 하여 파싱한다. 그러나 OWL의 경우는 triple 형태로 변환시키면 OWL Full의 형태를 가지게 되고 OWL 온톨로지의 표현력과 데이터의 손실을 가져오게 된다. 따라서 OWL 문서의 파싱을 위하여 우리는 OWL Abstract Syntax를 이용하여 Tree 모델을 가지는 OWL 파서를 만들고자 한다. 본 논문에서는 시맨틱 웹에서 사용되는 웹 온톨로지들을 파싱하여 온톨로지 객체 모델을 생성해주는 기능을 가지는 온톨로지 파서를 설계, 구현하였다. 논문에서 설계한 온톨로지 파서는 RDF, DAML+OIL, OWL 웹 온톨로지 문서들을 파싱하여 온톨로지 객체 모델을 생성할 때, RDF 온톨로지의 경우는 Triple 모델 형태로 파싱을 하지만, OWL 온톨로지의 경우에는 OWL Abstract Syntax Tree 모델 형태로 파싱한 후, OOM으로 변환시켜준다. 이를 위해 웹 온톨로지 언어의 종류 구분과 OWL 온톨로지의 경우, OWL Full, OWL DL, OWL Lite의 서브 타입을 구별하는 기능도 추가하였다.

• Journal of KIISE
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• v.44 no.3
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• pp.287-294
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• 2017

With the personal-media development that has emerged through various means such as UCC and SNS, many media studies have been completed for the purposes of analysis and recognition, thereby improving the object-recognition level. The focus of these studies is a classification of media that is based on a recognition of the corresponding objects, rather than the use of the title, tag, and scripter information. The media-classification task, however, is intensive in terms of the consumption of time and energy because human experts need to model the underlying media ontology. This paper therefore proposes an automated approach for the modeling of the media-classification ontology schema; here, the OWL-DL Axiom that is based on the frequency of the recognized media-based objects is considered, and the automation of the ontology modeling is described. The authors conducted media-classification experiments across 15 YouTube-video categories, and the media-classification accuracy was measured through the application of the automated ontology-modeling approach. The promising experiment results show that 1500 actions were successfully classified from 15 media events with an 86 % accuracy.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.760-765
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• 2009

Since the features in object-images such as color and shape cannot clearly express the characteristic of objects, those features lead to vagueness of object-image recognition. Recently there have been studied on object-image recognition based on knowledge base in order to reduce the vagueness. However, because images are represented by numerical information but knowledge bases are represented by conceptual information, combining two kinds of information is difficult. In this paper, we compose knowledge base by using ontology to reduce the gap between the two kinds of information, and propose a method for object-image recognition to reduce the vagueness by using information on inner-object. Moreover, we confirm the usefulness of the proposed method through the experiments on object-image recognition in fruit domain.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.7-13
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• 2006

The advent of Semantic Web has generated several methods that can access the data on the web. Thus, it is necessary to handle the data by accessing the current web ontology as well as the existing knowledge base system. Web ontology languages are RDF(Resource Description Framework), DAML-OIL, OWL(Web Ontology Language), and so on. This paper presents the creation and the method of the ontology object model that can access, represent, and process the web ontology and the existing knowledge base. Unlike the existing access approach of web ontology using the model on memory constructed by each parser, we divide the model of web ontology into three layers such as frame-based ontology layer, generic ontology layer, and functional ontology layer. Generic ontology layer represents the common vocabulary among several domains and functional ontology layer contains the dependent vocabulary to each ontology respectively. Our model gets rid of the redundancy of the representation and enhances the reusability. Moreover, it can provide the easy representation of knowledge and the fast access of the model in the application.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.45-54
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• 2009

The virtual world is simulated in terms of agents and the environment as the real world. Agents are able to perceive and recognize objects as well as components of the environmental elements in the virtual world. As a result, they are able to autonomously act in terms of their decision. They generate diverse situation that make the user to feel familiarity as they would be have like human beings. Such situations are constructed in terms of the concepts of the entities, relations and activities, and agents accordingly recognize the situations in terms of these concepts. In this paper, we propose the method to recognize and represent the shapes which are the most important feature among objects. Various shapes are represented in terms of primitive shapes and their spatial relations in depth. We use distance, direction, and orientation in order to represent basic spatial relation. In order to simplify basic signal processing, objects dynamically send messages of self information to agents, and refer to ontology as the knowledge base of the virtual world. Agents perceive the information from objects by comparing with schematic knowledge and instance knowledge in ontology.