• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.11b
• /
• pp.1109-1112
• /
• 2003

시맨틱 웹은 웹 상의 정보에 의미를 부여하여 컴퓨터가 문서의 의미를 해석할 수 있도록 하기 위한 목적으로 제안된 것이다. 시맨틱 웹의 잘 정의된 의미를 다루기 위해서 RDF/RDFS, DAML+OIL, OWL 등의 웹 온톨로지 언어가 필요하다. 본 논문에서는 시맨틱 웹에서 사용되는 온톨로지 문서들을 이용하는 온톨로지 기반 지식 엔진 시스템에서 코어 엔진의 Ontology Access Layer에 해당되는 부분으로 웹 온톨로지 문서를 읽어서 Ontology Object Model로 생성해주는 기능을 하는 온톨로지 파서를 설계하였다. 논문에서 설계한 온톨로지 파서는 RDF, DAML+OIL, OWL 웹 온톨로지 문서들을 파싱하여 Ontology Object Model 을 생성한다. 그리고 파싱에 필요한 API를 제공해주며 문서를 읽고 저장해준다. 온톨로지 문서들의 Triple 값을 필요로 하는 시스템을 위해서 문서들의 Triple 형태의 결과 값도 제공해준다.

• Industrial Engineering and Management Systems
• /
• v.9 no.1
• /
• pp.1-9
• /
• 2010

Increasing product variety based on product family and product platform provides a company with a competitive advantage over its competitors. As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative and coordinating efforts for information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. Formal Concept Analysis (FCA) is used for analyzing data and forming semantic structures that are formal abstractions of concepts of human thoughts. A Web Ontology Language (OWL) is designed for applications that need to process the content of information instead of simply presenting information to humans. OWL also captures the evolution of different components of the product family. The purpose of this paper is to develop product variety modeling to increase the usefulness of common platform. In constructing and analyzing product ontology, FCA is adopted for conceptual knowledge processing. For the selected product family, product variety Ontology is constructed and implemented using prot$\'{e}$g$\'{e}$-2000.

• Journal of information and communication convergence engineering
• /
• v.21 no.4
• /
• pp.306-315
• /
• 2023

This study proposed an SCA advice system. It is an ontology-based recommender that provides advice on appropriate computer curricula based on the behavior of high school students. The three computer curricula at Chiang Mai Rajabhat University include computer science (CS), information technology (IT), and web programming and security (WEB). This study aims to design the ontology framework for an SCA advice system. The system considers three core ontologies: student, computer-curriculum, and advice. After analyzing student behaviors, the behavior types of CS, IT, and WEB were determined to be SB-2, SB-1, and SB-5, respectively. All subjects in these three curricula were analyzed and grouped into seven groups. Their curricula were synthesized in terms of basic skills, basic knowledge, and characteristics. Finally, advice results can be obtained by consolidating the curriculum nature of the CS, IT, and WEB curricula.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.24 no.6
• /
• pp.1111-1116
• /
• 2010

We in this paper design and implement a traditional korean medicine diagnosis system based on basic ontology. If doctors put the symptoms or tongues or pulses of a patient in the diagnosis system, they can be recommended for the diagnosis results. To support the doctors decision, the diagnosis system make the inference based on the basic ontology and compute the similarity between symptoms of patient and those of ontology. The diagnosis systems also provide the learning mechanism about diagnosis results which save the results in the ontology and reuse them in the next diagnosis. Thus, doctors can share their knowledge for the diagnosis by exchanging their ontology each other. In future, we will expand the knowledge of the basic ontology continuously so that doctors can get the more accurate diagnosis results. We also implement the prescription function and integrate it to the diagnosis system.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.3
• /
• pp.328-335
• /
• 2007

Ontology is represented by the shared concepts and relations among those. Many studies have been actively working on sharing human's knowledge with that of systems by using it. For a typical example, there is the design and implementation of ontology system for image understanding. However conventional studies on ontology-based image understanding have proposed not concrete methods but conceptual idea. In this paper, we propose an ontology-based image understanding system with following four processes: i)knowledge representation of a specific domain by the ontology, ii)feature extraction of objects through image processing and image analysis, iii)image interpretation by object features, and iv)reduction of ambiguity existing in image interpretation by ontology reasoning. We implement an image understanding system based on the proposed processed, and show the effectiveness of the proposed system from experimental results in a specific domain.

• Journal of Intelligence and Information Systems
• /
• v.11 no.2
• /
• pp.31-45
• /
• 2005

In this paper, convert in RDF triple and a RDF document through RDF document converters and design metadata schema about a digital camcorder after use Wrapper technology, and acquiring commodity information of a HTML page about the digital camcorder which these papers are defined so as to be different by electronic commerce stores, and is expressed. Save in digital camcorder domain ontology storage that implemented to relational database to DCC knowledge base ontology as convert to OWL Web ontology based on designed metadata schema. Through compare with rdf and DCCKBO, mapping, and inference process, provide to buyers by DCC information of the store that had the commodity purchasing information which is the best, and proposed a dynamic Web ontology guessed to contents of the best commodity purchasing information, and to define domain ontology saved in DCCKBO.

• International Journal of CAD/CAM
• /
• v.5 no.1
• /
• pp.99-109
• /
• 2005

This paper introduces an approach to an ontology-based multi-level knowledge framework for a knowledge management system for discrete-product development. Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects: therefore, we suggest an ontology-based multi-level knowledge framework (OBMKF). The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so ambiguity can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain knowledge and guides the engineer to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and manufactured item level, according to the various viewpoints. The top level is specialized knowledge for a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of knowledge and is represented with first-order logic to maintain a uniform representation.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.3
• /
• pp.310-315
• /
• 2007

When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a u!;or preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or non-spam in a meaningful way. We also suggest a nor rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.

• The KIPS Transactions:PartD
• /
• v.14D no.2
• /
• pp.203-210
• /
• 2007

Ontology can be used as a formal and demonstrative knowledgebase that can express the thinking process of human. Software Development Process is a collection of ideal practices and procedural system that is performed by mature organization with high capability. Due to complexity of process, however, Software development Process often results in obstruction of introducing and improving simple process activity. While introducing and improving software development process, application of ontology to complex software development process is more approachable by showing deductive results of relationship between ISO/IEC 15504 and CMMI. In this paper, we demonstrate a methodology that utilizes the improved process database conceptually mapping between ISO/IEC 15504 and CMMI using ontology.

• Journal of Korean Society of Archives and Records Management
• /
• v.15 no.4
• /
• pp.99-123
• /
• 2015

The study aims to present authenticity ontology required for capturing information about digital record's identity and integrity over the course of the lifecycle. To this end, we analyzed the functional requirements, domain model, and sample properties of the IPAM (InterPARES Authenticity Metadata), Based on IPAM, we proposed an ontology for authenticity of digital records with sample records. The suggested ontology modeling can be utilized as the basis for establishing an authenticity information creation and management tool for digital records.