• Journal of Information Processing Systems
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• 제7권1호
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• pp.199-208
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• 2011

This paper describes best-practices in lifting an image metadata standard to the Semantic Web. We provide guidelines on how an XML-based metadata format can be converted into an OWL ontology. Additionally, we discuss how this ontology can be mapped to the W3C's Media Ontology. This ontology is a standardization effort of the W3C to provide a core vocabulary for multimedia annotations. The approach presented here can be applied to other XML-based metadata standards.

• Journal of Information Science Theory and Practice
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• 제10권1호
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• pp.45-58
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• 2022

Community enterprise plays an important role for developing local business. Products from local communities apply local specialties such as high-quality materials and inherited wisdom. This work aims to support merchandises from local community enterprises by bringing out their specialties related to local wisdom and intangible cultural aspects. An ontology is applied to demonstrate the innate information regarding the implicit values of the products and is used as a core for a semantic search system. Details of the products are gathered from their respective community using an interview method and are extracted to align with the developed ontological schema. The semantic search system thus is implemented with a recommendation process for online accessibility for providing the organised information. From evaluation, the developed ontology and its instances are rated highly for their consistency, conciseness, and completeness. In usage, accuracy of the query and recommendation results are evaluated at 97.38% searching accuracy and 85.03% for recommending interesting products.

• Journal of information and communication convergence engineering
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• 제21권4호
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• pp.306-315
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• 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.

• 한국비블리아학회지
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• 제23권1호
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• pp.5-26
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• 2012

FRSAD과 온톨로지 모형간의 연계는 어떠한 정보구현시스템이나 특정 상황에서도 독립적인 상위 계층의 지식구조를 제안하고, 의미 연결, 지식구조, 주제접근, 상호운용성 등을 확보하기 위한 노력이다. FRSAD 모형을 현실적인 정보환경에 적용하고, 도서관 안팎 어디서나 자유롭게 정보를 확인하고 공유하기 위해서는 지식표현 인코딩 체계가 필요하다. 본 연구에서는 웹 온톨로지 언어인 OWL를 사용하여 FRSAD 모형을 온톨로지 구조로 표현하였으며, 이를 확인하기 위해 Prot$\acute{e}$g$\acute{e}$를 사용하여 FRSAD 온톨로지 모형을 시범적으로 구축하였다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제11권3호
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• pp.275-283
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• 2005

시맨틱 웹이나 지식기반 시스템에서 지식 검색의 핵심 컴포넌트는 온톨로지이다. 하지만 현재 실용적인 온톨로지가 구축된 경우를 찾아보기는 어렴다. 실용적인 온톨로지 구축을 위해서는 특정 도메인의 지식 전문가에 의한 지식의 개념화와 온톨로지 설계자에 의한 지식의 명세화가 필요하며 이를 바탕으로 개발 팀원들 사이에 공유할 수 있는 자세한 온톨로지 생성 가이드라인이 필요하다. 그러나 기존의 온톨로지 생성 방법론은 은톨로지 구축 프로세스의 단계들을 상위 수준에서 나열하는 절차 중심의 방법론이다 본 논문에서는 철학 학문의 지식을 구조화하는 실용적인 온톨로지를 구축하는 방법으로서 텍스트 내용에 들어있는 지식을 온톨로지로 생성하는 토픽맵 기반의 덱스트 온톨로지 방법론을 제시하였다. 이 방법론은 지식 자원으로부터 지식을 분석하고 추출하는 온톨로지 모델링 단계와 형식 언어와 데이타 모델을 이용하여 온톨로지를 생성하는 온톨로지 구현 단계로 구성된다. 방법론과 함께 본 논문에서는 철학 온톨로지에 기반한 철학 지식 검색의 효율성을 보이기 위해 철학 지식 포털을 구현하였다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.388-391
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• 2005

The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core biological processes will again be probable orthologues. The structural and functional conservation in these proteins presents both opportunities and challenges. The main opportunity lies in the possibility of automated transfer of protein data annotations from experimentally traceable model organisms to a less traceable organism based on protein sequence similarity. Such information can be used to improve human health or agriculture. The challenge lies in using a common language to transfer protein data annotations among different species of organisms. First step in achieving this huge challenge is producing a structured, precisely defined common vocabulary using Protein Ontology. The Protein Ontology described in this paper covers the sequence, structure and biological roles of Protein Complexes in any organism.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권11호
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• pp.2016-2034
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• 2011

Ubiquitous Healthcare (u-Healthcare) is the intelligent delivery of healthcare services to users anytime and anywhere. To provide robust healthcare services, recognition of patient daily life activities is required. Context information in combination with user real-time daily life activities can help in the provision of more personalized services, service suggestions, and changes in system behavior based on user profile for better healthcare services. In this paper, we focus on the intelligent manipulation of activities using the Context-aware Activity Manipulation Engine (CAME) core of the Human Activity Recognition Engine (HARE). The activities are recognized using video-based, wearable sensor-based, and location-based activity recognition engines. An ontology-based activity fusion with subject profile information for personalized system response is achieved. CAME receives real-time low level activities and infers higher level activities, situation analysis, personalized service suggestions, and makes appropriate decisions. A two-phase filtering technique is applied for intelligent processing of information (represented in ontology) and making appropriate decisions based on rules (incorporating expert knowledge). The experimental results for intelligent processing of activity information showed relatively better accuracy. Moreover, CAME is extended with activity filters and T-Box inference that resulted in better accuracy and response time in comparison to initial results of CAME.

• 디지털산업정보학회논문지
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• 제7권1호
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• pp.19-29
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• 2011

The u-Healthcare system, a new paradigm, provides healthcare and medical service anytime, anywhere in daily life using wired and wireless networks. It only doesn't reach u-Hospital at home, to manage efficient personal health in fitness space, it is essential to feedback process through measuring and analyzing a personal vital signs. MBAN(Medical Body Area Network) is a core of this technology. MBAN, a new paradigm of the u-Healthcare system, can provide healthcare and medical service anytime, anywhere on real time in daily life using u-sensor networks. In this paper, an ontology-based context-awareness in MBAN proposed system development methodology. Accordingly, ontology-based context awareness system on MBAN to Elderly/severe patients/aged/, with measured respiratory rate/temperature/pulse and vital signs having small variables through u-sensor network in real-time, discovered abnormal signs and emergency situations which may happen to people at sleep or activity, alarmed and connected with members of a family or medical emergency alarm(Emergency Call) and 119 system to avoid sudden accidents for early detection. Therefore, We have proposed that accuracy of biological signal sensing and the confidence of ontology should be inspected.

• 한국인터넷방송통신학회논문지
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• 제9권3호
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• pp.61-67
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• 2009

인터넷의 발달로 전자문서가 증가함에 따라, 정보검색기술의 중요성도 함께 증가하게 되었다. 본 연구는 비정형 텍스트 웹 문서로부터 사용자가 요구하는 핵심 의미 지식을 추출하기 위하여 LGG(Local Grammar Graph) 구축에 기반 하여 보다 효율적이고 정확한 지식구축을 가능하게 한다. 주가등락이라는 특정 분야의 패턴을 추출하여 만든 패턴 문법을 사용해서 OWL(Web Ontology Language) 기반의 온톨로지를 구축하였다. 특정 분야의 온톨로지를 구축함으로써 기존 검색에서 할 수 없었던 지식의 의미 검색이 가능하며 나아가 사용자가 원하는 질의에 대한 정보의 추론이 가능할 것이다.

• 디지털산업정보학회논문지
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• 제17권4호
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• pp.103-108
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• 2021

Knowledge graph is a technology that improves search results by using semantic information based on various resources. Therefore, due to these advantages, the knowledge graph is being defined as one of the core research technologies to provide AI-based services recently. However, in the case of the knowledge graph, since the form of knowledge collected from various service domains is defined as plain text, it is very important to be able to analyze the text and understand its meaning. Recently, various lexical dictionaries have been proposed together with the knowledge graph, but since most lexical dictionaries are defined in a language other than Korean, there is a problem in that the corresponding language dictionary cannot be used when providing a Korean knowledge service. To solve this problem, this paper proposes an ontology based on the parts of speech of Korean. The proposed ontology uses 9 parts of speech in Korean to enable the interpretation of words and their semantic meaning through a semantic connection between word class and word class. We also studied various scenarios to apply the proposed ontology to vehicle services.