• Title/Summary/Keyword: ontology management

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Quality Management Study of Weapon System using Ontology (Ontology를 활용한 무기체계 품질경영 연구)

  • An, Youngjun;Seo, Yoonho
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.735-749
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    • 2016
  • Purpose: This study is addressing the establishment of the knowledge information system supplying the quality management of weapon system. It is going to support the continuous quality management through the linkages and integration between the product structure and the quality information. Methods: The interrelated relationship of the product structure information and quality information of weapon system would be expressed explicitly by taking advantage of the ontology concept. The quality information of distributed systems would be integrated through the SOA(Service Oriented Architecture)-based Web services. After defining the inference rules, which could be utilized in the quality management, in the constructed knowledge information system, the quality information would be inferred through the queries. Results: By building the integrated quality information knowledge system through the ontology and SOA, the connectivity between the product structures and dispersed quality information was enhanced. The utility and applicability of this study were checked up through the inferences on the products and quality information by using the information built by the semantic relationship of facts. Conclusion: We established the knowledge and information system as a systematic approach to support the quality management of weapon system. This is not affected by the organizations and systems, and it seems that it could be utilized across the quality management as the efficient knowledge sharing architecture supporting the quality management of weapon systems in the aspect of the product integration.

Implementation of Ontology-based Clinical Decision Support System for Management of Interactions Between Antihypertensive Drugs and Diet (항고혈압제-식이 상호작용 관리를 위한 온톨로지 기반의 임상의사결정지원시스템 구현)

  • Park, Jeong-Eun;Kim, Hwa-Sun;Chang, Min-Jung;Hong, Hae-Sook
    • Journal of Korean Academy of Nursing
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    • v.44 no.3
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    • pp.294-304
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    • 2014
  • Purpose: The influence of dietary composition on blood pressure is an important subject in healthcare. Interactions between antihypertensive drugs and diet (IBADD) is the most important factor in the management of hypertension. It is therefore essential to support healthcare providers' decision making role in active and continuous interaction control in hypertension management. The aim of this study was to implement an ontology-based clinical decision support system (CDSS) for IBADD management (IBADDM). We considered the concepts of antihypertensive drugs and foods, and focused on the interchangeability between the database and the CDSS when providing tailored information. Methods: An ontology-based CDSS for IBADDM was implemented in eight phases: (1) determining the domain and scope of ontology, (2) reviewing existing ontology, (3) extracting and defining the concepts, (4) assigning relationships between concepts, (5) creating a conceptual map with CmapTools, (6) selecting upper ontology, (7) formally representing the ontology with Protege (ver.4.3), (8) implementing an ontology-based CDSS as a JAVA prototype application. Results: We extracted 5,926 concepts, 15 properties, and formally represented them using Protege. An ontology-based CDSS for IBADDM was implemented and the evaluation score was 4.60 out of 5. Conclusion: We endeavored to map functions of a CDSS and implement an ontology-based CDSS for IBADDM.

Ontology Versions Management on the Semantic Web

  • Yun, Hong-Won
    • Journal of information and communication convergence engineering
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    • v.2 no.1
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    • pp.26-31
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    • 2004
  • In the last few years, The Semantic Web has increased the interest in ontologies. Ontology is an essential component of the semantic web. Ontologies continue to change and evolve. We consider the management of versions in ontology. We study a set of changes based on domain changes, changes in conceptualization, metadata changes, and temporal dimension. In many cases, we want to be able to search in historical versions, query changes in versions, retrieve versions on the temporal dimension. In order to support an ontology query language that supports temporal operations, we consider temporal dimension includes transaction time and valid time. Ontology versioning brings about massive amount of versions to be stored and maintained. We present the storage policies that are storing all the versions, all the sequence of changed element, all the change sets, the aggregation of change sets periodically, and the aggregation of change sets using a criterion. We conduct a set of experiments to compare the performance of each storage policies. We present the experimental results for evaluating the performance of different storage policies from scheme 1 to scheme 5.

A Case-Based Reasoning Approach to Ontology Inference Engine Selection for Robust Context-Aware Services (상황인식 서비스의 안정적 운영을 위한 온톨로지 추론 엔진 선택을 위한 사례기반추론 접근법)

  • Shim, Jae-Moon;Kwon, Oh-Byung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.33 no.2
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    • pp.27-44
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    • 2008
  • Owl-based ontology is useful to realize the context-aware services which are composed of the distributed and self-configuring modules. Many ontology-based inference engines are developed to infer useful information from ontology. Since these engines show the uniqueness in terms of speed and information richness, it's difficult to ensure stable operation in providing dynamic context-aware services, especially when they should deal with the complex and big-size ontology. To provide a best inference service, the purpose of this paper is to propose a novel methodology of context-aware engine selection in a contextually prompt manner Case-based reasoning is applied to identify the causality between context and inference engined to be selected. Finally, a series of experiments is performed with a novel evaluation methodology to what extent the methodology works better than competitive methods on an actual context-aware service.

Similarity measure for P2P processing of semantic data (시맨틱웹 데이터의 P2P 처리를 위한 유사도 측정)

  • Kim, Byung Gon;Kim, Youn Hee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.4
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    • pp.11-20
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    • 2010
  • Ontology is important role in semantic web to construct and query semantic data. Because of dynamic characteristic of ontology, P2P environment is considered for ontology processing in web environment. For efficient processing of ontology in P2P environment, clustering of peers should be considered. When new peer is added to the network, cluster allocation problem of the new peer is important for system efficiency. For clustering of peers with similar chateristics, similarlity measure method of ontology in added peer with ontologies in other clusters is needed. In this paper, we propose similarity measure techniques of ontologies for clustering of peers. Similarity measure method in this paper considered ontology's strucural characteristics like schema, class, property. Results of experiments show that ontologies of similar topics, class, property can be allocated to the same cluster.

Development ontology model for partnership in supply chain networks (Supply Chain 파트너쉽에 관한 Ontology 모델 개발)

  • Lee, Hae-Kyeong;Kim, Tai-Oun
    • 한국IT서비스학회:학술대회논문집
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    • 2009.11a
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    • pp.9-19
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    • 2009
  • SCM은 시장의 변화를 신속하고 파악하고 IT 기술을 활용해 정보를 공유함으로써 변화에 보다 적극적으로 대처해 전체 Supply Chain의 이익을 높이고자 하는 전략적 사고라고 할 수 있다. SCM에서 파트너 선정은 장기적이고 전략적인 관점에서 이루어져야 하는 지식 집약적인 업무 Process이다. 본 연구는 SCM에서 파트너 선정의 절차를 Task Modeling을 통해 재사용 가능한 Knowledge-base를 개발하는 것이다. 이를 위해, 첫 번째로 전문가의 문제 해결 과정을 분석해 문제 해결 과정을 대상으로 한 Problem-Solving Ontology(Task Ontology)를 도출하고, 두 번째로 문제 해결 과정에 필요한 Domain Knowledge를 추출해 파트너 선정 문제 해결에 필요한 Domain Ontology를 개발한다. 끝으로 Problem-Solving Ontology와 Domain Ontology를 Protege를 통해 구현하고자 한다.

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A Study of Disassembling Major Indication Terms into Minimum Meaning Units and Linking to Diseases (의미 단위 분해를 통한 주치와 병증 용어 연계 연구)

  • Kim, Anna;Oh, Yongtaek;Kim, Sangkyun;Kim, Sanghyun;Jang, Hyunchul
    • Herbal Formula Science
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    • v.21 no.2
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    • pp.72-80
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    • 2013
  • Objectives : Ontology is a good tool to represent the knowledge and has developed for Traditional Korean Medicine(TKM) in Korea Institute of Oriental Medicine. There are a lot of TKM terms, which have a complex meaning, especially major indication terms of medicinal treatment and terms of symptom and disease. These complex meaning terms result in the low linkage between major indication terms of medicinal treatment and terms of symptom and disease in TKM ontology. We studied to enhance the percentage of the linkage among those data in TKM ontology. Methods : We disassembled major indication terms of medicinal treatment into minimum meaning units and then linked them to enhance the percentage of the linkage among medicinal material, formula and disease ontology based on Traditional Korean Medicine. To retain objectivity, several experts of Korean Medicine used a web-based tool that supports users in refining terms and disassembling them into the minimum meaning efficiently. Results : The outcome shows that the percentage of the linkage among medicinal material, formula and disease ontology increased. By linking disassembled major indication terms to symptoms and diseases, the amount of information for medicinal materials and formulas also increased quantitatively in comparison with given formula for diseases in disease ontology. Conclusions : By this study, disassembled data increases the percentage of linkage between diseases and medicinal treatments. And the applicability of TKM ontology is also increased.

Integration of Extended IFC-BIM and Ontology for Information Management of Bridge Inspection (확장 IFC-BIM 기반 정보모델과 온톨로지를 활용한 교량 점검데이터 관리방법)

  • Erdene, Khuvilai;Kwon, Tae Ho;Lee, Sang-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.33 no.6
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    • pp.411-417
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    • 2020
  • To utilize building information modeling (BIM) technology at the bridge maintenance stage, it is necessary to integrate large quantities of bridge inspection and model data for object-oriented information management. This research aims to establish the benefits of utilizing the extended industry foundation class (IFC)-BIM and ontology for bridge inspection information management. The IFC entities were extended to represent the bridge objects, and a method of generating the extended IFC-based information model was proposed. The bridge inspection ontology was also developed by extraction and classification of inspection concepts from the AASHTO standard. The classified concepts and their relationships were mapped to the ontology based on the semantic triples approach. Finally, the extended IFC-based BIM model was integrated with the ontology for bridge inspection data management. The effectiveness of the proposed framework for bridge inspection information management by integration of the extended IFC-BIM and ontology was tested and verified by extracting bridge inspection data via the SPARQL query.

An Implementation of Inference-Based Web Ontology for Intelligent Image Retrieval System (지능형 이미지 검색 시스템을 위한 추론 기반의 웹 온톨로지 구축)

  • Kim, Su-Kyoung;Ahn, Kee-Hong
    • Journal of the Korean Society for information Management
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    • v.24 no.3
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    • pp.119-147
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    • 2007
  • 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 or semantic web and web ontology as we compared the existing ontology construction ana ontology construction techniques proposed for web ontology construction, and we analyzed. And modeling old 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.

Ontology-based Information Management for the Systematization of Modernized Hanok Construction Data (온톨로지를 활용한 신한옥 시공기술정보의 체계적 관리 방안)

  • Lee, Heewoo;Moon, Kyeongpil;Jung, Youngsoo;Lee, Yunsub
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.1
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    • pp.51-60
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    • 2023
  • This paper aims to propose a method for the systematic management of construction information using ontology. In particular, it was intended to propose a method to systematically manage the construction method information required by designers and constructors. The information used in this paper is a case of test-bed construction resulting from 10 years of modernized Hanok technology development research. The new construction methods of modernized Hanok were organized using the ontology editor, Protege. To this end, the concept of ontology and the process of constructing ontology have been summarized through a review of existing research first. A conceptual diagram for constructing a domain ontology of the modernized Hanok construction methods was then proposed, and the effectiveness of the proposed domain ontology was verified using the SPARQL Query function of Protege. Finally, the defined classes and construction method metadata were published on the web using ontology web language (OWL).