• Title/Summary/Keyword: building ontology

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XOB: An XMDR-based Ontology Builder (XOB: XMDR 기반의 온톨로지 생성 시스템)

  • Lee, Suk-Hoon;Jeong, Dong-Won;Kim, Jang-Won;Baik, Doo-Kwon
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.9
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    • pp.904-917
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    • 2010
  • Much research on ontology has been done during the last decade in order to represent knowledge and connect data semantically in AI and Semantic Web areas. However, ontologies might be represented and defined in different ways depending on knowledge and intention of users. It causes heterogeneity problem that the same concept can be differently expressed. This paper introduces a XOB (XMDR-based Ontology Builder) system based on XMDR to resolve the problem. XOB creates ontologies by reusing classes and relations defined in XMDR. XOB therefore is able to either solve or minimize the heterogeneity problem among ontologies. This paper introduces the conceptual model and overall architecture of the proposed system XOB. This paper defines the process, algorithm, ontology generation rule that is required to create ontologies by using concepts registered in XMDR. Our proposal supports higher standardization than the previous approaches, and it provides many advantages such as consistent concept usage, easy semantic exchange, and so on. Therefore, XOB enables high-quality ontology creation and reduces cost for ontology integration and system development.

Building and Applying Shipbuilding Ontology for BOM Data Interoperability in Heterogeneous Shipbuilding PLM Systems (이 기종 조선 PLM 시스템 간 BOM Data 교환을 위한 조선 온톨로지 Framework 구축)

  • Kim, Dae-Seok;Lee, Kyung-Ho;Lee, Jung-Min;Lee, Kwang;Kim, Jin-Ho
    • Korean Journal of Computational Design and Engineering
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    • v.16 no.3
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    • pp.197-206
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    • 2011
  • Shipbuilding is a complex industry which contains a lot of knowledge, technology, and utilities. Hence, the necessity of the PLM (Product Life-cycle Management) system which manages life-cycle information of marine product has been increased. So, many studies related to shipbuilding PLM have been preceded, and there are some cases to be built. To implement collaboration and concurrent engineering of ship designing and manufacturing, interoperability of product data in heterogeneous system is required. Also, sharing and reusing knowledge are important for innovation of business process and productivity of enterprises. Even though many studies related interoperability of product data are going on in varies domain, the application to shipbuilding is deficient. This paper proposes a methodology for management and interconnection of BOM data based on ontology in heterogeneous PLM system of shipbuilding. Using Prot$\'{e}$g$\'{e}$-OWL, we built simple domain ontology of shipbuilding industry, and then, we integrated product information of shipbuilding BOM which is represented with different ontologies. We verified possibility of integration of shipbuilding BOM in heterogeneous PLM, using ontology.

A Comparison of Ontology Languages: Focusing on W3C OWL and ISO Topic Maps (온톨로지 언어의 비교 연구: W3C OWL과 ISO 토픽맵을 중심으로)

  • Oh, Sam-Gyun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.15 no.2
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    • pp.71-96
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    • 2004
  • The purpose of this study is to describe major concepts related to W3C OWL and ISO Topic Maps and to provide the result of comparison and analysis regarding semantic expression power between two ontology languages. This paper is comprised of the following parts: 1) describing URI and namespace concepts that are fundamental building block of effective ontology construction; 2) offering detailed explanation of major Topic Map concepts such as topics, associations, and occurrences; 3) providing how to accomplish the second purpose of cataloging(grouping related items when displaying the search result) using Topic Map; and 4) finally explaining the difference between two ontology languages in terms of semantic expression power.

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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.

A Study of Automatic Ontology Building by Web Information Extraction and Natural Language Processing (웹 문서 정보추출과 자연어처리를 통한 온톨로지 자동구축에 관한 연구)

  • Kim, Myung-Gwan;Lee, Young-Woo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.3
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    • pp.61-67
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    • 2009
  • The proliferation of the Internet grows, according to electronic documents, along with increasing importance of technology in information retrieval. This research is possible to build a more efficient and accurate knowledge-base with unstructured text documents from the Web using to extract knowledge of the core meaning of LGG (Local Grammar Graph). We have built a ontology based on OWL(Web Ontology Language) using the areas of particular stocks up/down patterns created by the extraction and grammar patterns. It is possible for the user can search for meaning and quality of information about the user wants.

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A Study on Focused Crawling of Web Document for Building of Ontology Instances (온톨로지 인스턴스 구축을 위한 주제 중심 웹문서 수집에 관한 연구)

  • Chang, Moon-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.86-93
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    • 2008
  • The construction of ontology defines as complicated semantic relations needs precise and expert skills. For the well defined ontology in real applications, plenty of information of instances for ontology classes is very critical. In this study, crawling algorithm which extracts the fittest topic from the Web overflowing over by a great number of documents has been focused and developed. Proposed crawling algorithm made a progress to gather documents at high speed by extracting topic-specific Link using URL patterns. And topic fitness of Link block text has been represented by fuzzy sets which will improve a precision of the focused crawler.

Building An Ontology Model for Warehouse Management using Sensor (센서를 이용한 웨어하우스 관리 온톨로지 모델 구축)

  • Lee, Hyun-Chang
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.201-206
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    • 2010
  • According to the ubiquitous technology development, managing of the warehouse system which stores and manages agriculture products is realized effectively. This paper proposes an ontology-based context aware system model for the purpose of storing and managing agricultural products using ubiquitous sensors to share and distribute information. In these days, owing to penetrating ubiquitous technologies into our way of life, the importance of information is increasing gradually. The importance of ontology in a domain is getting as well. Therefore, this paper focuses on describing to get data from ubiquitous devices such as sensors, and designs and build an ontology-based agricultural product warehouse model.

Ontology-based Recommendation System for Maintenance of Korean Architectural Heritage

  • Lee, Jongwook
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.49-55
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    • 2019
  • In this paper, we propose ontology-based recommendation system for supporting maintenance of Korean architectural heritage. This study includes the following: 1) design of ontology expressing repair information of architectural heritage, 2) creation of repair case DB, 3) creation of a recommendation system of repair method. For this study, we designed the ontology that expresses the information of Korean wooden building cultural heritage by referring to the existing heritage ontologies. Second, we created the repair information database based on the repair contents and the expert interview data provided by the National Institute of Cultural Heritage and the Cultural Heritage Administration. Third, we developed a system that recommends the repair method of Korean wooden architectural heritage with the most similar phenomena and causes. This study contributes to sharing repair knowledge and determining repair methods for architectural heritage repair.

Building an Ontology for Structured Diagnosis Data Entry of Educating Underachieving Students (구조화된 학습부진아 진단 자료 입력을 위한 온톨로지 개발)

  • Ha, Tae-Hyeon;Baek, Hyeon-Gi
    • 한국디지털정책학회:학술대회논문집
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    • 2005.06a
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    • pp.545-555
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    • 2005
  • 본 연구는 학습 부진아 진단 지식을 온톨로지로 표현함으로써 교사와 학생 간에 발생하는 학습 용어의 불일치성을 해소할 수 있으며 진단 과정에 있어 학습 부진아의 정보를 기반으로 한 추론을 기능하도록 한다. 또한 특정한 진단을 보여주는 일반적인 학습부진아 진단시스템과는 달리, 이러한 지식베이스를 이용하여 사용자에게 정확한 개념어(정답어)를 습득하게끔 해주고, 사용자의 인지 체계 속에 내포되어 있는 개념적 지식을 더욱 더 표면적으로 확장해 나갈 수 있는 온톨로지를 구축하는 방안을 제시한다.

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Dependency Label based Causing Inconsistency Axiom Detection for Ontology Debugging (온톨로지 디버깅을 위한 종속 부호 기반 비논리적 공리 탐지)

  • Kim, Je-Min;Park, Young-Tack
    • Journal of KIISE:Software and Applications
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    • v.35 no.12
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    • pp.764-773
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    • 2008
  • The web ontology language(OWL) has become a W3C recommendation to publish and share ontologies on the semantic web. In order to check the satisfiablity of concepts in OWL ontology, OWL reasoners have been introduced. But most reasoners simply report check results without providing a justification for any arbitrary entailment of unsatisfiable concept in OWL ontologies. In this paper, we propose dependency label based causing inconsistency axiom (CIA) detection for debugging unsatisfiable concepts in ontology. CIA is a set of axioms to occur unsatisfiable concepts. In order to detect CIA, we need to find axiom to cause inconsistency in ontology. If precise CIA is gave to ontology building tools, these ontology tools display CIA to debug unsatisfiable concepts as suitable presentation format. Our work focuses on two key aspects. First, when a inconsistency ontology is given, it detect axioms to occur unsatisfiable and identify the root of them. Second, when particular unsatisfiable concepts in an ontology are detected, it extracts them and presents to ontology designers. Therefore we introduce a tableau-based decision procedure and propose an improved method which is dependency label based causing inconsistency axiom detection. Our results are applicable to the very expressive logic SHOIN that is the basis of the Web Ontology Language.