• Title/Summary/Keyword: Ontology Learning

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An Investigation on Semantic Web-based Business Support: Ontology development and inference framework for the course recommendation

  • Kim, Jin-S.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.4
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    • pp.554-561
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    • 2010
  • As a fundamental knowledge source in a global learning environment, it is feasible to apply the relational database management systems (RDBMS), object-oriented database management systems (OODBMS), and other traditional DBMS. However, the traditional DBMSs are not feasible in semantic knowledge/ontology representation and inference. One of the reasonable ways to overcome the limitations is the semantic web-based business support framework. Especially, in this study, we focused on the development of semantic web ontology and natural language (NL)-based inference framework. To validate the efficiency of the proposed framework, we considered a reasonable scenario for course recommendation in a university.

A case study on Text-to-Ontology transformation on the basis of neural translation (딥러닝 기반 기계번역 개념을 활용한 Text-to-Ontology 변환 사례)

  • Shin, Yu-Jin;Lee, Jee Hang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.891-894
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    • 2021
  • 온톨로지(Ontology)는 사람과 컴퓨터, 또는 컴퓨터 간의 개념 및 개념 표현을 공유하기 위한 개념화의 명시적 규약을 의미한다. 기존의 온톨로지 생성은 전문가에 의한 수작업에 의존되어 비용과 시간이 많이 드는 한계가 있다. 이에 본 논문에서는 딥러닝(Deep learning)기반의 기계번역 개념을 적용한 사례를 활용하여, 수작업의 의존성이 감소한 방법으로 텍스트로부터 온톨로지를 생성하는 방법을 구현하였다. 특히 기존 연구에서 제안한, 딥러닝을 이용해 텍스트로부터 지식 표현 시퀀스를 추출한 정보를 활용하여, 지식 표현 구조를 온톨로지로 변환하고 지식 베이스로 확장하는 과정을 통해 자동화 된 Text-to-Ontology 변환 방법론을 제안하고자 한다.

Building a Philosophy Ontology based on Content of Texts and its Application to Learning (텍스트 내용 기반의 철학 온톨로지 구축 및 교육에의 응용)

  • Chung, Hyun-Sook;Choi, Byung-Il
    • Journal of The Korean Association of Information Education
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    • v.9 no.2
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    • pp.257-270
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    • 2005
  • Researchers of humane studies including philosophy acquire knowledge from understanding of their texts. They spent a lot time and efforts to retrieve, read and understand many texts relevant to their research fields using a metadata-based text retrieval system. In this paper, we develop a philosophy ontology that enables researchers to retrieve knowledge in the content of texts of philosophy. Our philosophy ontology includes concepts and their hierarchical and associative relationships defined by philosophy researchers. We propose a methodology for constructing text-based ontology comprised of three phases and fourteen steps. This methodology may be used to construct another ontologies for learning. Also, we introduce a case study for applying our philosophy ontology to acquire and interchange knowledge of philosophy between a professor and students during philosophy classes.

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Web Page Classification System based upon Ontology (온톨로지 기반의 웹 페이지 분류 시스템)

  • Choi Jaehyuk;Seo Haesung;Noh Sanguk;Choi Kyunghee;Jung Gihyun
    • The KIPS Transactions:PartB
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    • v.11B no.6
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    • pp.723-734
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    • 2004
  • In this paper, we present an automated Web page classification system based upon ontology. As a first step, to identify the representative terms given a set of classes, we compute the product of term frequency and document frequency. Secondly, the information gain of each term prioritizes it based on the possibility of classification. We compile a pair of the terms selected and a web page classification into rules using machine learning algorithms. The compiled rules classify any Web page into categories defined on a domain ontology. In the experiments, 78 terms out of 240 terms were identified as representative features given a set of Web pages. The resulting accuracy of the classification was, on the average, 83.52%.

Design and Implementation of an Ontology-based Access System of Nutrition and Food Guide Tower in Middle School Home Economics (온톨로지 기반 중학교 기술. 가정교과 영양소의 질의응답 시스템 설계 및 구현)

  • Cho, Young-Sun;Baek, Hyeon-Gi;Kim, Jeong-Kyoum;Yu, Jeong-Su
    • Journal of The Korean Association of Information Education
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    • v.11 no.3
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    • pp.317-327
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    • 2007
  • The purpose of this study is to consider ontology theory and get to forge design and implementation of ontology-based access system which is support to the nutrition and food guide tower of Home Economics textbooks in middle school in order to offer the way of effective learning performance. It offers a model by establishing a nutrition and food guide tower access system based on Protege-2000 framework. This system is on the basis of XML, and it makes possible to work with semantic web, a next generation internet technology, and provides a meaning structure that can be shared in the field of nutrition in order to build up the fundament of knowledge an information system for the mutual operations. A learner can systemize the knowledge through a self-information access and an instructor can also check out the degree of learner's learning-accomplishment and interests, directly putting the access system into the teaching and learning process. In addition, it is supposed that the learner can maintain a balance and healthy life by internalizing his or her knowledge throughout ontology not only in a teaching and learning process but also in a daily life.

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Traditional Korean Medicine Diagnosis System Based on Basic Ontology (기초 온톨로지 기반 한의 진단 시스템)

  • Kim, Sang-Kyun;Jang, Hyun-Chul;Kim, Jin-Hyun;Oh, Young-Taek;Kim, Chul;Yea, Sang-Jun;Song, Mi-Young
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.24 no.6
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    • pp.1111-1116
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    • 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.

Design and Implementation to Support Cross-Platform Smart Learning System based on Ontology (이기종 플랫폼을 지원하는 온톨로지 기반 스마트러닝 시스템 설계 및 구현)

  • Jeon, Seung-Yeon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.960-963
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    • 2013
  • By the rapid development ICTs, education is entering into a smart learning. Learners are put down the paper book, are learning by using a various smart devices, and at this moment emerged that learning system each of which contains numerous platforms. Platform-specific systems require a lot of time and money to applicable to heterogeneous platforms, and This phenomenon is exacerbated if system has a lot of learning contents. Learning system that supports cross-platform is needed for reduce the unnecessary waste of resources and provide effective learning content. In order to achieve this, the research must be preceded by a database model that numerous of existing learning content can be integrated without any unnecessary redundant. In this paper, suggests Ontology-based metadata model that can be integrate existing learning content as an alternative to database, and through this, Design and Implementation of smart learning system that support Heterogeneous platforms.

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The KEM OWL Binding (KEM과 OWL의 바인딩)

  • Chang, Byung-Chul;Cha, Jae-Hyuk;Ham, Dall-Ho
    • Journal of Digital Contents Society
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    • v.7 no.2
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    • pp.125-131
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    • 2006
  • In the recent year, the need for effective searching for e-learning contents has emerged as a revitalization of e-learning. Therefore, there are many studies for the contents searching method that make use of semantic web technology. Also, there are many studies to apply the ontology as the core technology of sematic web to e-learning. In this study, we bind the KEM(Korea Education Metadata) that enacted as the first technical standard of e-learning, KS X7001, in Dec. 2004 with OWL to use the metadata for a effective searching with ontology through the solving of the problem of metadata. And, we discuss some problems that occur in progress of binding and the solutions.

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Representation and Management of e-Learning Object Metadata Using ebXML (ebXML 등록저장소를 이용한 이러닝 객체 메타데이터의 표현과 관리)

  • Kim, Hyoung-Do
    • The Journal of the Korea Contents Association
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    • v.6 no.11
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    • pp.249-259
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    • 2006
  • E-learning objects should be appropriately described and classified using standard metadata for facilitating the processes of e-learning resource description, discovery and reuse. These metadata need to be published in a registry to reduce duplication of effort and enhance semantic interoperability. This paper describes how standard ebXML registries can be used for annotating, storing, discovering and retrieving e-learning object metadata. For semantic annotation of e-learning objects, IEEE LOM is adopted as the metadata ontology. In order to support the e-learning metadata ontology in interoperable ebXML registries, a mapping scheme between LOM and ebXML information model is proposed. The usefulness of standard ebXML registries for sharing e-learning metadata is demonstrated by prototyping an e-learning registry called ebRR4LOM based on the scheme.

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