• 제목/요약/키워드: Semantic analysis

검색결과 1,355건 처리시간 0.029초

시맨틱 웹 기반 국방무기 다차원 정보 분석 시스템 (Semantic Web based Multi-Dimensional Information Analysis System on the National Defense Weapons)

  • 최중환;박정호;김평;이승우;정한민;서동민
    • 한국콘텐츠학회논문지
    • /
    • 제12권11호
    • /
    • pp.502-510
    • /
    • 2012
  • 국방 과학기술의 발달에 따라 첨단 무기들이 지속적으로 개발되고 온라인을 통한 정보의 공유가 활발해지면서, 각국의 미래 전략무기 소요 제기를 위한 정보의 수집 및 분석의 중요성이 증가하고 있으며, 이를 위한 이종의 국방정보를 통합 관리 및 분석하는 시스템이 필요하다. 시맨틱 웹은 이종의 지식자원을 통합하고 검색 및 내비게이션 할 수 있는 차세대 지식정보 관리 기반 기술로 최근에는 지능형 시스템 구축에 활발하게 사용되고 있다. 시맨틱 웹은 단순 키워드 검색이 아닌 의미적으로 연관된 정보 검색을 제공하기 때문에 신뢰도 높은 분석 결과를 제공한다. 본 논문에서는 시맨틱 웹을 기반으로 무기 제원 정보를 중심으로 무기의 제조국, 개발 회사, 개발 현황 등 무기와 관련된 다양한 관련 정보를 온톨로지로 구조화하는 것은 물론, 관련 정보를 이용해서 무기를 효과적으로 검색 및 분석할 수 있는 국방무기 다차원 정보분석시스템을 제안한다. 제안한 시스템은 무기의 제원명과 제원의 상하위 관계를 이용해서 확장 검색 기능을 제공하며, 무기 관련 정보를 이용해서 다양한 경로로 무기정보에 접근할 수 있는 기능과 함께 무기체계에 따른 다양한 분석 기능도 제공한다. 또한 개발된 시스템은 무기 분야의 전문가 지식과 웹에서 수집된 무기 관련 정보를 온톨로지로 구축하고 지능화된 검색 서비스를 구현함으로써, 정보전 시대에 필요한 첨단 무기 정보 획득의 효율성을 제고한다.

시맨틱 기술의 경제적 파급효과 분석 (An Economic Ripple Effect Analysis of Semantic Technology)

  • 박성욱;한선화;성원경
    • 정보관리연구
    • /
    • 제41권3호
    • /
    • pp.175-190
    • /
    • 2010
  • 국가 과학기술 경쟁력 향상 및 창조적 부의 원천 확보를 위해서는 지능화된 시맨틱 기술을 통한 정확한 정보 제공과 고품질의 정보 제공이 필요하다. 시맨틱 기술은 정보를 의미적으로 연계 및 통합하고 원하는 정보를 보다 쉽게 얻을 수 있는 기술이며, IT전반에 걸쳐 파급효과가 매우 큰 핵심기술로서 다양한 산업분야에서의 기술적 경쟁력을 확보하고 이를 성장동력화 하고 있다. 이에 본 논문은 시맨틱 기술이 국내 차세대 웹 시장을 통해 경제 각 부문에 미치는 효과를 한국은행(2009)의 산업연관분석을 이용하여 생산유발효과, 부가가치유발효과, 수입유발효과, 취업자유발효과로 나누어 경제적 파급효과를 분석하여 시맨틱 기술에 대한 경제적 타당성을 검증하고자 한다.

의미간의 유사도 연구의 패러다임 변화의 필요성-인지 의미론적 관점에서의 고찰 (The Need for Paradigm Shift in Semantic Similarity and Semantic Relatedness : From Cognitive Semantics Perspective)

  • 최영석;박진수
    • 지능정보연구
    • /
    • 제19권1호
    • /
    • pp.111-123
    • /
    • 2013
  • 개념간의 의미적 유사도 및 관계도(Semantic Similarity/Relatedness)를 구하는 연구는 고전적인 연구에서는 데이터 베이스 통합이나 시스템 통합, 그리고 현대의 연구에 있어서는 태그 및 키워드 추출, 연관 단어 추천 등에 걸쳐 다양한 분야에서 활용되어 온 연구이다. 그 연구는 역사가 오래되었을 뿐만 아니라, 경영정보와 컴퓨터 공학, 계산 언어학에 걸쳐 여러 분야에서도 많은 관심을 가져왔던 연구 분야라고 할 수 있다. 그러나, 지금까지의 개념간의 관계도 계산 방식은 미리 만들어진 사전이나 참조할 수 있는 다른 시맨틱 네트워크(Semantic Network)를 이용하여 계산하는 방법이 주를 이루었다. 이러한 접근 방법의 경우, 개념간의 의미적 관계가 변화에 대한 가능성을 고려하지 않는 것이 일반적이다. 하지만, 정보 기술의 발달과 빠른 사회변화는 개념간의 의미관계 등에 변화를 가져오고 있는 것이 현실이다. 사회적으로 일어나는 사건이나, 문화적 변화 등이 개념간의 의미관계를 변화시키는 것을 물론이며, 이러한 변화가 정보 통신 기술의 도움으로 빠르게 공유되고 있다. 이렇게 개념간의 의미 관계가 시간이나 맥락에 따라 빠르게 변화할 수 있는 가능성이 있음에도 불구하고, 기존의 개념간 의미적 유사도 및 관계도에 대한 연구들은 이러한 '의미관계의 변화'에 대한 새로운 문제에 대해 해답을 제시하지 못한 것이 사실이다. 따라서, 본 연구에서는 개념간의 유사도 연구에 있어 지금까지 있어왔던 '정적인 의미간 관계도 패러다임'에서 '동적인 의미간 관계도 패러다임'으로의 전환의 필요성과 그 당위성을 인지 의미론적(Cognitive Semantics)의 관점에서 역설하고자 한다. 인간이 인지하는 개념간의 의미관계가 변화할 수 있는 이론적 근거를 인지 의미론에서 찾아봄으로써, 패러다임 변화의 방향을 구체적으로 제시하였다. 또한 이러한 패러다임의 변화에 맞추어 개념간의 의미적 유사도 및 관계도에 대한 연구가 어떠한 방향으로 나아가야 할지 구체적인 연구 방향을 제시함으로써 관련 연구자들에게 새로운 연구의 가이드라인을 제시하였다.

Semantic Network Analysis of Physiotherapy Research: Based on Studies Published in the Journal of IAPTR

  • Go, Junhyeok;Yeum, Dongmoon;Kim, Nyeonjun;Choi, Myungil
    • 국제물리치료학회지
    • /
    • 제10권4호
    • /
    • pp.1926-1933
    • /
    • 2019
  • Background: Physical therapy has been widely studied in various fields, however, the academic trends and characteristics has not been systematically analyzed. Semantic network analysis is used as an approach for this study. Objective: To explore academic trends and knowledge system in the physiotherapy research in the Journal of International Academy Physical Therapy (J of IAPTR) Study design : Literature review Method: Semantic network analysis was conducted using the titles of 272 articles published in the Journal of IAPTR from 2010 to 2019. Results: Frequency analysis revealed following most frequently used key words; Stroke (27 times), Balance (21 times), Elder (13 times), Forward head posture (FHP, 11 times), Muscle activity (9 times). The relationship between the presented keywords is divided into six subgroups (FHP and pain, walk and quality, elder and balance, stroke and apoptosis, muscle strength and function) according to their correlation and frequency to be used together. Conclusion: The study is considered to be of help to researchers who want to identify research trends in physiotherapy.

시맨틱 웹 기술혁신의 채택과 확산: 질적연구접근법 (The Adoption and Diffusion of Semantic Web Technology Innovation: Qualitative Research Approach)

  • 주재훈
    • Asia pacific journal of information systems
    • /
    • 제19권1호
    • /
    • pp.33-62
    • /
    • 2009
  • Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.

Hierarchical Structure in Semantic Networks of Japanese Word Associations

  • Miyake, Maki;Joyce, Terry;Jung, Jae-Young;Akama, Hiroyuki
    • 한국언어정보학회:학술대회논문집
    • /
    • 한국언어정보학회 2007년도 정기학술대회
    • /
    • pp.321-329
    • /
    • 2007
  • This paper reports on the application of network analysis approaches to investigate the characteristics of graph representations of Japanese word associations. Two semantic networks are constructed from two separate Japanese word association databases. The basic statistical features of the networks indicate that they have scale-free and small-world properties and that they exhibit hierarchical organization. A graph clustering method is also applied to the networks with the objective of generating hierarchical structures within the semantic networks. The method is shown to be an efficient tool for analyzing large-scale structures within corpora. As a utilization of the network clustering results, we briefly introduce two web-based applications: the first is a search system that highlights various possible relations between words according to association type, while the second is to present the hierarchical architecture of a semantic network. The systems realize dynamic representations of network structures based on the relationships between words and concepts.

  • PDF

An Analysis of Semantic Errors in Machine-Translated English Compositions by Korean EFL College Students

  • Baek, Ji-Yeon
    • International Journal of Advanced Culture Technology
    • /
    • 제10권3호
    • /
    • pp.71-76
    • /
    • 2022
  • The purpose of this research is to investigate the types of semantic errors made by MT in translating EFL college students' original drafts written in Korean into English. Specifically, this study attempts to find out 1) what types of semantic errors are most frequently committed by MT? and 2) how students feel about the quality of the MT-produced output? The findings from this study indicated that MT produced the errors related to accuracy (47%) the most, followed by the errors related to fluency and ambiguity (14.6% respectively). Students were well aware of the errors with accuracy and fluency but had limited ability to check the errors with ambiguity. Based on the findings, this study suggests pedagogical implications which can be implemented in L2 writing classrooms.

Artificial intelligence approach for linking competences in nuclear field

  • Vincent Kuo;Gunther H. Filz;Jussi Leveinen
    • Nuclear Engineering and Technology
    • /
    • 제56권1호
    • /
    • pp.340-356
    • /
    • 2024
  • Bridging traditional experts' disciplinary boundaries is important for nuclear knowledge management systems. However, expert competences are often described in unstructured texts and require substantial human effort to link related competences across disciplines. The purpose of this research is to develop and evaluate a natural language processing approach, based on Latent Semantic Analysis, to enable the automatic linking of related competences across different disciplines and communities of practice. With datasets of unstructured texts as input training data, our results show that the algorithm can readily identify nuclear domain-specific semantic links between words and concepts. We discuss how our results can be utilized to generate a quantitative network of links between competences across disciplines, thus acting as an enabler for identifying and bridging communities of practice, in nuclear and beyond.

시간 웹 온톨로지 언어를 이용한 뉴스 동향 분석 서비스 (Trend Analysis Service using a Temporal Web Ontology Language in News Domains)

  • 김상균;이규철
    • 한국전자거래학회지
    • /
    • 제12권3호
    • /
    • pp.133-150
    • /
    • 2007
  • 본 연구에서는 시맨틱 웹 기술을 이용해 뉴스의 동향을 분석하는 서비스를 제안한다. 뉴스 동향 분석 서비스는 뉴스들 간의 시간흐름 또는 관계들을 분석해 줄 수 있기 때문에 현재의 일반적인 뉴스검색 엔진보다 지능적인 검색 결과를 보여줄 수 있다. 이러한 서비스를 제공하기 위해서는 시간 정보에 대한 추론 기능이 필요하지만 OWL과 같은 시맨틱 웹 언어는 이를 지원하지 못하기 때문에 시간 기반 추론을 지원하기 위해 본 연구에서는 OWL을 확장한 TL-OWL(Temporal Web Ontology Language)을 제안한다.

  • PDF

여성사용자의 평가어휘지표에 의한 공간 환경 분석에 관한 연구 - 미술관 공간 환경의 비교연구를 중심으로 - (An Empirical Analysis of Museums' Spatial Environments using a Sensibility Rating Scale of Women's)

  • 한명흠
    • 한국실내디자인학회논문집
    • /
    • 제20권6호
    • /
    • pp.192-199
    • /
    • 2011
  • The purposes of this study are to present the criteria for a sensibility rating scale for measuring the general women's perception of museums' spatial environment, through an empirical analysis; and to clarify the characteristics of the presented rating scale in terms of each rating element and factor. For this study, a survey was conducted during August 19 - September 16, 2010, and a total of 342 museum visitors participated in the survey. A sensibility rating scale used for the survey consisted of a total of 32 adjectives selected from a literature review of previous studies. To specify the dimensions of semantic space using the semantic adjectives, words with opposite meanings were analyzed with the semantic differential technique developed by Osgood et al. Using SPSS, a reliability analysis, factor analysis were conducted on the data obtained from the survey. The results of this study can be summarized as follows: According to the women's perception of museums' spatial environment, six factors were found from the 25 semantic ratings of the Museum. The summarized criteria were: 'aesthetic', 'pleasant', 'valuable', 'function', 'affinity', and 'material.' The derived criteria were verified through an empirical test using emotional adjectives. In the coming years, the results of this study will serve as valuable data for constructing a sensibility rating scale for evaluating spatial environments of museums.