• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.247-256
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• 2008

This research is to develop product retrieval system through simplified communication by applying intelligent agent technology based on automatically created domain ontology to present solution on problems with e-commerce system which searches in the web documents with a simple keyword. Ontology development extracts representative term based on classification information of international product classification code(UNSPSC) and jewelry websites that is applied to analogy relationship thesaurus to establish standardized ontology. The intelligent agent technology is applied to retrieval stage to support efficiency of information collection for users by designing and developing e-commerce system supported with semantic web. Moreover, it designs user profile to personalized search environment and provide personalized retrieval agent and retrieval environment with inference function to make available with fast information collection and accurate information search.

• Information and Communications Magazine
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• v.34 no.1
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• pp.41-50
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• 2016

사물인터넷 비즈니스의 수요가 증가하면서, 다양한 사물들에 대한 식별 및 데이터 공유 체계와 서비스 디스커버리 표준을 제공하는 GS1 (Global Standard 1) 국제 표준이 글로벌 사물인터넷 표준으로써 자리잡고 있다. 유통/물류분야의 지배적 표준에서 시작한 GS1은 1999년 세계 최초로 사물인터넷(Internet of Things)이란 용어와 개념을 소개한 이후, 스마트팩토리, 헬스케어 서비스 표준에서부터 금융 서비스에 이르기까지, 다양한 산업 도메인 응용의 수평적 통합을 가능하게 하는 데이터 기반의 사물인터넷 표준으로서의 입지를 지속적으로 확장해 나가고 있다. 본 논문에서는 GS1 국제 표준에 대한 전반적인 개념 및 특징을 설명하고 현재 활발히 진행되고 있는 다양한 서비스 표준안들과 GS1 표준의 레퍼런스 구현인 Oliot(Open Language for Internet of Things) 오픈소스 프로젝트를 소개하고, 실제 글로벌 비즈니스에서의 적용 사례들을 살펴봄으로써 사물인터넷 비즈니스 플랫폼으로써의 GS1 표준의 전망을 제시한다.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.3
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• pp.197-219
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• 2009

The study acknowledges the need for classification systems in arts and cultural education. The study constructs a faceted classification system for this domain based on systematic methods. The study utilized iterative collaboration between domain experts and classification system developers. The classification system consists of 13 main facets and terms. The classification system has values to manage information resources effectively and efficiently. It is also beneficial for reducing cultural gaps in arts and cultural education as well as providing an information gateway for users.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.1
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• pp.285-303
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• 2006

This study suggests the method of converting thesauri to SKOS step by step and it is formalized in three stages of the conversion process. The study develops output and guidelines for each stage. The converting stages are: (1) Collecting and analyzing thesauri for understanding about structure of terms and semantics of relation. (2) Defining the conversion method and creating ontology of the thesauri. (3) Examining the preservation of forms and various semantic relations between the thesauri and then creating SKOS ontology. This method can be applied to the thesauruses with complicated relations in concepts. In the future, it is needed to have an embodiment of conversion after making the algorithm of conversion by stage with the method suggested in this research.

• Annual Conference of KIPS
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• 2008.11a
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• pp.747-750
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• 2008

본 연구는 온톨로지, 자연어 처리, 메타데이터 등의 시맨틱 웹 기반 기술들을 이용하여 시맨틱 웹 응용을 위한 전체적인 기술 적용과 그의 활용에 목적을 두고 있다. 이를 위해 OWL을 기반으로 조직이나 기관의 지식 주제별 도메인 온톨로지와, 기존 워드넷(WordNet)이나 더브린 코어 메타데이터(Dublin Core Meta Data)와 조직에 정의된 데이터베이스의 스키마를 MDR로 구축하여 상호 연결하여 온톨로지가 갖는 지능적 추론과 규칙 서비스와 표준화된 메타데이터의 결합 방법을 제공한다. 이는 기존에 온톨로지와 메타데이터의 재활용과 연결(Alignment)에 있어 연구적으로 높은 가치가 있다. 그리고 조직의 사용자가 문서를 작성할 때 문서의 내용에 대해 자연어 처리 기술과 온톨로지의 기술을 이용해 적합한 용어나 메타데이터를 자동으로 제공하여 작성된 문서의 공유와 재사용성을 높이고, 작성된 문서를 XML 형식으로 구성되는 XML 기반 지능 문서 데이터베이스(XMB Based Intelligent Document Database)에 저장하여 유사한 문서를 작성하거나 사용할 필요가 있는 사용자에게 문서 등록과 검색 에이전트(Document Registry and Retrieval Agent)를 통해 이러한 제공하여 문서 지식의 사유화를 최소화 하고, 유사 문서의 재작성과 또는 특정 문서의 작성에 필요한 시간이나 경비를 줄이게 된다. 또한 웹상이나 PDA 같은 개인 휴대장치를 통해서도 서 등록과 검색 에이전트를 통해 문서를 검색하고 사용할 수 있게 한다면 언제 어디서나 해당 서비스를 활용하는 유비쿼터스와 시맨틱 웹의 실질적 응용을 거둘 수도 있으리라 사료된다.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.321-330
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• 2023

In this paper, we propose a method of automatically creating an ontology by extracting various relationships between terms necessary for constructing an ontology of a specific domain. The extracted relationship is constructed as an ontology by encoding it into an axiomatic set in the structure of the ontology. To solve efficiently, we represent the search space of the set as an integer programming problem, and we reduce the matrix by using a simple reduction that eliminates rules that are not very helpful for optimization. In conclusion, this paper proposes a way to generalize patterns using given data, reduce search space while maintaining useful patterns, and automatically generate efficient ontology using extracted relationships by applying algorithms composed of structured ontology.

• Journal of KIISE:Software and Applications
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• v.29 no.10
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• pp.726-735
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• 2002

E-mail service has been a general method for communication as internet is widely used instead of post mails. Many companies have invested in e-mail advertisement as e-mail service is spread. E-mail advertisement has an advantage that it can consider personal characters. A lot of e-mail users have been given e-mails that they did not want to receive because their e-mail addresses were opened out to companies on internet. Therefore, they need junk mail checking systems and several e-mail service providers have supported junk mail filters. However, the junk mail filters can check the junk mail with constraint because they don't check the junk degree of mails by the contents of e-mail. This paper suggests a content-based junk mail checking model using fuzzy relational products. The process of the junk mail checking model using fuzzy relational products is as following: (1) analyzes semantic relation between junk words-base and e-mails, (2) checks the junk degree of the e-mail using the semantic relation, (3) checks the mails with SVJ(Standard Value of Junk) if those are junk mail or non-junk mail. The efficiency of the proposed technique is proved by comparing the junk degree of the e-mail and the number of junk mails that was checked by e-mail users and checked by the proposed junk mail checking model.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.113-119
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• 2009

In Ubiquitous Information society, real shape of spatial information and accurate position information are required. Spatial information standardization is needed to service for the people. International standard was defined to ensure compatibilities of various standards, technologies, and terminologies and to promote mutual trade certain criteria and standard forms were established through international agreement. International standard is made by International Organization for Standardization, and International Standard Organization Technical Committee 211 manages the geographic information field. ISO TC 211 is working on LADM (Land Administration Domain Model) which defines administration law and spatial surveying component related to land and efficiently manages data and land systems of the countries. This study introduced processing of standardization of a surveying package which is related with LADM and comparing it with Korea Cadastral information system.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.295-298
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• 2010

본 논문에서는 어휘정보를 사용하는 한국어 구문분석 성능과 거의 비슷한 성능을 내는 비어휘정보 한국어 의존 구문분석에 대해서 설명한다. 본 논문에서는 어휘정보를 대신해서 품사정보와 어절 구문태그 정보를 사용하고 CRFs를 사용하여 레이블링 방법으로 구문분석 한다. 자질을 변경하여 어절 처음에 나타나는 용어 정보와 뒤 어절의 용언 정보를 추가하였다. 본 논문에서 제시하는 실험 결과(어절:85.73%, 문장:43.86%)는 현재 최고의 성능을 내는 어휘정보 사용 한국어 구문분석과 비슷하다. 본 논문에서 제안한 비어휘정보 구문분석 방법은 어휘정보 구문분석에 비해 모델 사이즈가 작고 처리방법이 간단하여 쉽게 다른 도메인에 적용이 가능할 것으로 기대한다.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.1-28
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• 2021

FinTech has been discussed as an important business area towards technology-driven financial innovation. The term fintech is a combination of finance and technology, which means ICT technology currently associated with all finance areas. The popularity of the fintech industry has significantly increased over time, with full investment and support for numerous startups. Therefore, both academia and practice tried to analyze the trend of the fintech area. Despite the fact, however, previous research has limitations in terms of collecting relevant databases for fintech and identifying proper application areas. In response, this study proposed a new method for analyzing the trend of Fintech fields by expanding Fintech's terminology and using network analysis and topic modeling. A new Fintech terminology list was created and a total of 18,341 patents were collected from USPTO for 10 years. The co-classification analysis and network analysis was conducted to identify the technological trends of patent classification. In addition, topic modeling was conducted to identify the trends of fintech in order to analyze the contents of fintech. This study is expected to help both managers and investors who want to be involved in technology-driven financial services seize new FinTech technology opportunities.