• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.23-26
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• 2006

최근 대부분의 이러닝(E-Learning)을 교육하는 사이트는 학습 콘텐츠를 검색하는 방법이 단순한 리스트의 나열과 택스트 매칭(Text matching)방법을 사용하는 단점이 있다. 이를 보완하기 위해 좀 더 컴퓨터가 정보 데이터의 의미를 분석하여 검색이 가능하도록 개념 네트워크인 시맨틱웹(Semantic Web)이 등장하였다. 본 논문에서는 이러한 시맨틱웹의 온톨로지(Ontology) 언어 중에 토픽맵(Topic Maps)을 사용하여 많은 양의 학습 정보 데이터를 쉽고도 정확하게 연결 지어 학습 콘텐츠에 대한 정보를 표현하고, 구조화할 수 있는 방법을 모색해 보고자 한다. 학습자의 관심분야 정보, 학습객체의 학습 권장자의 정보와 함께 학습 경험과 검색 빈도수를 분석한 협력 필터링과 학습 에이전트의 개인화 기법을 동시에 사용하여 선호도를 분석한다. 이 선호도를 가지고 학습자의 메타데이터를 생성하고, 로그 데이터를 따로 데이터베이스에 저장한다. 이러한 학습자의 정보와 학습 콘텐츠간의 정보를 상호 연결하여, 그 토픽맵을 사용하여 연관관계를 정의해 줌으로써 학업성취도를 높이고, 학습자 개개인의 성향에 가장 알맞은 학습 콘텐츠를 탐색해가는 네비게이터(Navigator)를 설계하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11c
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• pp.1513-1516
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• 2003

현재의 웹 검색은 단순히 키워드 매칭만을 수행하기 때문에 검색 결과가 사용자가 원하는 정보와는 의미적으로 상이한 결과들을 많이 포함하고 있다. 사용자가 원하는 정보와 의미적으로 정확히 일치하는 정보들을 추출하기 위해서는 웹 자원에 대한 정확한 의미 부여와 함께, 이를 파악하고 선택적으로 획득, 통합, 가공할 수 있는 온톨로지와 같은 시맨틱 웹 환경요소들이 필요하다. 웹 기술 표준화 단체인 W3C에서는 이와 같은 웹 자원에 대한 의미표현 기술로 OWL(Web Ontology Language)이라는 웹 온톨로지 표현 언어를 발표하였으나 아직 이를 효과적으로 저작, 편집할 수 있는 도구는 전무한 실정이다. 따라서 본 논문은 OWL을 기반으로 하여 온톨로지의 생성 및 편집을 효과적으로 제공할 수 있는 통합된 저작도구를 설계 및 구현하였다.

• Journal of Information Technology Services
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• v.8 no.1
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• pp.203-215
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• 2009

This paper illustrates the application of co-occurrence theory to generate lightweight ontologies semi-automatically. The proposed model includes three steps of a (Semi-) Automatic creation of Ontology; (they are conceptually named as) the Syntactic-based Ontology, the Semantic-based Ontology and the Ontology Refinement. Each of these three steps are designed to interactively work together, so as to generate Lightweight Ontologies. The Syntactic-based Ontology step includes generating Association words using co-occurrence in web documents. The Semantic-based Ontology step includes the Alignment large Association words with small Ontology, through the process of semantic relations by contextual terms. Finally, the Ontology Refinement step includes the domain expert to refine the lightweight Ontologies. We also conducted a case study to generate lightweight ontologies in specific domains(news domain). In this paper, we found two directions including (1) employment co-occurrence theory to generate Syntactic-based Ontology automatically and (2) Alignment large Association words with small Ontology to generate lightweight ontologies semi-automatically. So far as the design and the generation of big Ontology is concerned, the proposed research will offer useful implications to the researchers and practitioners so as to improve the research level to the commercial use.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.130-131
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• 2014

시맨틱 웹은 1998년 웹의 창시자인 Tim Berners Lee가 제안을 한 웹 기술로써 인간의 언어를 이해하고 인간과 쉽게 의사소통이 가능한 네트워크를 말한다. 즉 컴퓨터 스스로 웹에 연결된 정보의 의미를 인식하고 사용자가 필요로 하는 정보를 검색하며 검색된 정보에서 지식을 유추할 수 있는 기능을 제공하는 지능형 웹 환경이다. 이런 시맨틱 웹 개념을 적용한 사례로는 네이버 시맨틱 웹 영화검색 이있다. 본 논문에서는 네이버 시맨틱 웹 영화검색 시스템을 벤치마킹한 도서검색 서비스 설계를 제안하고자 한다. 본 도서검색 서비스는 온톨로지 개념을 적용하여 도서와 관련된 검색 카테고리를 설정하며, 간단한 시나리오는 다음과 같다. 한 권의 책을 검색하면 해당 책과 연관된 첫 번째 카테고리로 출판사, 제작한 년도, 저자, 장르, 관련 검색 도서 등의 데이터들이 상단에 제시된다. 제시된 카테고리에서 임의의 항목을 선택하면 그 하단 공백에 선택된 항목과 연관된 카테고리에 해당하는 항목들이 제시된다. 예를 들어, 출판사를 선택한다면 해당 출판사에서 출간된 도서들이 하단 공백에 열거가 되고 상단 두 번째 카테고리에 원작국가, 저자 관련 책, 수상정보, 공동 집필자, 책을 원작으로 확장된 컨텐츠 등 또 다른 카테고리가 우측으로 생성이 되며 선택을 할 수 있게 된다. 본 논문에서 제안하는 시맨틱 웹 기반 도서검색 서비스는 사용자가 검색하고자 하는 정보를 보다 효율적이고 사용자 중심에서 제공할 수 있다고 사료된다.

• Journal of Korea Multimedia Society
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• v.17 no.2
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• pp.240-247
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• 2014

Data which is created and shared on the Web is characterized by the massive amount of user generated content on various applications and dynamically evolving content on the basis of user interests. Thus, in order to benefit from Web data, it is essential to provide (a) the mechanisms which enable scalable processing of large data collections and (b) the organization schemes which reduce the navigational overhead within complex and dynamically growing content. Between these two impending needs, in this paper, we are interested in developing an indexing scheme which aims to reduce the time and effort needed to access the relevant piece of information by leveraging ontologies. In particular, considering evolving nature of Web contents, the proposed technique in this paper computes the sub-ontology, which best matches a given data collection, from the existing large size of ontology. Case studies show that the proposed indexing scheme in this paper indeed helps organize dynamically evolving content.

• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.141-158
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• 2009

The requirements of knowledge customization have increased as information resources have become more various and the numbers of the resources are increased. Even if the method for collecting the information has improved like Really Simple Syndication (RSS), information users are still struggling for extracting and customizing the required information through the Web. To reduce the burden, we offer the dynamic knowledge customization framework by using ontology-based CBR. The framework consisting of three phases is comprised of the conversion phase of web information as a machine-accessible case, the extraction phase to find a case appropriate for information users' requirements, and the case customization phase to create knowledge depending on information user's requirements. Newly, the dynamic and intensity-based similarity is adopted to support timely dynamic change of users' requirements. The framework has adopted to create traveler's knowledge to the level users wanted.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.133-140
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• 2012

In this paper, we propose a music recommendation method considering users' tags by collaborative tagging in a social music site. Since collaborative tagging allows a user to add keywords chosen by himself to web resources, it provides users' preference about the web resources concretely. In particular, emotional tags which represent human's emotion contain users' musical preference more directly than factual tags which represent facts such as musical genre and artists. Therefore, to classify the tags into the emotional tags and the factual tags and to assign weighted values to the emotional tags, a tag ontology called UniTag is developed. After preprocessing the tags, the weighted tags are used to create user profiles, and the music recommendation algorithm is executed based on the profiles. To evaluate the proposed method, a conventional playcount-based recommendation, an unweighted tag-based recommendation, and an weighted tag-based recommendation are executed. Our experimental results show that the weighted tag-based recommendation outperforms other two approaches in terms of precision.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.359-368
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• 2013

Mashup is a web application that combines several different sources to create new services using Open APIs(Application Program Interfaces). Although the mashup has become very popular over the last few years, there are several challenging issues when combining a large number of APIs into the mashup, especially when composite APIs are manually integrated by mashup developers. This paper proposes a novel algorithm for automatic Open API composition. The proposed algorithm consists of constructing an operation connecting graph and searching composition candidates. We construct an operation connecting graph which is based on the semantic similarity between the inputs and the outputs of Open APIs. We generate directed acyclic graphs (DAGs) that can produce the output satisfying the desired goal. In order to produce the DAGs efficiently, we rapidly filter out APIs that are not useful for the composition. The algorithm is evaluated using a collection of REST and SOAP APIs extracted from ProgrammableWeb.com.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1861-1867
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• 2010

A datawarehouse is generally used in organizations for decision and policy making. And In a distribute environment when a new system is added, there needs considerable amount of time and cost due to the difference between the systems. Therefore, to solve this matter. Firstly, heterogeneous data structures can be handled by creating abstract queries according to the standard schema and by separating the queries using XMDR. Secondly, metadata dictionary which defines synonyms of metadata and methods for data expression is used to overcome difference of definition and expression of data. Especially, work presented in this thesis provides standardized information for data integration and minimizing the effects of integration on local systems in discrete environments using XMDR to create information of data warehouse in realtime.

• The Journal of Society for e-Business Studies
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• v.11 no.3
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• pp.53-71
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• 2006

In order to cope with the rapidly changing product development environment, individual manufacturing enterprises are forced to collaborate with each other through establishing a virtual organization. In collaboration, designated organizations work together for mutual gain based on product data interoperability. However, product data interoperability is not fully facilitated due to semantic inconsistency among product data models of individual enterprises. In order to overcome the semantic inconsistency problem, this paper proposes a reference ontology, Reference Domain Ontology(RDO), and a methodology for product data interoperability with semantic consistency using RDO. RDO describes semantics of product data model and metamodel for all application domains in a virtual organization. Using RDO, application domains in a virtual organization can easily understand the product data models of others. RDO is agile and temporal such that it is created with the formation of a virtual organization, copes with changes of the organization, and disappears with the vanishment of the organization. RDO is built by a hybrid approach of top-down using a upper ontology and bottom-up based on the merging of ontologies of application domains in a virtual organization. With this methodology, every domain in a virtual organization can achieve product data model interoperability without model transformation.