• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.21-30
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• 2009

Semantic web uses ontology languages such as RDF, RDFS, and OWL to define the metadata on the web. There have been many researching efforts in the semantic web technologies based on an agent for extracting triple and relation about concept of ontology. But the extraction of relation and triple about the concept of ontology based on an agent ends up writing a limited query statement as characteristics of an agent. As for this, there is the less of flexibility when extracting triple and relation about the other concept of ontology. We are need a query tool for flexible information retrieval of ontology that is can access the standard ontology and can be used standard query language. In this paper, we propose a SPARQL query tool that is can access the OWL ontology via HTTP protocol and it can be used to make a query. Query result can be output to the soap message. These operations can be support the web service.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.389-403
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• 2008

As the information of web dramatically increase, the existing web reveals more and more limitations in information search because web pages are designed only for human consumption by mixing content with presentation. In order to improve this situation, the Semantic Web comes on the stage by W3C. Semantic web is based on ontology that defines relationships between resources and it is enough to bring a significant advancement in web search. But to do this, the Semantic Web must provide a novel search and visualization methods which can make users instantly and intuitively understand why and how the results are retrieved because ontology has formal explicit descriptions of meaning. In this paper, we propose a semantic association-based search methodology that consists of how to find relevant information for a given user's query in the ontology, that is, a semantic network of resources and properties and how to provide proper visualization and navigation methods on the results. From this work, users can search the semantically associated resources for their query and also navigate such associations between resources.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.919-929
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• 2022

As a new type of healthy public space, greenway users carry out leisure activities, exercise, sightseeing and necessary transportation in greenway. However, at present, there is little research on greenway users' evaluation and perception of greenway, and there is no comprehensive exploration of Greenway environment from a humanistic perspective. Combined with the research and actual situation of the existing representative greenways in Chinese cities, this paper refers to a large number of documents, applies the semantic difference method and multiple regression analysis method, analyzes the current situation of the Dongfengqu greenway, explores the influencing factors and impact evaluation of the greenway environment from the perspective of greenway users' perception, and puts forward suggestions on the optimization of the greenway environment in Zhengzhou from multiple levels. The main conclusion of this paper comes from the data conclusion obtained by semantic difference method, which is feasible in the resident evaluation of greenway use. The feedback results of post use evaluation can provide a reliable reference for the planning and design of similar greenways in the future.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.18-30
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• 2020

Recently, as graph-structured data is widely used in various fields such as social networks and semantic Webs, needs for an effective and efficient search on a large amount of graph data have been increasing. Previous keyword-based search methods often find results by considering only the relevance to a given query. However, they are likely to produce semantically similar results by selecting answers which have high query relevance but share the same content nodes. To improve the diversity of search results, we propose a top-k search method that finds a set of subtrees which are not only relevant but also diverse in terms of the content nodes by controlling their similarity. We define a criterion for a set of diverse answer trees and design two kinds of diversified top-k search algorithms which are based on incremental enumeration and A^⁎ heuristic search, respectively. We also suggest an improvement on the A^⁎ search algorithm to enhance its performance. We show by experiments using real data sets that the proposed heuristic search method can find relevant answers with diverse content nodes efficiently.

• Journal of Convergence Society for SMB
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• v.6 no.4
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• pp.79-84
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• 2016

A novel diagnosis scheme PCADP(personalized computer aided diagnosis probability) is proposed to overcome the problems mentioned above. PCADP scheme is a personalized diagnosis method based on ontology and it makes the bio-data analysis just a 'process' in the Smart healthcare service system. In addition, we offer a semantics modeling of the smart healthcare ontology framework in order to describe smart healthcare data and service specifications as meaningful representations based on this PCADP. The PCADP scheme is a kind of statistical diagnosis method which has real-time processing, characteristics of flexible structure, easy monitoring of decision process, and continuous improvement.

• Journal of the Society of Naval Architects of Korea
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• v.47 no.4
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• pp.613-627
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• 2010

Ships and off-shore plants have very long lifecycles. Design data of ships and off-shore plants are used as master data in the subsequent phases after the design phase. Therefore, it is an important issue how to convert native design data generated from commercial shipbuilding CAD systems into neutral data with the use of international industrial data standards. International standard-based exchange of ship outfitting and off-shore plant data needs the construction of a library for specifications data of equipment and materials and the provision of external referencing mechanism for retrieving data stored in the library. This paper proposes an approach to construct a specifications data library with the use of ISO 15926 process plants. This library is used for providing specifications data through external referencing when translating ship outfitting data from TRIBON system into ISO 10303 STEP AP 227-formed data.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.412-415
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• 2016

본 연구에서는 학술정보의 효율적 관리 및 서비스 체제를 수립하고 활용성을 강화하기 위해 논문 자동 수집 및 구축, 논문 투고 및 심사, 전자출판, XML 자동 구축에 이르기까지 전주기 기능 구현에 방안을 제시하고 이를 구현한 사례를 소개하고자 한다. 기존 Peer-Review 시스템은 데이터 수집 및 변환파트와 투고 및 심사, 전자출판 파트, XML 구축 파트 등으로 분리되거나 별도로 운영되어 왔다. 본 연구에서는 이러한 기능을 통합적으로 구현하기 위해 KISTI의 Peer-Review 시스템인 ACOMS와 XML 기반 학술정보서비스 시스템(KpubS) 기능 및 프로세스를 통합한 구현 방안을 제시하고 이를 시스템으로 구현하였다. 그러나 아직까지 원문 PDF를 XML로 완전 자동 변환할 수 있는 기술은 없는 상태로써 반자동 변환 기능을 탑재하였다. 본 연구 내용은 다양한 수집 채널을 통해 입수된 학술정보 및 XML 자료에 대한 입력체계를 제공하고, XML 본문으로부터 메타데이터를 자동 식별 및 추출하여 학술정보 DB를 구축 저장하며, 구축된 DB 및 XML 기반의 전자출판 기능 제공과 함께 웹서비스 단계까지의 전주기 공정에 대한 프로세스 모델 및 시스템에 관한 것이다. 이에 데이터베이스 구축을 위한 시간 및 비용을 절감할 수 있을뿐만 아니라, 시맨틱 태깅 및 수식, 표, 그림 정보 제공 등 이용자에게 다양한 형태의 서비스를 제공할 수 있게 되었다.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.131-143
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• 2014

A triple database consisting of a number of three-column tables require high cost of query processing, whereby building a shortcut is known as an effective way to reduce the cost. It is important to figure out what shortcuts needs to be selectively built. Most shortcut selection algorithms make use of a benefit model that considers the query frequency. However they work poor to reflect the database update. In this paper, we consider a benefit model for triple databases. The model considers not only the profit of query response times but also the building and maintenance costs of the shortcuts. We apply the model to design a benefit function which can be plugged in a greedy-based shortcut selection algorithm. We perform the empirical experiments on a real-world dataset and analyze the effect of each factor employed in the benefit function.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.645-648
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• 2004

현재 웹 데이터는 폭발적으로 증가하고 있지만 이를 통해 유용한 정보를 추출한 지식 표현 위주의 웹 데이터는 부족한 실정이다. 이러한 문제점을 해결하기 위해 제안된 시맨틱 웹은 온톨로지를 기반구조로 하고 있다. 그러나 현재 온톨로지의 생성에 관한 기존 연구들은 대부분 도메인 전문가들의 휴리스틱에 의존하는 수작업 형태를 띠고 있다. 이러한 방법은 많은 시간과 노력이 소요될 뿐만 아니라 뜻하지 않은 오류가 나타날 수 있다. 이와 같은 문제를 해결하기 위해 우리는 소프트웨어 공학적인 접근방법을 통하여 온톨로지를 효과적으로 설계 및 생성하는 방법을 제안한다. 우리는 기존의 UML과 OWL을 단순 매핑하는 방법에 MDA 접근법의 장점들을 취하여 통합, 확장하였다. 즉, MDA를 기반으로 UML을 이용하여 온톨로지를 설계한 후 설계된 온톨로지 모델을 XMI를 통해 온톨로지 기술 언어인 OWL로 변환하는 과정을 거쳐 온톨로지를 생성한다. 끝으로 구체적인 보기를 통해 본 논문에서 제안한 방법의 타당성을 보인다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.262-264
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• 2004

OMIM이나 MedLine과 같은 바이오 정보를 포함한 대규모의 데이터베이스에서의 바이오 정보검색이나 추출은 단계별 처리가 상호적인 운용에 의한 것이 아니라 수동 또는 Perl script에 의한 것이 대부분이다. 바이오정보(bio-information)의 효과적 추출과 유추를 위해서는 현재 상이한 스키마로 이루어진 다양한 데이터베이스들 간의 이질적 데이터(heterogeneous data)를 체계적이고 효율적으로 통합하는 표준 방안이 필요하다. 이를 위해서는 서로 다르게 표현된 다양한 개념간의 관계를 표현하는 지식체계가 필요하다. 본 연구에서는 이러한 지식체계인 온톨로지(ontology)와 자원 메타정보(metadata)를 표현하기 위한 국제적 표준안으로 대두되고 있는 시맨틱 웹(semantic web)에서 제공하는 온톨로지, 메타정보, 스키마 통합 안을 발전적으로 적용하여 이질적 바이오 정보의 효율적 통합처리 방안을 제시하고자 하였다.