• Journal of the Korea Society of Computer and Information
• /
• v.10 no.3 s.35
• /
• pp.229-236
• /
• 2005

The Semantic Web enables machines to achieve an effective retrieval, integration, and reuse of web resources. The keyword search method currently used has a limit to accurate search results because of a simple string matching method in web environment. This paper proposes an Ontology-Based Information Retrieval which can solve the problems and retrieve better search results through semantic relations. In this system, we implemented the Cultural Assets Ontology based on OWL with RDQL and Jena API. we also suggest a method to handle properties stored in a database.

• Proceedings of the Membrane Society of Korea Conference
• /
• 2005.05a
• /
• pp.27-28
• /
• 2005

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.06a
• /
• pp.271-274
• /
• 2007

본 논문에서는 한방 온톨로지 기반의 자가진단 시스템을 위해 Jena API를 이용해 한방 온톨로지 기반의 관계를 검색하고, 이를 통해 검색 결과에 대한 정의와 속성 그리고 관계정보를 출력하는 시스템을 설계하고 구축하였다. 온톨로지 기반의 지능화된 의료 서비스를 이용함으로써, 한방분야의 질병 및 증상 정보에 정확성을 부여하고 체계적이고 질적으로 향상된 데이터를 제공한다. 온톨로지 기반의 추론시스템은 다음과 같은 특징이 있다. 첫째, 의미정보가 존재함으로써 검색가 틀려도 의미를 통한 추론이 가능하다. 둘째, 의미와 관계의 추론을 통해 정확한 매치가 없을 경우 유사 개념으로 매칭이 가능하다. 셋째, 단순한 키워드의 매칭이 아닌 의미정보를 이용한 정확한 매칭이 가능하다. 넷째, 관계정보를 이용하여 검색의 관련 정보를 추론할 수 있다.

• Proceedings of the Korea Environmental Mutagen Society Conference
• /
• 2003.05a
• /
• pp.38-38
• /
• 2003

• Proceedings of the Korea Water Resources Association Conference
• /
• 2005.09b
• /
• pp.885-886
• /
• 2005

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.11
• /
• pp.5518-5524
• /
• 2012

The world today, has come to an age of diverse paradigms and technologies being developed, and technology of a new field is realized by merging technologies of different fields.One of such, u-Health system refers to a system which can monitor its users, regardless of time and place, using many body sensor datas based on USN (Ubiquitous Sensor Network). In the past, this kind of u-Health system was able to collect sensor datas through wires and could be monitored only by using PC (Personal Computer), but with development in technology, the system is now becoming possible to collect sensor datas wireless and monitor unhindered by time and place. This research aims to collect sensor datas of the user, and through Jena inference network, provide web service and smartphone application which enables checking of user's body datas in times of emergency, whenever, wherever.

• Journal of the Korean Society for information Management
• /
• v.28 no.2
• /
• pp.177-193
• /
• 2011

This study constructed an ontology targeting journal articles and evaluated its performance. Also, the performance of a triple structure ontology was compared with the knowledge base of an inverted index file designed for a simple keyword search engine. The coverage was three years of articles published in the Journal of the Korean Society for Information Management from 2007 to 2009. Protege was used to construct an ontology, whilst utilizing an inverted index file to compare performance. The concept ontology was manually established, and the bibliography ontology was automatically constructed to produce an OWL concept ontology and an OWL bibliography ontology, respectively. This study compared the performance of the knowledge base of the ontology, using the Jena search engine with the performance of an inverted index file using the Lucene search engine. As a result, The Lucene showed higher precision rate, but Jena showed higher recall rate.

• Pediatric Gastroenterology, Hepatology & Nutrition
• /
• v.24 no.1
• /
• pp.65-74
• /
• 2021

Purpose: The coronavirus disease 2019 (COVID-19) pandemic has influenced the lives of people worldwide. Little is known about the effects of the COVID-19 pandemic on the behavior and fears of pediatric patients with inflammatory bowel disease (IBD) and their families. We conducted a survey to determine the COVID-19 exposure, related perceptions, and information sources; medication compliance; and patients' and parents' behaviors, fears, and physician contact. Methods: An anonymous cross-sectional survey of pediatric patients with IBD and their parents at one pediatric gastroenterology unit of a university medical center was performed. Results: A total of 46 pediatric patients with IBD and 44 parents completed the survey. Parents of pediatric patients with IBD had high fear of their children becoming infected with severe acute respiratory syndrome coronavirus 2. They perceived schools as the most hazardous environment, whereas the children did not. Half the pediatric patients with IBD feared infection. Patients and parents felt sufficiently informed about COVID-19. The primary source of guidance for pediatric patients was their parents (43%), followed by television and social media, whereas the parents mainly consulted internet news websites (52.2%), television, and public health institutes. Pediatric patients with IBD adhered to their prescribed medication. They also showed cautious behavior by enhancing hand hygiene (84%) and leaving the house less frequently than before. However, in-person medical visits remained favored over video consultations. Conclusion: Although parents expressed overprotective concerns, both parents and pediatric patients with IBD are coping well with the COVID-19 pandemic. IBD-relevant information should be actively conveyed.

• Journal of KIISE:Databases
• /
• v.35 no.3
• /
• pp.231-242
• /
• 2008

W3C has selected OWL as a standard for Web ontology description and a necessity of research on storage models that can store OWL ontologies effectively has been issued. Until now, relational model-based storage systems such as Jena, Sesame, and DLDB, have been developed, but there still remain several issues. Especially, they lead inefficient query processing performance. The structural problems of their low query processing performance are as follow: Jena has a simple structure which is not normalized and also stores most information in a single table. It exponentially decreases the performance because of comparison with unnecessary information for processing queries requiring join operations as well as simple search. The structures of storages(e.g., Sesame) have been completely normalized. Therefore it executes many join operations for query processing. The storages require many join operations to find simply a specific class. This paper proposes a storage model to resolve the problems that the query processing performance is decreased because of non-normalization or complete normalization of the existing storages. To achieve this goal, we analyze the problems of existing storage models as well as relations of OWL elements and query patterns. The proposed model, defined with the analysis results, provides an optimal normalized structure to minimize join operations or unnecessary information comparison. For the experiment of query processing performance, a LUBM data sets are used and query patterns are defined considering search targets and their hierarchical relations. In addition, this paper conducts experiments on correctness and completeness of query results to verify data loss of the proposed model, and the results are described. With the comparative evaluation results, our proposal showed a better performance than the existing storage models.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2003.05a
• /
• pp.17-25
• /
• 2003