• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.61-83
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• 2012

A knowledge map describes the network of related knowledge into the form of a diagram, and therefore underpins the structure of knowledge categorizing and archiving by defining the relationship of the referential navigation between knowledge. The referential navigation between knowledge means the relationship of cross-referencing exhibited when a piece of knowledge is utilized by a user. To understand the contents of the knowledge, a user usually requires additionally information or knowledge related with each other in the relation of cause and effect. This relation can be expanded as the effective connection between knowledge increases, and finally forms the network of knowledge. A network display of knowledge using nodes and links to arrange and to represent the relationship between concepts can provide a more complex knowledge structure than a hierarchical display. Moreover, it can facilitate a user to infer through the links shown on the network. For this reason, building a knowledge map based on the ontology technology has been emphasized to formally as well as objectively describe the knowledge and its relationships. As the necessity to build a knowledge map based on the structure of the ontology has been emphasized, not a few researches have been proposed to fulfill the needs. However, most of those researches to apply the ontology to build the knowledge map just focused on formally expressing knowledge and its relationships with other knowledge to promote the possibility of knowledge reuse. Although many types of knowledge maps based on the structure of the ontology were proposed, no researches have tried to design and implement the referential navigation-enabled knowledge map. This paper addresses a methodology to build the ontology-based knowledge map enabling the referential navigation between knowledge. The ontology-based knowledge map resulted from the proposed methodology can not only express the referential navigation between knowledge but also infer additional relationships among knowledge based on the referential relationships. The most highlighted benefits that can be delivered by applying the ontology technology to the knowledge map include; formal expression about knowledge and its relationships with others, automatic identification of the knowledge network based on the function of self-inference on the referential relationships, and automatic expansion of the knowledge-base designed to categorize and store knowledge according to the network between knowledge. To enable the referential navigation between knowledge included in the knowledge map, and therefore to form the knowledge map in the format of a network, the ontology must describe knowledge according to the relation with the process and task. A process is composed of component tasks, while a task is activated after any required knowledge is inputted. Since the relation of cause and effect between knowledge can be inherently determined by the sequence of tasks, the referential relationship between knowledge can be circuitously implemented if the knowledge is modeled to be one of input or output of each task. To describe the knowledge with respect to related process and task, the Protege-OWL, an editor that enables users to build ontologies for the Semantic Web, is used. An OWL ontology-based knowledge map includes descriptions of classes (process, task, and knowledge), properties (relationships between process and task, task and knowledge), and their instances. Given such an ontology, the OWL formal semantics specifies how to derive its logical consequences, i.e. facts not literally present in the ontology, but entailed by the semantics. Therefore a knowledge network can be automatically formulated based on the defined relationships, and the referential navigation between knowledge is enabled. To verify the validity of the proposed concepts, two real business process-oriented knowledge maps are exemplified: the knowledge map of the process of 'Business Trip Application' and 'Purchase Management'. By applying the 'DL-Query' provided by the Protege-OWL as a plug-in module, the performance of the implemented ontology-based knowledge map has been examined. Two kinds of queries to check whether the knowledge is networked with respect to the referential relations as well as the ontology-based knowledge network can infer further facts that are not literally described were tested. The test results show that not only the referential navigation between knowledge has been correctly realized, but also the additional inference has been accurately performed.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.172-175
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• 2007

시맨틱 웹 응용의 구현에 있어 가장 중요한 기술이 시맨틱 웹의 특징을 만족하는 웹 온톨로지의 구축임에도 불구하고, 대부분 웹 온톨로지의 구축에 적용된 기법들이 시맨틱 웹과 웹 온톨로지의 특징을 만족하지 못함에 따라 시맨틱 웹 응용의 발전과 보급이 미흡하다. 따라서 본 연구는 온톨로지와 웹 온톨로지 관련 연구들을 분석하여 시맨틱 웹을 위한 웹 온톨로지의 특징들을 파악하고, 기존 온톨로지 구축과 웹 온톨로지 구축을 위해 제안된 구축 기법들을 비교 분석하여 시맨틱 웹과 웹 온톨로지의 특징에 적합한 웹 온톨로지 구축 기법을 제안하였다.

• Annual Conference on Human and Language Technology
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• 2014.10a
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• pp.228-232
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• 2014

지식 베이스(Knowledge Base)는 주어진 질의 문에 대한 잠재적인 답과 답에 대한 단서가 될 수 있는 구조화된 형태의 정보를 포함하고 있기 때문에 질의응답 시스템에서 매우 중요하다. 하지만 비록 DBpedia, Freebase, YAGO 등과 같이 이용 가능한 여러 개의 지식 베이스가 존재함에도 불구하고 이러한 지식 베이스에 포함되어 있는 정보는 웹(Web)상에 존재하는 정보에 비하면 매우 제한적이다. 본 논문에서는 무제한 정보 추출 기술을 이용하여 정형화되지 않은 텍스트로부터 트리플(Triple)을 추출하고, 추출된 트리플의 각 개체 및 관계 어휘를 대상 온톨로지(Ontology) 상의 어휘에 사상시킴으로써 지식 베이스를 확장 시키는 방법을 제안한다. 이를 통하여 무제한 정보 추출 방법과 명확화(Disambiguation) 기술이 지식 베이스를 확장시키는데 어떻게 사용될 수 있고, 어떠한 요소가 전체 시스템의 주된 성능 저하를 일으키며 개선되어야 하는지 알아보도록 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.279-282
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• 2012

본 연구에서는 혼합형 온톨로지 구축방법론을 이용하여 ATCIS 체계에 활용 가능한 국방온톨로지의 구축 과정을 보여주고자 한다. 이를 위해, 실제 ATCIS의 데이터베이스 정보들을 활용하였고 해당 방법론이 ATCIS 체계에 적용될 때 추가적으로 고려해야 할 사항들을 함께 분석하였다. 이러한 연구 결과는 향후 보다 실용적인 국방온톨로지 구축을 위한 기반 자료로 활용될 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.28-31
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• 2008

시맨틱 웹의 기반인 온톨로지는 검색, 추론, 지식표현 등 다양한 분야에서 사용하고 있다. 하지만 잘 구성된 온톨로지를 개발하는 것은 시간적, 물질적으로 많은 자원이 소모된다. 온톨로지를 자동으로 구축하면 이러한 소모를 줄일 수 있는 장점이 있다. 본 논문에서는 자연어처리를 온톨로지 자동 구축에 사용하기 위하여 자연어의 서술부분을 온톨로지의 서술어로 변환할 수 있는 서술어 온톨로지를 제안한다. 그리고 제안된 서술어 온톨로지를 사용하여 자연어 문장의 서술어 부분을 온톨로지의 predicate 로 변환하는 알고리즘을 소개한다. 또한 제안된 온톨로지를 온톨로지 언어인 OWL을 사용하여 구축하였다.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.149-162
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• 2014

Course guidance is a mentoring process which is performed before students register for coming classes. The course guidance plays a very important role to students in checking degree audits of students and mentoring classes which will be taken in coming semester. Also, it is intimately involved with a graduation assessment or a completion of ABEEK certification. Currently, course guidance is manually performed by some advisers at most of universities in Korea because they have no electronic systems for the course guidance. By the lack of the systems, the advisers should analyze each degree audit of students and curriculum information of their own departments. This process often causes the human error during the course guidance process due to the complexity of the process. The electronic system thus is essential to avoid the human error for the course guidance. If the relation data model-based system is applied to the mentoring process, then the problems in manual way can be solved. However, the relational data model-based systems have some limitations. Curriculums of a department and certification systems can be changed depending on a new policy of a university or surrounding environments. If the curriculums and the systems are changed, a scheme of the existing system should be changed in accordance with the variations. It is also not sufficient to provide semantic search due to the difficulty of extracting semantic relationships between subjects. In this paper, we model a course mentoring ontology based on the analysis of a curriculum of computer science department, a structure of degree audit, and ABEEK certification. Ontology-based course guidance system is also proposed to overcome the limitation of the existing methods and to provide the effectiveness of course mentoring process for both of advisors and students. In the proposed system, all data of the system consists of ontology instances. To create ontology instances, ontology population module is developed by using JENA framework which is for building semantic web and linked data applications. In the ontology population module, the mapping rules to connect parts of degree audit to certain parts of course mentoring ontology are designed. All ontology instances are generated based on degree audits of students who participate in course mentoring test. The generated instances are saved to JENA TDB as a triple repository after an inference process using JENA inference engine. A user interface for course guidance is implemented by using Java and JENA framework. Once a advisor or a student input student's information such as student name and student number at an information request form in user interface, the proposed system provides mentoring results based on a degree audit of current student and rules to check scores for each part of a curriculum such as special cultural subject, major subject, and MSC subject containing math and basic science. Recall and precision are used to evaluate the performance of the proposed system. The recall is used to check that the proposed system retrieves all relevant subjects. The precision is used to check whether the retrieved subjects are relevant to the mentoring results. An officer of computer science department attends the verification on the results derived from the proposed system. Experimental results using real data of the participating students show that the proposed course guidance system based on course mentoring ontology provides correct course mentoring results to students at all times. Advisors can also reduce their time cost to analyze a degree audit of corresponding student and to calculate each score for the each part. As a result, the proposed system based on ontology techniques solves the difficulty of mentoring methods in manual way and the proposed system derive correct mentoring results as human conduct.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.243-258
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• 2004

Building a domain-suited ontology, as a means to implement the Semantic Web, is widely believed to offer users the benefit of exploiting the semantic knowledge constrained in the application. Electronic Catalog, shortly e-Catalog, manages the information about the goods or conditions play an important role in e-commerce domain. Consequently, semantically enriched yet precise information by the ontology may elaborate the business transactions. In this paper, we analyze the semantic relationships embodied within the catalog domain, as the first step towards the ontological modeling of e-catalog. Exploring ontology should leverage not only the representation of semantic knowledge but also provide the inferencing capability for the model. We employ the EER(extended Entity Relationships) for the basic model. Each modeling construct can be directly translated by DL(Description Logics). Semantic constraints that can be hardly represented in EER are directly modeled in DL.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.11
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• pp.443-450
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• 2018

Crohn's disease, which is recently increasing in Korea, may be seen throughout the gastrointestinal tract and cause various symptoms. In particular, Crohn's disease is especially difficult to diagnose with several symptoms similar to other ulcerative colonic diseases. Thus, some studies are underway to distinguish two or more similar diseases. However, the previous studies have not described the procedural diagnosis process of it, which may lead to over-examination in the process. Therefore, we propose a diagnosis process of Crohn's disease based on the analysis of redundancy, sequential linkage and decision point in the diagnosis of Crohn's disease, so that it enables to identify ulcerative colonic diseases with symptoms similar to Crohn's disease. Finally, we can distinguish the colon diseases that have symptoms similar to Crohn's disease and help diagnose Crohn's disease effectively by defining the proposed process-oriented association as an ontology. Applying the proposed ontology to 5 cases showed that more accurate diagnosis was possible and in one case it could be diagnosed even with fewer tests.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.3
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• pp.163-188
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• 2017

This study aims to propose disaster safety information service model based on LOD for effective management and dissemination of the information. To achieve the aim of this study, current state of disaster safety information was analyzed through online search and face-to-face interviews, and then the information was divided into 6 types. Finally, this study proposed specific process of building disaster safety information LOD service with considerations reflecting the information characteristics. The process for building LOD was based on Guidelines for Building Linked Data written by National Information Society Agency. Especially, ontology concept model was defined by using standard lexical resources and modeling tools based on 6 types of disaster safety information, and classes and properties were proposed. The results of this study will make disaster safety information more useful for common people.

• Journal of the Korea Society for Simulation
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• v.17 no.2
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• pp.31-47
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• 2008

As OWL(Web Ontology Language) has been selected as a standard ontology description language by W3C, many ontologies have been building and developing in OWL. The lena developed by HP as an Application Programming Interface(API) provides various APIs to develop inference engines as well as storages, and it is widely used for system development. However, the storage model of Jena2 stores most owl documents not acceptable into a single table and it shows low processing performance for a large ontology data set. Most of all, Jena2 storage model does not consider hierarchical structures of classes and properties. In addition, it shows low query processing performance using the hierarchical structure because of many join operations. To solve these issues, this paper proposes an OWL ontology relational database model. The proposed model semantically classifies and stores information such as classes, properties, and instances. It improves the query processing performance by managing hierarchical information in a separate table. This paper also describes the implementation and evaluation results. This paper also shows the experiment and evaluation result and the comparative analysis on both results. The experiment and evaluation show our proposal provides a prominent performance as against Jena2.