• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.105-113
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• 2014

In this paper, we propose an OWL DL mapping rules for construction legal ontology based on the analyzed relationship between the structural features and elements of the statute. The mapping rule to be proposed is the method building the structure of the domestic statute, unique attribute of the statute, and reference relation between laws with TBox, and the legal sentence is analyzed, and the pattern type of the sentence is selected. It expresses with ABox. The proposed mapping rule is transformed to the information in which the computer can process the domestic legal document. It is usable for the legal knowledge base.

• International Journal of Contents
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• v.12 no.2
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• pp.24-30
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• 2016

Ontology is known to be one of the most important technologies in achieving semantic web. It is critical as it represents the knowledge in a machine readable state. World Wide Web Consortium (W3C) has been contributing to the development of ontology for the last several years. However, the recommendation of W3C left out HTML despite the massive amount of information it contains. Also, it is difficult and time consuming to keep up with all the technologies especially in the case of constructing ontology. Thus, we propose a module and methods that reuse HTML documents, extract necessary information from HTML tags and mapping it to OWL 2. We will be combining two kinds of approaches which will be the structural refinement for making an ontology skeleton and linguistic approach for adding detailed information onto the skeleton.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.35-47
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• 2011

This paper proposes a set of rules to automatically generate OWL ontologies from relational databases. The purpose of the rules is to allow semantic access to existing RDB data without any database schema transformation and data migration process. In other words, the rules help a RDBMS play as a web ontology repository as well. However, the use of the mapping rules between RDB and OWL proposed by other studies for the objective causes troubles as follows. First, databases including the tables with a specific structure can't be translated into OWL. Second, the process for extracting an OWL individual unnecessarily lead to database join operations, or several SQL queries. On the other hand, our rules is designed to prevent these problems, can generate OWL classes and properties from database schemas and can generate OWL individuals from the database instances. In addition, an ontology generated by our rules is an OWL 2 DL ontology.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.170-176
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• 2006

B2B registries are information systems to registrate B2B related business information such as companies' profiles, business documents, business processes, services and to provide query facilities to find information about potential business partners. In this study, we focus on the design of the repository for B2B business processes. In this paper, a metadata ontology is designed to registrate B2B business processes. In practice, there are several competitive business process definition languages such as ebXML BPSS (Business Process Specification Schema), WSBPEL (Web Service Business Process Execution Language), BPMN (Business Process Modeling Notation), and so on. In order to registrate business processes based on different representation frameworks, the proposed metadata ontology consist of three layers, common metadata, language-specific metadata, and interrelationship metadata. To implement the proposed metadata ontology using ebXML registry, metadata mapping scheme to ebRIM (ebXML Registry Information Model) are also suggested.

• Journal of KIBIM
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• v.12 no.4
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• pp.52-60
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• 2022

Recently, the demand for connection between various heterogeneous dataset and BIM as a construction data model hub is increasing. In the past, in order to connect model between BIM and heterogeneous dataset, related dataset was stored in the RDBMS, and the service was provided by programming a method to link with the BIM object. This approach causes problems such as the need to modify the database schema and business logic, and the migration of existing data when requirements change. This problem adversely affects the scalability, reusability, and maintainability of model information. This study proposes an ontology BIM-based knowledge service framework considering the connectivity and scalability between BIM and heterogeneous dataset. Through the proposed framework, ontology BIM mapping, semantic information query method for linking between knowledge-expressing dataset and BIM are presented. In addition, to identify the effectiveness of the proposed method, the prototype is developed. Also, the effectiveness and considerations of the ontology BIM-based knowledge service framework are derived.

• The Journal of Society for e-Business Studies
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• v.10 no.3
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• pp.21-36
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• 2005

Current web search includes a lot of different results with information that user does not want, because it searches information using keyword mapping. Ontology can describe the correct meaning of web resource and relationships between web resources. And we can extract suitable information that user wants using Ontology Accordingly, we need the ontology to represent knowledge. W3C announced OWL(Web Ontology Language), meaning description technology for such web resource. However, the development of a special tool that can effectively compose and edit OWL is inactive. In this paper, we designed and developed an OWL authoring system that can effectively provide the generation and edit about OWL.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.324-325
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• 2016

The sensor network-based service collects data by using the sensor, the data is aware of the situation via the analysis, and the service provider provides a service suitable for the user via the context-awareness. However, this data is generated, it is difficult to match the metadata and standard units. The data integration is required to use the data generated by the different specifications of the sensor efficiently. Accordingly, in this paper we propose a method using an ontology as a method to integrate the data generated by the existing sensors and the new sensor. The ontology is mapping to the standard item and sensors, also include a type and structural difference. The mapping is comprised of two:data mapping, and metadata mapping. There are standard items that are created in this way, type of data exchange between services. This can solve the heterogeneous problem generated by sensors.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.390-396
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• 2007

Fuzzy-CBR Collision Avoidance Support System is a system that finds a solution from past knowledge retrieved from the database and adapted to a new situation. Its algorithm has resulted to an adapting a solution for a new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new environment and use them as inputs, for a ship collision avoidance support system., Similarity will be obtained through document articulation and using abstraction levels. A conceptual model of a maneuvering situation will be built using these ontologies.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.457-462
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• 2007

시멘틱 웹에서의 온톨로지는 특정 영역의 설명을 위해 공유할 개념화된 명세란 정의로 널리 알려져 있으며, 시멘틱웹의 중요한 요소기술이다. 온톨로지는 특정 도메인에 대한 정보를 기술하는데, 이러한 온톨로지를 매핑할 경우 많은 양의 정보를 통합관리하거나, 상호호환성을 이룰 수 있다. 여러 온톨로지 매핑 방법론의 성능을 평가하는 수단 중 f-measure란 것이 있는다. f-measure의 값은 정확도(precision)과 응답률(recall)에 의해서 결정된다. 정확도와 응답률이 변화함에 따라 f-measure 값도 자연히 변하기 때문에, 높은 f-measure 값을 구하기 위해서는 정확도와 응답률의 밸런스를 조정할 필요가 있다. 본 논문에서는 높은 f-measure값을 얻을 수 있는 정확도와 재현률을 구하는 방법을 휴리스틱적 방법을 통하여 알아보고자 한다.

• Journal of Information Technology Applications and Management
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• v.18 no.4
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• pp.95-118
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• 2011

In developing information systems, conceptual modeling is among the most fundamental means. The importance attributed to conceptual modeling has not only given rise to a lot of modeling methods, but also to the "yet another modeling approach (YAMA)" syndrome and the "not another modeling approach (NAMA)" hysteria. Criticism of conceptual modeling methods usually targets their lacking of theoretical foundations. In response to such criticism, various approaches towards theoretical foundations of conceptual modeling have been proposed so far. One of the recent responses to the quest for theoretical foundations of conceptual modeling is the reference to the philosophical ontology. The currently most prominent of diverse approaches towards ontological foundations of conceptual modeling appears to be the Bunge-Wand-Weber (BWW) ontology. Recent approaches attempt to regard BWW ontology as another conceptual data model as well as a criterion for evaluating various conceptual models. However, unfortunately, relatively few researches have been made on interoperability between the Entity-Relationship (ER) model, which is the most dominant conceptual data model, and ontology based model. In this paper, we investigate the interoperability between ontology and the ER model. In detail we (i) reclassify components of ER model with respect to ontology concepts, (ii) identify some components that cannot be directly represented in ontology notation, and (iii) present alternative representations to the components to acquire ontologically clear ER diagrams. Additionally, we (iv) present a set of mapping rules for converting the ontologically clear ER diagram into the corresponding ontology. In a case study, we show the process of converting an ER diagram for a concise Project Management System (PMS) into the ontologically clear ER diagram and the corresponding ontology. We also describe an experiment that we undertook to test whether users understand the Ontologically-Clear ER diagram better.