• The Journal of Society for e-Business Studies
• /
• v.12 no.3
• /
• pp.97-106
• /
• 2007

A core technology that may realize the Semantic Web is Ontology. The OWL (Web Ontology Language) has been positioned as a standard language. It requires technical expertise to directly represent the domain knowledge in OWL. Based on our experience of analyzing the fundamental relationships of concepts in e-catalog domain, we have developed a visual product information modeler called PROMOD. The modeling editor makes it possible to automatically generate the OWL codes for the given product information. We employ an Extended Entity-Relationship for conceptual modeling, enriched with modeling elements specialized for the product domain. In this paper, we present our translation schemes from EER model to OWL codes, and how to design and implement the modeling editor. We also provide a scenario to demonstrate the usage of the editor in practice.

• Journal of Digital Convergence
• /
• v.12 no.7
• /
• pp.229-237
• /
• 2014

Today, the development and performance of a variety of smart phones is increasing with the number of smart phone users were. Advances in mobile networks and devices are spread smart phones. Smart home was increasing the interest. But until now, the study of user-centric services that the service was not implemented. Therefore, in this paper, the situation of the user, the user-centric service model that provides a smart home provisioning system OWL modeling is proposed.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.1
• /
• pp.265-273
• /
• 2012

It is essential to have Context-aware technology for personalization recommendation services and the appropriate representation and definition of Context information for context-aware. Ontology is possible to represent knowledge freely and knowledge can be extended by inferring. In addition, design of the ontology model is needed according to the purposes of utilization. This paper used context-aware technologies to implement a user personalization recommendation service. It also proposed the context through OWL modeling for user personalization recommendation service and used inference rules and inference engine for context reasoning.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.10a
• /
• pp.97-99
• /
• 2004

현재의 웹 환경에서의 정보는 점점 대량화되고 있으며, 정보에 대한 의미처리가 지원되지 않는 까닭에 많은 양의 정보가 무분별하게 검색되고 필요한 정보를 찾는데 많은 노력이 필요하다. 이를 해결하고자 XML의 의미태그를 중심으로 한 메타데이터 정보 모델링 등이 출현하였고, 이를 개념 수준의 의미처리로 추상화한 온톨로지(ontology) 기술이 개발되게 되었다. 온톨로지는 컴퓨터가 처리할 수 있는 명시적인 개념 표현을 상호 공유할 수 있도록 하여 줌으로써, 컴퓨터가 의미를 이해하고 추론할 수 있는 기반을 제공한다. 최근에는 여러 온톨로지 언어는 기술 논리(Description Logic)의 의미 모델에 기반을 두고 있는 OWL언어로 표준화되고 있다. 그러나, 온톨로지 언어를 사용한 직접적인 온톨로지 구축은 거의 불가능하다. 본 논문에서는 지식 표현의 기초가 되고 OWL의 이론적 기반이 되고 있는 프레임 구조로 개념 모델링 하는 방법을 통해 OWL기반의 온톨로지 구축을 보다 편리하고 효과적으로 수행할 수 있는 방법을 제공하며, 효율적인 OWL 문서의 생성과 편집 방안을 도출한다.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.5
• /
• pp.385-389
• /
• 2009

As a new community forming environment, the blog platform enables sharing of the resources in blogosphere through active information exchange. Many researches have been performed to recommend appropriate resources to users from vast amounts of blog resources. As one of the solutions OSEM defines the knowledge base in the blogosphere with ontology for effectively modeling it. In this paper, we propose a technique of converting the knowledge base into the OWL ontology for sharing it on the semantic web environment. An inference method is then applied to the OWL ontology for recommending interest blog communities. For this aim, a mapping method is offered and then SWRL inference and SPARQL query based on the ontology are employed to extract interest blog communities.

• Industrial Engineering and Management Systems
• /
• v.9 no.1
• /
• pp.1-9
• /
• 2010

Increasing product variety based on product family and product platform provides a company with a competitive advantage over its competitors. As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative and coordinating efforts for information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. Formal Concept Analysis (FCA) is used for analyzing data and forming semantic structures that are formal abstractions of concepts of human thoughts. A Web Ontology Language (OWL) is designed for applications that need to process the content of information instead of simply presenting information to humans. OWL also captures the evolution of different components of the product family. The purpose of this paper is to develop product variety modeling to increase the usefulness of common platform. In constructing and analyzing product ontology, FCA is adopted for conceptual knowledge processing. For the selected product family, product variety Ontology is constructed and implemented using prot$\'{e}$g$\'{e}$-2000.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2003.05a
• /
• pp.1136-1141
• /
• 2003

Due to the lack of digitally usable standards, it has been known to be difficult to handle the biological data. For example, the name of genes and proteins changes over time or has several synonyms indicating different entities. To cope with these problems, several communities, including the Gene Ontology Consortium and PubGene are making their efforts to move science toward the semantic web vision. Although some progress has been made, its expressivity is not sufficient for full-fledged ontological modeling and reasoning. This paper suggests a methodology for representing and extracting biological knowledge by using Web Ontology Language (OWL) as an extension of Resource Description Framework Schema (RDFS). Some benefits of our approach are: (1) to ensure extended sharing of biological meta data on the Web, and (2) to enrich additional expressivity and the semantics of RDFS+OWL.

• The KIPS Transactions:PartB
• /
• v.13B no.2 s.105
• /
• pp.139-148
• /
• 2006

In the collaborative product design environment, the communication between designers is important to capture design intents and to share a common view among the different but semantically similar terms. The Semantic Web supports integrated and uniform access to information sources and services as well as intelligent applications by the explicit representation of the semantics buried in ontology. Ontologies provide a source of shared and precisely defined terms that can be used to describe web resources and improve their accessibility to automated processes. Therefore, employing ontologies on assembly modeling makes assembly knowledge accurate and machine interpretable. In this paper, we propose a framework of semantic assembly modeling using ontologies to share design information. An assembly modeling ontology plays as a formal, explicit specification of a shared conceptualization of assembly design modeling. In this paper, implicit assembly constraints are explicitly represented using OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language). The assembly ontology also captures design rationale including joint intent and spatial relationships.

• Journal of the Korean Society for information Management
• /
• v.21 no.2
• /
• pp.249-267
• /
• 2004

Although MARC can define the detail cataloguing data, it has complex structures and frameworks to represent bibliographic information. On account of these idiosyncratic features of MARC, XML DTD or RDF/S that supports simple hierarchy of conceptual vocabularies cannot capture MARC formalism effectively. This study implements bibliographic ontology by means of abstracting conceptual relationships between bibliographic vocabularies of MARC. The bibliographic ontology is formalized with OWL that can represent the logical relations between conceptual elements and specify cardinality and property value restrictions. The bibliographic ontology in this study will provide metadata for cataloguing data and resolve compatibility problems between cataloguing systems. And it can also contribute the development of next generation bibliographic information system using semantic Web services.

• The Journal of the Korea Contents Association
• /
• v.19 no.2
• /
• pp.147-158
• /
• 2019

The Korean food, which has been attracting attention only as a unique culture of Korea, has become popular in the world market by being used as a material of Korean Wave and me-media. The systematic organization of knowledge for recipes and related information can highlight the value of Korean food. It will serve as a basis for improving the reusability of Korean food contents through expanded and limited search and effective browsing. This study purports to design an ontology for establishing Korean food knowledge structure. Ontology modeling is based on OWL. Vocabularies of Korean food were examined based on 32 volumes of Korean food information, and data elements were extracted by analyzing five domains and applications. As a result, the study derived classes and properties, and proposed an indexing example.