• Journal of the Korea Society of Computer and Information
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• v.17 no.8
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• pp.21-29
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• 2012

We have proposed an ontology-based translation mashup system for foreigner to enjoy Korean cultural information without any language barrier(linguistic problem). In order to utilize public information, we use a mobile public information open API of Seoul metropolitan city. Google AJAX language API is used for translations of public information. We apply an ontology to minimize errors caused by the translations. For ontology modeling, we analyze the public information domain and define classes, relations and properties of cultural vocabulary ontology. We generate ontology instances for titles, places and sponsors which are the most frequently occurring translation errors. We compare the accuracy of translations through our experiment. Through the experimental results using the proposed ontology-based translation mashup system, we verify the validity of the system.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.159-162
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• 2007

Semantic Structuralization of data, not Semantic Web base on Ontology but software engineering on many points, can be applied to trace of state or requirements usefully. But it is required much effort that a man converts RDB(Relational DataBase) into Ontology. Hence this study propose rules to convert RDB into Ontology description language OWL automatically.

• Proceedings of the Korean Information Science Society Conference
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• 2010.11a
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• pp.72-73
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• 2010

• Journal of Information Processing Systems
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• v.7 no.2
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• pp.287-298
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• 2011

Efficient service description and modeling methodologies are essential for dynamic service composition to provide autonomous services for users in ubiquitous computing environments. In our previous research, we proposed a 'u-service' ontology which is an abstract and structured concept for device operations in ubiquitous environments. One of the problems that we faced during the design process was that there are not enough standards to analyze the effectiveness of a u-service ontology. In this paper, we propose a quality evaluation model to facilitate the design process of a uservice ontology. We extract modeling goals and evaluation indicators based on the uservice description specification. We also present quality metrics to quantify each of the design properties. The experiment result of the proposed quality model shows that we can use it to analyze the design of u-service ontology from various angles. Also, it shows that the model can provide a guideline, and offer appropriate recommendations for improvements.

• Korean Journal of Computational Design and Engineering
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• v.11 no.4
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• pp.273-288
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• 2006

Information integration of heterogeneous digital parts libraries or electronic pars catalogs is one of issues in B2B procurements. We need to provide an integrated view for multiple information sources. Utilization of ontologies as the metadata descriptions of the information sources can provide an integrated view. However, in order to integrate independently developed ontologies, the mismatches among them should be resolved. In this paper, we propose an ontology of meta-concepts, i.e. meta-ontology. The meta-concepts play the role of vocabulary to describe the parts library ontologies and provide well-established ontological semantics that helps the ontology modelers to consistently identify parts library concepts and systematically structure them. Consequently, the meta-ontology reduces the differences in the way the parts knowledge is interpreted and ensures the mismatches are confined to manageable mis matches, so that a software program can merge automatically. Modeling ontologies of mold and die parts libraries for B2B e-commerce is taken as an example to show how to use the meta-ontology. We also discuss how a parts library mediation system can automatically merge the well-structured parts library ontologies.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.347-353
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• 2008

The realization of intelligence by using ontology is getting attention recently. However, it is necessary to design ontology models suitable to their purpose in order to use efficiently the intelligence realized by ontology. In this paper, we define a cognition cycle for intelligent agents representing a process that the intelligent agents recognize an event and react to it. Moreover, we design an ontology-based intelligent agent, and propose an ontology model that is possible to change the agent's states, to express its emotions, and to expand its intelligence through ontological inference. Finally, we develop an intelligent agent named Helen, confirm the change of her inner states according to the environment and situation, and show the easiness of the extension of her intelligence.

• International Journal of CAD/CAM
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• v.5 no.1
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• pp.39-47
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• 2005

Different CAx systems are being utilized throughout the product lifecycle due to the practical reasons in the supply chain and design processes. One of the major problems facing enterprises of today is how to share and exchange data among heterogeneous applications. Since different software applications use different terminologies, it is difficult to share and exchange the product data with internal and external partners. This paper presents a method to enhance the CAD model interoperability based on feature ontology. The feature ontology has been constructed based on the feature definition of modeling commands of CAD systems. A method for integration of semantic data has been proposed, implemented, and tested with two commercial CAD systems.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.4
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• pp.301-306
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• 2007

The people information is distributed in various forms such as database, web page, text, and so on, where the world wide web is one of the main sources of publicly-available people information. It has a characteristic that the information on people is intrinsically temporal. Therefore, the reconstruction of the information is needed for an individual or a company to use it efficiently. In order to maintain or manage the temporal people information, it must distinguish the variable information from invariable information of people. In this paper, we propose a method that constructs an ontology based on events to manage the variable people information efficiently. In addition, we present a system which reconstructs people information that satisfies the users' demand with the ontology.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.2
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• pp.61-70
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• 2008

This paper describes case studies on workflow impact analyze with an enterprise ontology (EO). We build the EO with an ontology editor $Prot{\acute{e}}g{\acute{e}}$ and integrate concepts of enterprise architecture and a process model into it to expand the EO. We use the expanded EO and Prolog query rules to analysis workflow dependency relations from the perspectives of routing, data and role. Through this, we analyze impact of changes in workflow process. Moreover, we have found the effectiveness of the EO and $Prot{\acute{e}}g{\acute{e}}$ in modeling business management and, in particular, workflow representation and management.

• Journal of Intelligence and Information Systems
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• v.16 no.1
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• pp.1-16
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• 2010

Several techniques and methods for ontology modularization have been proposed recently. However, there are few ontology evaluation frameworks to evaluate these techniques and methods. Most researches on ontology modularization have not been focused on ontology modularization evaluation but ontology modularization process itself. In this paper, we devise a novel ontology modularization evaluation framework to measure the quality of ontology modules, logical integrity during modularization process and modularization tools. Experiments were conducted to validate the proposed framework. Three representative modularization approaches SWOOP, Prompt, and PATO were chosen and used to partition or extract modules from an ontology. Then the proposed evaluation framework is applied to these modules. The experiment results indicate that the modularization framework works well. The proposed framework would help ontology engineers improve ontology module quality, anticipate and reduce future maintenance as well as help ontology users to choose ontology modules that best meet their requirements.