• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.1
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• pp.173-182
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• 2001

In this paper, we discuss how ontology Plays roles in building a distributed and heterogeneous knowledge-base system. First, we discuss relationship between ontology and agent in the Knowledgeable Community which is a framework of knowledge sharing and reuse based on a multi-agent architecture. Ontology is a minimum requirement for each agent to join the Knowledgeable Community. Second we explain mediation by ontology to show how ontology is used in the Knowledgeable Community. A special agent called mediation analyzes undirected messages and infer candidates of recipient agents by consulting ontology and relationship between ontology and agents. Third we model ontology as combination of aspects each of which can represent a way of conceptualization. Aspects are combined either as combination aspect which means integration of aspects or category aspect which means choice of aspects. Since ontology by aspect allows heterogeneous and multiple descriptions for phenomenon in the world, it is appropriate for heterogeneous knowledge-base systems. We also show translation of messages as a wave of interpreting multiple aspects. A translation agent can translate a message with some aspect to one with another aspect by analyzing dependency of aspects. Mediation and translation of messages are important to build agents easily and naturally because less knowledge on other agents is requested for each agent.

• Genomics & Informatics
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• v.18 no.2
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• pp.14.1-14.11
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• 2020

Phenotyping is a major issue for wheat agriculture to meet the challenges of adaptation of wheat varieties to climate change and chemical input reduction in crop. The need to improve the reuse of observations and experimental data has led to the creation of reference ontologies to standardize descriptions of phenotypes and to facilitate their comparison. The scientific literature is largely under-exploited, although extremely rich in phenotype descriptions associated with cultivars and genetic information. In this paper we propose the Wheat Trait Ontology (WTO) that is suitable for the extraction and management of scientific information from scientific papers, and its combination with data from genomic and experimental databases. We describe the principles of WTO construction and show examples of WTO use for the extraction and management of phenotype descriptions obtained from scientific documents.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10a
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• pp.42-43
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• 2007

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.6
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• pp.1111-1116
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• 2010

We in this paper design and implement a traditional korean medicine diagnosis system based on basic ontology. If doctors put the symptoms or tongues or pulses of a patient in the diagnosis system, they can be recommended for the diagnosis results. To support the doctors decision, the diagnosis system make the inference based on the basic ontology and compute the similarity between symptoms of patient and those of ontology. The diagnosis systems also provide the learning mechanism about diagnosis results which save the results in the ontology and reuse them in the next diagnosis. Thus, doctors can share their knowledge for the diagnosis by exchanging their ontology each other. In future, we will expand the knowledge of the basic ontology continuously so that doctors can get the more accurate diagnosis results. We also implement the prescription function and integrate it to the diagnosis system.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.1
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• pp.42-49
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• 2017

Studies for efficient information retrieval and reuse of information resources using the ontology techniques are being in progress in various fields. In this paper, we build an ontology to provide a food additive information for consumers given by the KFDA and food safety information portal. Food additives were represented in OWL based knowledge using $Prot{\acute{e}}g{\acute{e}}$. We defined Class, Property, Relationships for providing food additives names, origins, purposes and basic information. In order to retrieve the information of the food additive, we built 679 instances with an ontology, and confirmed the results through DL Query queries. We can expect that the food additives ontology shown in this paper will help the integration and improvement of the information retrieval systems of the related fields in future.

• The KIPS Transactions:PartB
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• v.12B no.1 s.97
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• pp.69-80
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• 2005

This paper introduces a methodology of transforming an existing ontology into the one that satisfies its application. The transformation consists of simplification and realization of word category information. They are based on category headings and base categories. Furthermore, this paper describes a method by which we can identify relationships between category sets. Through the transformation, (1) Roget's thesaurus is reorganized into 7 categories and the base of 'Ontology for Narrative'[32], (2) 22 immersion factors of multimedia games can be subdivided into 207 factors in [35], and (3) the relationships between 10 mental factors and 22 immersion factors of multimedia games are identified in [36].

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.326-327
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• 2016

A study on Ontology-based indoor positioning techniques using BLE Beacon. Recently BLE beacon has been widely used as a technique for measuring the indoor location. But it requires a filtering technique for the measurement of the correct position, and uses the most fixed beacon. It is not accurate that calculates the position information through the identification of the beacon signal. Therefore, filtering is important. So it takes a lot of time, position measurement and filtering. Thus, we is to measure the exact position at the indoor using a mobile beacon. The measured beacon signal is composed of an ontology for reuse in the same pattern. RSSI is measured the receiver is the distance of the beacon. And this value configure the location ontology to be normalized by the relationship analysis between the values. The ontology is a method for calculating the position information of the moving beacon. It may be detected fast and accurate indoor position information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.2 no.5
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• pp.239-252
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• 2008

To facilitate the processes of e-learning resource description, discovery and reuse, e-learning objects should be appropriately described and classified using standard metadata that need to be published in a registry to reduce duplication of effort and enhance semantic interoperability. This paper describes how standard ebXML registries can be used for semantic grid computing for annotating, storing, discovering and retrieving e-learning object metadata. For semantic annotation of e-learning objects, IEEE Learning Object Metadata (LOM) is adopted as the metadata ontology. In order to support the e-learning metadata ontology in interoperable ebXML registries, a mapping scheme between LOM and ebXML Registry Information Model (RIM) is proposed. The usefulness of sharing e-learning object metadata is demonstrated by prototyping a semantic registry based on the scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1123-1128
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• 2016

Recently BLE beacon has been widely used as a method for measuring the indoor location in the IoT Technique. But it requires a filtering technique for the measurement of the correct position. It is used the most fixed beacon. It is not accurate that calculates the position information through the identification of the beacon signal. Therefore, filtering is important. So it takes a lot of time, position measurement and filtering. Thus, we is to measure the exact position at the indoor using a mobile beacon. The measured beacon signal is composed of an ontology for reuse in the same pattern. RSSI is measured the receiver is the distance of the beacon. And this value configure the location ontology to be normalized by the relationship analysis between the values. The ontology is a method for calculating the position information of the moving beacon. It can detect fast and accurate indoor position information and provide the service.

• Journal of Digital Contents Society
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• v.13 no.4
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• pp.547-557
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• 2012

Youths express their own negative experiences and feelings come from their deeply wounded mind. They seek the root cause of these wounded hearts from other people or external environment. Youths revisited the past to heal painful memories. This study designed ontology in order to provide information about the causes and symptoms of illness of the mind for youth counseling. Application ontology enables high-volume and intricate knowledge not only to get set up systematically but also to be stored as the meaningful information. It is also very useful as an integrating tool of the existing complex counseling nomenclature. And ultimately, through revitalization of the sharing and reuse of materials, it becomes possible to provide client-centered counseling services. Therefore, this study built ontology of the mind-illness as a way to analyze the causes and symptoms of the disease in the client mind for providing personalized youth counseling services.