• Language and Information
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• 제16권1호
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• pp.25-43
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• 2012

This study introduces set-denoting time expressions in Korean, which can be divided into simple and complex types. It was found that while the simple type expressions are easily represented within ISO-TimeML, a time-expression markup language, some complex type set-denoting expressions are not. Therefore, this study analyzes the reason for these difficulties in representing complex type expressions, as well as suggests the introduction of @measure and @interpretation attributes in the TIMEX3 tag. The @measure attribute represents the time interval, and the @interpretation attribute is used to distinguish distributive readings from cumulative readings. Additionally this paper suggests that a mapping between these and other attributes are required in TLINK.

• Journal of Korean Library and Information Science Society
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• 제36권3호
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• pp.275-289
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• 2005

In this paper, the conceptual model for bibliographic Information consistent and compatible with MARC is presented. The modeling requirements are derived from MARC-related models such as MARC21, MARCXML and MODES. To meet these requirements, this paper proposes the conceptual model based on MARC formalism. The model composed with aggregation relationships among bibliographic data elements can use semantic tags of XML. As the model can be realized into diverse structures, it will be effectively applied for the development of bibliographic information management systems. Since MARC defines only record format and has the limitations in semantic representation, the metadata system that can expand bibliographic data elements in MRAC into metadata level is strongly required.

• Journal of the Society of Naval Architects of Korea
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• 제48권3호
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• pp.207-214
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• 2011

Ship design requirements described in the building specification should be reflected in the design process. This paper identifies the configuration of requirements mentioned in the building specification using Ontology Representation Language (OWL). Ontology-based semantic search system specifies the requirement items. Through this extraction, building specifications mentioned for each entry are configured to the tree. Tracking requirements for ship design and a set of procedures to instruct is also used for the V model of systems engineering. The semantic search engine of robot agent and ontology can search the requirements specification document and extract the design information. Thereafter, design requirements for the tracking model that proposes the relationship between the associated BOM(bill of material) and product structure.

• International journal of advanced smart convergence
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• 제7권3호
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• pp.130-139
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• 2018

This study is to analyze the relationship between character and human semantic production through research on character visualization artworks and to develop a creative platform that visually expresses the formative and semantic dynamics of characters using the results will be. The 3D spatial interaction system using the character visualization proposed generates the transformation of the character in real time using the interaction with user and the deconstruction of the character structure. Transformations of characters including the intentions of the viewers provide a dynamic visual representation to the viewer and maximize the efficiency of meaning transfer by producing various related meanings. The method of dynamic deconstruction and reconstruction of the characters provided by this system creates special shapes that viewers cannot imagine until now and further extends the interpretation range of the meaning of the characters. Therefore, the proposed system not only induces an active viewing attitude from viewers, but also gives them an opportunity to enjoy watching the artwork and demonstrate creativity as a creator. This system induces new gestures of the viewer in real time through the transformation of characters in accordance with the viewer''s gesture, and has the feature of exchanging emotions with viewers.

• Perspectives in Nursing Science
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• 제8권2호
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• pp.113-120
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• 2011

Purpose: The aim of this study was to develop and validate Detailed Clinical Models (DCMs) for pain assessment in nursing. Methods: First, we identified the entities of pain assessment from ICNP. We identified the attributes and values of the attributes to describe the entities in more detail by reviewing the literature. Data types and optionalities of the attributes were defined. Second, we modeled the DCMs by linking an entity and its corresponding attributes with values and by specifying the data types and optionalities of the attributes. Finally, the DCMs were validated by a group of domain experts using a content validity index. Results: In total, 19 DCMs with 11 attributes for pain assessment were developed. The experts' evaluations showed that the DCMs were valid enough to represent pain related information of nursing assessment. Conclusion: The DCMs developed in this study can be used in electronic nursing records. The DCMs for pain can ensure the semantic interoperability of pain related information in electronic nursing records.

• Journal of Korean Clinical Nursing Research
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• 제17권1호
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• pp.101-112
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• 2011

Purpose: The purpose of this study is to develop a detailed clinical model for recording initial nursing assessment items, and to test the applicability of the model to facilitate semantic interoperability for sharing and exchanging nursing information. Methods: First, the researchers extracted items by analyzing initial nursing assessment records. Second, defining characteristics were identified by analyzing nursing records and reviewing the literature. Third, value sets for defining characteristics were identified and types and cardinalities of defining characteristics were defined based on the value sets. Finally, the detailed clinical model was tested through evaluation by experts and comparison with the initial nursing assessment in a clinical setting. Results: Sixty-one detailed clinical models were developed with 178 defining characteristics and value sets. The experts evaluation and comparison with the initial nursing assessment in a clinical setting showed that the detailed clinical model developed in this study was valid. Conclusion: Use of this detailed clinical model can ensure that the Electronic Health Record contains meaningful and valid information and supports semantic interoperability of nursing information. This use will promote quality in the nursing records and eventually quality of nursing care.

• The Research Journal of the Costume Culture
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• 제29권4호
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• pp.603-615
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• 2021

The aim of this study was to analyze the semantic network structure of keywords and the visual composition of images extracted from Instagram in relation to the multi-persona phenomenon with in fashion imagery, which has recently been attracting attention. To this end, the concept of a 'secondary character', which forms a separate identity from a 'main character' on various social media platforms as well as on the airwaves, was considered as the spread of multi-persona and #SecondaryCharacter on Instagram was investigated. 3,801 keywords were collected after crawling the data using Python and morphological analysis was undertaken using KoNLP. The semantic network structure was then examined by conducting a CONCOR analysis using UCINET and Netdraw to determine the top 50 keywords. The results were then classified into a total of 6 clusters. In accordance with the meaning and context of the keywords included in each cluster, group names were assigned : virtual characters, relationship with the main character, hobbies, daily record, N-job person, media and marketing. Image analysis considered the technical, compositional, and social styles of the media based on Gillian Rose's visual analysis method. The results determined that Instagram uses fashion images that virtualize one's face to produce multi-persona representation s that show various occupations, describe different types of hobbies, and depict situations pertaining to various social roles.

• Journal of Information Science Theory and Practice
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• 제8권4호
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• pp.67-86
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• 2020

Information need has been one of the main motivations for a person using a search engine. Queries can represent very different information needs. Ironically, a query can be a poor representation of the information need because the user can find it difficult to express the information need. Query Expansion (QE) is being popularly used to address this limitation. While QE can be considered as a language-independent technique, recent findings have shown that in certain cases, language plays an important role. Arabic is a language with a particularly large vocabulary rich in words with synonymous shades of meaning and has high morphological complexity. This paper, therefore, provides a review on QE for Arabic information retrieval, the intention being to identify the recent state-of-the-art of this burgeoning area. In this review, we primarily discuss statistical QE approaches that include document analysis, search, browse log analyses, and web knowledge analyses, in addition to the semantic QE approaches, which use semantic knowledge structures to extract meaningful word relationships. Finally, our conclusion is that QE regarding the Arabic language is subjected to additional investigation and research due to the intricate nature of this language.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2009년도 추계학술발표대회
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• pp.801-802
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• 2009

Currently, XML and its schema language have become the standard for data representation and information exchange format on the current web. Unfortunately, problems happen when integrating different data sources since XML mainly supports the document structure but lack consideration on sharing knowledge of data. Meanwhile, Semantic Web technologies, such as Web Ontology Language (OWL), can include the structure as well as the semantics of the data. Therefore, finding a way to integrate XML data as OWL ontology receives a high interest nowadays. In this paper we present a mapping notation to convert XML Schema to OWL domain knowledge and an effective method to transform XML instances into OWL individuals. While keeping the XML original structure, our work also adds more semantics for the XML document. Moreover, whole of the transformation processes are done automatically without any user interference. Further, our transforming approach provides the solution for duplicate element names in XML document which has not mentioned in the previous work. Our results in existing OWL syntaxes can be loaded immediately by OWL editors and Semantic Web applications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.38-40
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• 2021

Medical domain has a massive number of data records without the response value. Self-supervised learning is a suitable method for medical data since it learns pretext-task and supervision, which the model can understand the semantic representation of data without response values. However, since self-supervised learning performance depends on the expression learned by the pretext-task, it is necessary to define an appropriate Pretext-task with data feature consideration. In this paper, to actively exploit the unlabeled medical data into artificial intelligence research, experimentally find pretext-tasks that suitable for the medical data and analyze the result. We use the x-ray image dataset which is effectively utilizable for the medical domain.