• Journal of Information Management
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• v.39 no.4
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• pp.121-154
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• 2008

In this paper, a ontology-based keyword structuring method is proposed to represent the knowledge structure of scholarly documents and to make inferences from the semantic relationships holding among them. The characteristics of thesaurus as a knowledge organization system(KOS) for subject heading is critically reviewed from the information retrieval point of view. The domain concepts are identified and classified by analysis of the information activities occurring in a general research process based on scholarly sensemaking model. The ontological structure of keyword set is defined in terms of the semantic relationship of the canonical concepts which constitute scholarly documents such as journal articles. As a result, each ontologically structured keyword set of a document represents the knowledge structure of the corresponding document as semantic index. By means of the axioms and inference rules defined for information needs, users can efficiently explore the scholarly communication network built on the semantic relationship among documents in an analytic way based on the scholarly sensemaking model in oder to efficiently retrieve the relevant information for problem solving.

• Journal of the Korean Society for information Management
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• v.35 no.3
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• pp.101-121
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• 2018

This study proposes the analysis method in sentence semantics that can be automatically identified and processed as appropriate items in the system according to the composition of the sentences contained in the data corresponding to the logical semantic structure metadata of the research papers. In order to achieve the purpose, the structure of sentences corresponding to 'Research Objectives' and 'Research Outcomes' among the semantic structure metadata was analyzed based on the number of words, the link word types, the role of many-appeared words in sentences, and the end types of a word. As a result of this study, the number of words in the sentences was 38 in 'Research Objectives' and 212 in 'Research Outcomes'. The link word types in 'Research Objectives' were occurred in the order such as Causality, Sequence, Equivalence, In-other-word/Summary relation, and the link word types in 'Research Outcomes' were appeared in the order such as Causality, Equivalence, Sequence, In-other-word/Summary relation. Analysis target words like '역할(Role)', '요인(Factor)' and '관계(Relation)' played a similar role in both purpose and result part, but the role of '연구(Study)' was little different. Finally, the verb endings in sentences were appeared many times such as '~고자', '~였다' in 'Research Objectives', and '~었다', '~있다', '~였다' in 'Research Outcomes'. This study is significant as a fundamental research that can be utilized to automatically identify and input the metadata element reflecting the common logical semantics of research papers in order to support researchers' scholarly sensemaking.

• Journal of Korean Library and Information Science Society
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• v.46 no.3
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• pp.277-299
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• 2015

The purpose of this study is to build a metadata set based on the semantic structure of the Korean studies research articles. For this purpose, we analyzed the related researches which suggested the semantic structure of the research articles, categorized the concepts of author keywords of the Korean studies research articles, and drew the metadata set of 16 elements from the results of the analysis and the categorization. The significance of this study is that it propose a semantic metadata configuration methodology which can reflect the scholarly sense-making of researchers in Korean studies. Especially, this study is significant because it reflects the keywords which was given by the actual researchers to examine the content characteristics of the Korean studies research articles.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.345-369
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• 2022

The purpose of this study is to build a metadata set based on the semantic structure of the humanities field research articles for research data that can associate research data and research articles. To understand the interest of Humanities researchers, keywords of research articles were categorized. By proceeding the keywords classification and analyzing based on the semantic structure of general research papers, additional elements to be added were identified for reflecting the characteristics of the humanities field. Based on it, 17 metadata elements based on the semantic structure of research papers in the humanities field was determined. In order to evaluate whether the metadata is appropriate as a metadata for research data in the humanities field, a survey was conducted on researchers in the humanities field. As a result of the survey, 7 elements were judged to be suitable for use as metadata for research data in the field of humanities, and 10 other elements were identified as usable elements. Drawing on the survey results, the metadata based on the semantic structure of the humanities field research articles for research data was constructed.