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The current study aims to detect sociocultural differences implied in the classification systems, employing text analytic techniques. By comparing Korean Decimal Classification (KDC) and Dewey Decimal Classification (DDC), this study... more
The current study aims to detect sociocultural differences implied in the classification systems, employing text analytic techniques. By comparing Korean Decimal Classification (KDC) and Dewey Decimal Classification (DDC), this study probes the gaps in exhaustivity and specificity in the two classification systems developed in distant social and cultural contexts. A computer-aided quantitative approach in cross-cultural comparison of Knowledge Organization Systems (KOSs) is a relatively new attempt. Besides the finding of the study will demonstrate how to utilize classification as a large textual data set and an automated classification reading
PurposeThe purpose of this paper is to discuss deployment of cultural warrant in intercultural environment, aiming to better achieve ethical warrant.Design/methodology/approachThis paper synthesizes research on cultural warrant and... more
PurposeThe purpose of this paper is to discuss deployment of cultural warrant in intercultural environment, aiming to better achieve ethical warrant.Design/methodology/approachThis paper synthesizes research on cultural warrant and classification, and uses examples of the Dewey Decimal Classification (DDC) to illustrate cultural warrant in a case of cross-cultural adaptation of bibliographic classification.FindingsThe notion of intercultural warrant was suggested as an operational approach to cultural warrant in the context of intercultural use of Knowledge Organization System (KOS).Research limitations/implicationsThe research focuses on discussions of cultural warrant in the context of intercultural uses of KOS but lacking diverse examples of KOS and beyond (such as descriptive metadata standards).Originality/valueThis paper suggests the development of intercultural warrant as a theoretical view to understand classification systems commonly used worldwide and a path to achieve eth...
In this study, we suggest a useful method to classify web resources based on social tag information generated by users. We attempted to examine whether social tags could be a tool of classifying websites in a certain domain. We applied... more
In this study, we suggest a useful method to classify web resources based on social tag information generated by users. We attempted to examine whether social tags could be a tool of classifying websites in a certain domain. We applied two statistical methods, including principal component analysis (PCA) and hierarchical clustering for classifying websites in the domain of consumer health information. First, PCA method was applied to identify different dimensions of the selected websites. Six dimensions were extracted from PCA: women, seniors, kids/parenting, drugs, men, and research. Second, we conducted a hierarchical clustering analysis to group similar websites in different hierarchical levels. These two methods reveal that social tags well represent the characteristics of individual websites in the domain of health information. This study yields a methodological implication that social tags can be used to automatically classify resources on the Web.
In this study, the use of user studies in information organization and a desired future direction can be visualized by investigating how user studies have been shaped in ISKO (International Society of Knowledge Organization) proceedings... more
In this study, the use of user studies in information organization and a desired future direction can be visualized by investigating how user studies have been shaped in ISKO (International Society of Knowledge Organization) proceedings from 1990 to 2012. Also, the author suggested a holistic view of user in information system.
The purpose of the paper is to examine how scholars in knowledge organization (KO) studied users of knowledge organization systems by analyzing the keywords used in the literature. In the study, two data sources in English over a ten-year... more
The purpose of the paper is to examine how scholars in knowledge organization (KO) studied users of knowledge organization systems by analyzing the keywords used in the literature. In the study, two data sources in English over a ten-year period, from 2005 to 2014, were used: three KO-focused journals and KO dissertations from Canada and the United States. Through a quantitative text analysis, the study identified keywords from the titles and abstracts of the selected works. The authors then performed a qualitative content analysis on the derived keywords to formulate a framework of user studies. As intended, the emerging framework will contribute to an improved understanding of users and help identify gaps in KO user studies
We surveyed a subset of participants in the LC Flickr Project to determine their motivations for contributing to LC's Flickr photosets. We discovered that many participants were motivated by a desire to share their knowledge of local... more
We surveyed a subset of participants in the LC Flickr Project to determine their motivations for contributing to LC's Flickr photosets. We discovered that many participants were motivated by a desire to share their knowledge of local history based on their affective reactions to the images and information provided. Résumé: Nous avons sondé un échantillon de participants du projet LC sur Flickr pour déterminer leurs motivations lorsqu'ils contribuent aux ensembles de photo de la collection. Nous avons découvert que de nombreux participants étaient motivés par le désir de partager leurs connaissances de l'histoire locale selon leurs réactions affectives par rapport aux images et à l’information fournie.
This study reports the preliminary results of a cross-cultural comparison of Medical Science in the Korean Decimal Classification (KDC) and in the Dewy Decimal Classification (DDC). Despite having similar purposes, to serve the public and... more
This study reports the preliminary results of a cross-cultural comparison of Medical Science in the Korean Decimal Classification (KDC) and in the Dewy Decimal Classification (DDC). Despite having similar purposes, to serve the public and emphasize the significance of standardization in medical science, a comparison of the two classification systems shows the influences of social and cultural inferences of classification systems in medicine.
In this study, we suggest a useful method to classify web resources based on social tag information generated by users. We attempted to examine whether social tags could be a tool of classifying websites in a certain domain. We applied... more
In this study, we suggest a useful method to classify web resources based on social tag information generated by users. We attempted to examine whether social tags could be a tool of classifying websites in a certain domain. We applied two statistical methods, including principal component analysis (PCA) and hierarchical clustering for classifying websites in the domain of consumer health information. First, PCA method was applied to identify different dimensions of the selected websites. Six dimensions were extracted from PCA: women, seniors, kids/parenting, drugs, men, and research. Second, we conducted a hierarchical clustering analysis to group similar websites in different hierarchical levels. These two methods reveal that social tags well represent the characteristics of individual websites in the domain of health information. This study yields a methodological implication that social tags can be used to automatically classify resources on the Web.
The purpose of this study is to understand users' motivations and intentions in the use of institutional collections on social tagging sites. Previous social tagging studies have collected social tagging data and analyzed how tagging... more
The purpose of this study is to understand users' motivations and intentions in the use of institutional collections on social tagging sites. Previous social tagging studies have collected social tagging data and analyzed how tagging functions as a tool to organize and retrieve information. Many studies focused on the patterns of tagging rather than the users' perspectives. To provide a more comprehensive picture of users' social tagging activities in institutional collections, and how this compares to social tagging in a more personal context, we collected data from social tagging users by surveying 7,563 participants in the Library of Congress's Flickr Collection. We asked users to describe their motivations for activities within the LC Flickr Collection in their own words using open-ended questions. As a result, we identified 11 motivations using a bottom-up, open-coding approach: affective reactions, opinion on photo, interest in subject, contribution to description, knowledge sharing, improving findability, social network, appreciation, personal use, and personal relationship. Our study revealed that affective or emotional reactions play a critical role in the use of social tagging of institutional collections by comparing our findings to existing frameworks for tagging motivations. We also examined the relationships between participants' occupations and our 11 motivations.
Research Interests:
The changes in KO systems induced by sociocultural influences may include those in both classificatory principles and cultural features. The proposed study will examine the Korean Decimal Classification (KDC)'s adaptation of the Dewey... more
The changes in KO systems induced by sociocultural influences may include those in both classificatory principles and cultural features. The proposed study will examine the Korean Decimal Classification (KDC)'s adaptation of the Dewey Decimal Classification (DDC) by comparing the two systems. This case manifests the sociocultural influences on KOSs in a cross-cultural context. Therefore, the study aims at an in-depth investigation of sociocultural influences by situating a KOS in a cross-cultural environment and examining the dynamics between two classification systems designed to organize information resources in two distinct sociocultural contexts. As a preceding stage of the comparison, the analysis was conducted on the changes that result from the meeting of different sociocultural feature in a descriptive method. The analysis aims to identify variations between the two schemes in comparison of the knowledge structures of the two classifications, in terms of the quantity of class numbers that represent concepts and their relationships in each of the individual main classes. The most effective analytic strategy to show the patterns of the comparison was visualizations of similarities and differences between the two systems. Increasing or decreasing tendencies in the class through various editions were analyzed. Comparing the compositions of the main classes and distributions of concepts in the KDC and DDC discloses the differences in their knowledge structures empirically. This phase of quantitative analysis and visualizing techniques generates empirical evidence leading to interpretation.
Research Interests:
The purpose of the paper is to examine how scholars in knowledge organization (KO) studied users of knowledge organization systems by analyzing the keywords used in the literature. In the study, two data sources in English over a ten-year... more
The purpose of the paper is to examine how scholars in knowledge organization (KO) studied users of knowledge organization systems by analyzing the keywords used in the literature. In the study, two data sources in English over a ten-year period, from 2005 to 2014, were used: three KO-focused journals and KO dissertations from Canada and the United States. Through a quantitative text analysis, the study identified keywords from the titles and abstracts of the selected works. The authors then performed a qualitative content analysis on the derived keywords to formulate a framework of user studies. As intended, the emerging framework will contribute to an improved understanding of users and help identify gaps in KO user studies
Research Interests:
In this study, we suggest a useful method to classify web resources based on social tag information generated by users. We attempted to examine whether social tags could be a tool of classifying websites in a certain domain. We applied... more
In this study, we suggest a useful method to classify web resources based on social tag information
generated by users. We attempted to examine whether social tags could be a tool of classifying
websites in a certain domain. We applied two statistical methods, including principal component
analysis (PCA) and hierarchical clustering for classifying websites in the domain of consumer health
information. First, PCA method was applied to identify different dimensions of the selected websites.
Six dimensions were extracted from PCA: women, seniors, kids/parenting, drugs, men, and research.
Second, we conducted a hierarchical clustering analysis to group similar websites in different
hierarchical levels. These two methods reveal that social tags well represent the characteristics of
individual websites in the domain of health information. This study yields a methodological
implication that social tags can be used to automatically classify resources on the Web.
Research Interests:
In this study, the use of user studies in information organization and a desired future direction can be visualized by investigating how user studies have been shaped in ISKO (International Society of Knowledge Organization) proceedings... more
In this study, the use of user studies in information organization and a desired future direction can be
visualized by investigating how user studies have been shaped in ISKO (International Society of
Knowledge Organization) proceedings from 1990 to 2012. Also, the author suggested a holistic view of
user in information system.
Research Interests: