Promoting Open Access: The Development, Collaborations, and Evaluation of the Kyoto University Rare Material Digital Archive (chapter 3)

This article introduces the development of the Kyoto University Rare Materials Digital Archive and collaborations with external institutions that exploit the International Image Interoperability Framework. The Kyoto University Rare Materials Digital Archive is one of output of the Kyoto University Open Access Promotion Project in which we aim to enhance our research support capability by making any scholarly information available online. In addition, we describe two collaborations: Digital Fujikawa, which is a collaboration with libraries, and the reciprocal links with the SAT Daizōkyō Database, which is a collaboration with a community of researchers. Furthermore, we discuss the challenges we faced when evaluating our archive. Following this, we argue for the importance of the evaluation of open-access digital archives from the perspective of research support

Citation Advantages of Green Open Access Articles: A Case Study at Kyoto University

Open Science Fair 2021 (OSFair2021), 20-23 September 2021 (Session Lightning talks | A)In 2015, Kyoto University, Japan, adopted the Kyoto University Open Access Policy, which mandates faculty members to make their scholarly articles public on the institutional repository, Kyoto University Research Information Repository (KURENAI). In 2020, five years after the implementation of the open access policy, we investigated the effects of the same. This paper presents a bibliometric analysis to reveal the effects of open access, comparing scholarly articles deposited to the KURENAI with their counterparts (i.e., scholarly articles not deposited to the KURENAI) to examine whether a citation advantage exists. The analysis revealed that the KURENAI has contributed to increasing the number of citations of scholarly articles not co-authored with foreign researchers and scholarly articles in different fields. Thus, we argue that institutional repositories foster interdisciplinary research. We also observed that scholarly articles that are open access only on the KURENAI have been downloaded more frequently than those that are also open access on other platforms (e.g., open access journals and other repositories). Owing to a large number of submissions, it may take some time until a deposited article becomes available for access on the KURENAI. Accordingly, it would be helpful for researchers and libraries to introduce a system that, when processing deposited scholarly articles, prioritizes the publication of articles that are not openly accessible on other platforms

Development, Collaborations, and Evaluation of the Kyoto University Rare Materials Digital Archive

KUDH International Conference 2021: “Digital Transformation in the Humanities”; October 16, 2021 (Sat.) 15:50-22:00 JST; Session 3 Digital Archiving and Curations: Kyoto, Leipzig, London, and Stellenbosch; Venue:: Held online via Zoo

Measurement and Visualization of IIIF Image Usages.

21st International Conference on Asia-Pacific Digital Libraries, ICADL 2019, Kuala Lumpur, Malaysia, November 4–7, 2019. Part of the Lecture Notes in Computer Science book series (LNCS, volume 11853), also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11853).In these years, a lot of libraries and museums have adopted IIIF (International Image Interoperability Framework), which promotes mutual use of images among institutions. In IIIF-compatible digital collections, images are retrieved via IIIF Image API with specifying regions of images. Thus, we can investigate the detailed image usage by examining requested regions. In this paper, we demonstrate an application that measures and visualizes which regions of images are looked by users. Specifically, we count the number of accesses to each pixel of images. Since a pixel is the smallest unit that composes an image, it enables to show the detailed image usage. Finally, we visualize the result as heat maps and display heat maps over original images on Mirador, a IIIF-compatible image viewer. Thus, users can interactively investigate which regions of images are looked by users with panning and zooming

Information-theoretic analysis of entity dynamics on the linked open data cloud

The Linked Open Data (LOD) cloud is expanding continuously. Entities appear, change, and disappear over time. However, relatively little is known about the dynamics of the entities, i. e., the characteristics of their temporal evolution. In this paper, we employ clustering techniques over the dynamics of entities to determine common temporal patterns. We define an entity as RDF resource together with its attached RDF types and properties. The quality of the clusterings is evaluated using entity features such as the entities’ properties, RDF types, and pay-level domain. In addition, we investigate to what extend entities that share a feature value change together over time. As dataset, we use weekly LOD snapshots over a period of more than three years provided by the Dynamic Linked Data Observatory. Insights into the dynamics of entities on the LOD cloud has strong practical implications to any application requiring fresh caches of LOD. The range of applications is from determining crawling strategies for LOD, caching SPARQL queries, to programming against LOD, and recommending vocabularies for reusing LOD vocabularies

Extensive Reading Using an E-Book System and Online Forum

This paper presents an extensive reading project conducted on an e-book system.We use picture books and comic books as reading materials, and provide an online forum where students can share and discuss their impressions of these. As initial results of the project, we show students’ reading patterns, the influence of the online forum on reading amounts, and the influence of reading amounts on performance. The results indicate that the forum may stimulate students and encourage them to continue doing extensive reading.We also observed moderate correlations between the reading amounts and exam scores

Profiling Users and Knowledge Graphs on the Web

Profiling refers to the process of collecting useful information or patterns about something. Due to the growth of the web, profiling methods play an important role in different applications such as recommender systems. In this thesis, we first demonstrate how knowledge graphs (KGs) enhance profiling methods. KGs are databases for entities and their relations. Since KGs have been developed with the objective of information discovery, we assume that they can assist profiling methods. To this end, we develop a novel profiling method using KGs called Hierarchical Concept Frequency-Inverse Document Frequency (HCF-IDF), which combines the strength of traditional term weighting method and semantics in a KG. HCF-IDF represents documents as a set of entities and their weights. We apply HCF-IDF to two applications that recommends researchers and scientific publications. Both applications show HCF-IDF captures topics of documents. As key result, the method can make competitive recommendations based on only the titles of scientific publications, because it reveals relevant entities using the structure of KGs. While the KGs assist profiling methods, we present how profiling methods can improve the KGs. We show two methods that enhance the integrity of KGs. The first method is a crawling strategy that keeps local copies of KGs up-to-date. We profile the dynamics of KGs using a linear regression model. The experiment shows that our novel crawling strategy based on the linear regression model performs better than the state of the art. The second method is a change verification method for KGs. The method classifies each incoming change into a correct or incorrect one to mitigate administrators who check the validity of a change. We profile how topological features influence on the dynamics of a KG. The experiment demonstrates that the novel method using the topological features can improve change verification. Therefore, profiling the dynamics contribute to the integrity of KGs

ScholarSight: Visualizing Temporal Trends of Scientific Concepts

2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL): June 2 2019 to June 6 2019 Champaign, IL, USA.In this paper, we present a system for exploring the temporal trends of scientific concepts. Scientific concepts were captured by extracting noun phrases and entities from all computer science papers of arXiv.org. Our system allows users to review the time series of numerous concepts and to identify positively and negatively trending concepts. By applying clustering techniques and cluster analysis visualizations, it can also present concepts which share the same usage patterns over time. Our system can be beneficial for both ordinary researchers of any field and for researchers working in bibliometrics and scientometrics in order to investigate the evolution of scientific concepts

Towards Serendipitous Research Paper Recommender Using Tweets and Diversification

23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, September 9-12, 2019. Part of the Lecture Notes in Computer Science book series (LNCS, volume 11799), also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11799).In this paper, we examine whether a user’s tweets can help to a generate more serendipitous recommendations. In addition, we investigate whether the use of diversification applied on a list of recommended items further improves serendipity. To this end, we conduct an experiment with n = 22 subjects. The result of our experiment shows that the subject’s tweets did not improve serendipity, but diversification results in more serendipitous recommendations