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The purpose of this paper is to provide adaptive access to learning resources in the digital library.

A novel method using ontology-based multi-attribute collaborative filtering is proposed. Digital libraries are those which are fully automated and all resources are in digital form and access to the information available is provided to a remote user as well as a conventional user electronically. To satisfy users' information needs, a humongous amount of newly created information is published electronically in digital libraries. While search applications are improving, it is still difficult for the majority of users to find relevant information. For better service, the framework should also be able to adapt queries to search domains and target learners.

This paper improves the accuracy and efficiency of predicting and recommending personalized learning resources in digital libraries. To facilitate a personalized digital learning environment, the authors propose a novel method using ontology-supported collaborative filtering (CF) recommendation system. The objective is to provide adaptive access to learning resources in the digital library. The proposed model is based on user-based CF which suggests learning resources for students based on their course registration, preferences for topics and digital libraries. Using ontological framework knowledge for semantic similarity and considering multiple attributes apart from learners' preferences for the learning resources improve the accuracy of the proposed model.

The results of this work majorly rely on the developed ontology. More experiments are to be conducted with other domain ontologies.

The proposed approach is integrated into Nucleus, a Learning Management System (https://nucleus.amcspsgtech.in). The results are of interest to learners, academicians, researchers and developers of digital libraries. This work also provides insights into the ontology for e-learning to improve personalized learning environments.

This paper computes learner similarity and learning resources similarity based on ontological knowledge, feedback and ratings on the learning resources. The predictions for the target learner are calculated and top N learning resources are generated by the recommendation engine using CF.

In this chapter, we develop an argument in support of comparative framing in teacher education research with the purpose of strengthening the education profession and particularly the professional field of teaching and teacher education. There is little agreement in the field on the required knowledge needed to become a highly effective teacher and on how to know that teachers know enough of a subject to teach it. We argue that comparative and collaborative cross-national studies serve as ideal catalytic forces to develop much-needed ontologies to develop definitions and realize contrasts, possibilities, and limitations. The construction of ontologies supports the epistemological bases of the profession. Comparative studies help to understand what others with similar goals such as the education and support of teachers have been able to achieve under what conditions, resources, and contexts.

In these uncertain and risky times, the work that educators and educational researchers carry out may feel inconsequential. In preparing young people to live well in a world worth living in, educators must consider, firstly, what roles they can play in a global environment riven by volatile economic, social, and environmental contexts, and secondly, the responsibilities they bear as researchers to produce forms of understanding, modes of action, and ways of relating to one another and this world.

In this chapter, we introduce the pedagogy, education, and praxis (PEP) network and how it is that we, as researchers from around the world, came together to discuss our researching practices in coming to know and explore educational research problems concerning equity, diversity and social justice within and across different cultural settings. We share short stories of ourselves to reveal how it is that we have come to know, be, and act as researchers in our projects and how working alongside each other – our mutual relatings – have generated further understanding about our own and each other’s researching practices.

This chapter establishes the purpose of the book, where we share empirical work through the lens of practice architectures. For instance, what is considered to be an educational equity problem across international or cross-cultural sites? What are considered acceptable forms of evidence of coming to understand educational inequity in its diverse forms in different sites? How are taken-for-granted research practices enabling and/or constraining different forms of understandings about educational inequity, including the issues to be researched and/or the direction of the research project? We then provide an overview of the remaining chapters.

Spurred by the COVID-19 pandemic, there has been an increase in the open acknowledgment of the importance of teaching and learning praxis that is grounded in compassion, understanding, cocreation, community, and flexibility. This is especially so for ‘traditional’ university spaces, in essence questioning and resisting the many established dynamics that face-to-face teaching and learning took for granted within many neoliberal and neocolonial higher education contexts. In this chapter, I propose positioning a love ethic as a primary point of departure for all educational engagements, a foundational shift in ontology (way of being) of the university. By focusing on love as liberation and justice, and teaching as an act of love, I draw on critical, engaged, and feminist pedagogies, as well as my experience as a lecturer in a social justice– and global citizenship-oriented program at the University of Cape Town (UCT), South Africa, where I positioned a love ethic as central to my pedagogical approach. I argue that when we begin to view love as more than mere emotion, but as an ideological position that informs values and praxis within higher education (and our university “classrooms” in particular), we may move toward new and exciting ways of envisioning the decolonized university of the 21st century. A love ethic, as defined by bell hooks, offers possibilities for an approach to critical transformation that is not merely motivated by the change of institutional structures, but by the reform of values guiding teaching and learning and ways of being within higher education institutions.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

The purpose of this study is to provide a systematic literature review on taxonomy alignment methods in information science to explore the common research pipeline and characteristics.

The authors implement a five-step systematic literature review process relating to taxonomy alignment. They take on a knowledge organization system (KOS) perspective, and specifically examining the level of KOS on “taxonomies.”

They synthesize the matching dimensions of 28 taxonomy alignment studies in terms of the taxonomy input, approach and output. In the input dimension, they develop three characteristics: tree shapes, variable names and symmetry; for approach: methodology, unit of matching, comparison type and relation type; for output: the number of merged solutions and whether original taxonomies are preserved in the solutions.

The main research implications of this study are threefold: (1) to enhance the understanding of the characteristics of a taxonomy alignment work; (2) to provide a novel categorization of taxonomy alignment approaches into natural language processing approach, logic-based approach and heuristic-based approach; (3) to provide a methodological guideline on the must-include characteristics for future taxonomy alignment research.

There is no existing comprehensive review on the alignment of “taxonomies”. Further, no other mapping survey research has discussed the comparison from a KOS perspective. Using a KOS lens is critical in understanding the broader picture of what other similar systems of organizations are, and enables us to define taxonomies more precisely.

The purpose of this study is to identify the research fronts by analysing highly cited core papers adjusted with the age of a paper in library and information science (LIS) where natural language processing (NLP) is being applied significantly.

By excavating international databases, 3,087 core papers that received at least 5% of the total citations have been identified. By calculating the average mean years of these core papers, and total citations received, a CPT (citation/publication/time) value was calculated in all 20 fronts to understand how a front is relatively receiving greater attention among peers within a course of time. One theme article has been finally identified from each of these 20 fronts.

Bidirectional encoder representations from transformers with CPT value 1.608 followed by sentiment analysis with CPT 1.292 received highest attention in NLP research. Columbia University New York, in terms of University, Journal of the American Medical Informatics Association, in terms of journals, USA followed by People Republic of China, in terms of country and Xu, H., University of Texas, in terms of author are the top in these fronts. It is identified that the NLP applications boost the performance of digital libraries and automated library systems in the digital environment.

Any research fronts that are identified in the findings of this paper may be used as a base for researchers who intended to perform extensive research on NLP.

To the best of the authors’ knowledge, the methodology adopted in this paper is the first of its kind where meta-analysis approach has been used for understanding the research fronts in sub field like NLP for a broad domain like LIS.

This chapter locates our book in social science debates and critiques challenging ontological and epistemological assumptions underpinning researching approaches emanating from the global north. This is an important contextualising move, given that these debates have surfaced crucial understandings about the dangers of unquestioned assumptions underpinning researching approaches in intercultural and cross-cultural contexts. The chapter outlines how practice architectures, the key theoretical lens employed in this book, have attempted to counter these exclusions. It focusses on the theory’s emergence from the relational (political and material) work of the pedagogy, education, and praxis (PEP) network. This historicising move is part of our shared authorial commitment to rendering visible the taken-for-granted assumptions underpinning researching approaches, including those, such as practice architectures theory, that have a shared commitment to critical educational praxis. The final section of the chapter considers the possibilities and limitations of practice architectures theory as a means of challenging taken-for-granted ontological and epistemological assumptions of research and researching practices.

The purpose of this paper is to review ontologies and data models currently in use for augmented reality (AR) applications, in the cultural heritage (CH) domain, specifically in an urban environment. The aim is to see the current trends in ontologies and data models used and investigate their applications in real world scenarios. Some special cases of applications or ontologies are also discussed, as being interesting enough to merit special consideration.

A search using Google Scholar, Scopus, ScienceDirect and IEEE Xplore was done in order to find articles that describe ontologies and data models in AR CH applications. The authors identified the articles that analyze the use of ontologies and/or data models, as well as articles that were deemed to be of special interest.

This review found that CIDOC-CRM is the most popular ontology closely followed by Historical Context Ontology (HiCO). Also, a combination of current ontologies seems to be the most complete way to fully describe a CH object or site. A layered ontology model is suggested, which can be expanded according to the specific project.

This study provides an overview of ontologies and data models for AR CH applications in urban environments. There are several ontologies currently in use in the CH domain, with none having been universally adopted, while new ontologies or extensions to existing ones are being created, in the attempt to fully describe a CH object or site. Also, this study suggests a combination of popular ontologies in a multi-layer model.