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In recent years, knowledge graph completion has gained increasing research focus and shown significant improvements. However, most existing models only use the structures of knowledge graph triples when obtaining the entity and relationship representations. In contrast, the integration of the entity description and the knowledge graph network structure has been ignored. This paper aims to investigate how to leverage both the entity description and the network structure to enhance the knowledge graph completion with a high generalization ability among different datasets.

The authors propose an entity-description augmented knowledge graph completion model (EDA-KGC), which incorporates the entity description and network structure. It consists of three modules, i.e. representation initialization, deep interaction and reasoning. The representation initialization module utilizes entity descriptions to obtain the pre-trained representation of entities. The deep interaction module acquires the features of the deep interaction between entities and relationships. The reasoning component performs matrix manipulations with the deep interaction feature vector and entity representation matrix, thus obtaining the probability distribution of target entities. The authors conduct intensive experiments on the FB15K, WN18, FB15K-237 and WN18RR data sets to validate the effect of the proposed model.

The experiments demonstrate that the proposed model outperforms the traditional structure-based knowledge graph completion model and the entity-description-enhanced knowledge graph completion model. The experiments also suggest that the model has greater feasibility in different scenarios such as sparse data, dynamic entities and limited training epochs. The study shows that the integration of entity description and network structure can significantly increase the effect of the knowledge graph completion task.

The research has a significant reference for completing the missing information in the knowledge graph and improving the application effect of the knowledge graph in information retrieval, question answering and other fields.

The outbreak of the SARS-CoV-2 (COVID-19) pandemic has caused significant disruptions to academic activities in educational institutions across countries of the world. In the context of transnational higher education (TNHE), the pandemic has led to major shifts in face-to-face teaching and learning, students’ support services and student engagement. While a number of scholarly studies have examined the effect of the pandemic on education provision across different educational levels, not much has been done to address existing gaps in how academic leaders could support the transformation of the TNHE sector to respond to current disruptions. In order to address these gaps, the current study adopts a case study approach to examine the complex and evolving academic leadership roles in TNHE institutions in Ghana with respect to remote teaching and learning and virtual team activities. The current study addresses the following questions: What academic leadership approaches are essential to developing innovative practices in host TNHE in order to meet the learning needs of students during and after the pandemic? How can transformational leadership approaches interface with institutional theory to provide new direction for transforming TNHE during and after the pandemic? How can academic leadership roles support the transformation of TNHE during and after the COVID-19 pandemic? As a major contribution for addressing gaps in academic leadership roles in TNHE environments especially during COVID-19, the current study proposes an eight-component transformation model. The study concludes by arguing that the challenges facing TNHE especially during the current period of disruptions will require a transformative and innovative academic leadership approach that would ensure that education delivery addresses current and future students’ learning needs.

This chapter employs critical discourse analysis (CDA) to examine three key policy documents related to international education in New Zealand: The International Student Wellbeing Strategy (ISW), The New Zealand’s International Education Strategy 2018–2020 (IES), and The New Zealand’s Strategic Recovery Plan (SRP) for the International Education Sector. It asks, “How are discourses of international student wellbeing deployed in New Zealand’s international education policy documents?” The findings suggest that the actual targets of wellbeing in New Zealand international education policies were less the international students than New Zealand itself. I argue that discourses of international student wellbeing are instrumentalized in policy discourses to position New Zealand as a progressive and inclusive society and feed the competitive market dynamics driving the global international education market.

The aim of this chapter is to present a comprehensive definition of Global Services that encompasses the wide variety of phenomena currently present in the international trade in services to bring to light the shift we are witnessing from Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), and Knowledge Process Outsourcing (KPO) models toward end-to-end (E2E) services and to highlight the factors which have had and will have an effect on these processes in the coming years.

The purpose of this qualitative, single-case study was to explore the development of Jamaica’s maritime education and training (MET) curriculum within the local education context. In this research, the story of the development and sustainability of the local MET curriculum in its 40-year journey from 1980 to present (post 2020), as communicated by various maritime stakeholders and archival documents, is chronicled.

The study utilized a qualitative orientation and was an embedded single-case study in its design. The entire local MET institution community and those legislatively and operationally allied to its sustained viability constituted the general population of this study. Non-probability sampling techniques were used to arrive at a maximum variation sample. Three sources of data were used in this study: individual interviews, focus group discussions and documents.

The Jamaican (local) MET curriculum was the brainchild of local perspicacity that was empowered by international benevolence. It was developed to satisfy market demands that existed at the time of its inception. These market requirements of the maritime industry are what impacted the development of the local MET curriculum over four decades. Several other factors led to the sustained viability of the local MET curriculum. These included the ability of the local MET curriculum to meet direct market needs and maintain its fitness for purpose.

It is the view of the researcher that the findings of this study were limited by the fact that the voices of current students and employers from the four decades of the curriculum's existence are not represented in this initial study. The perspectives from these two sources would have broadened the description presented in this study.

This research has shown that specialized higher education (HE) institutions are better served in their business when they maintain a symbiotic relationship with the industry for which they are producing graduates.

The treatment of HE as a service industry has gained traction globally. This would suggest that ‘product placement' in specialized HE is important to the growth, development and longevity of that course of study within the society in which it exists.

There is a dearth of national research on Jamaica's four-decades-old MET curriculum and the elements that lend to the sustained viability of same. This discussion of sustainability of the MET curriculum will benefit maritime educators and policymakers, who must continue to hone this curriculum so that it is fit for purpose. The study will also identify some of the elements of a sustainable, specialized HE curriculum. The elements identified herein can serve as exemplars and conceptual starting points for other contexts where the discussion of the sustainability of curriculum needs to be had.

Learning from safety accidents and sharing safety knowledge has become an important part of accident prevention and improving construction safety management. Considering the difficulty of reusing unstructured data in the construction industry, the knowledge in it is difficult to be used directly for safety analysis. The purpose of this paper is to explore the construction of construction safety knowledge representation model and safety accident graph through deep learning methods, extract construction safety knowledge entities through BERT-BiLSTM-CRF model and propose a data management model of data–knowledge–services.

The ontology model of knowledge representation of construction safety accidents is constructed by integrating entity relation and logic evolution. Then, the database of safety incidents in the architecture, engineering and construction (AEC) industry is established based on the collected construction safety incident reports and related dispute cases. The construction method of construction safety accident knowledge graph is studied, and the precision of BERT-BiLSTM-CRF algorithm in information extraction is verified through comparative experiments. Finally, a safety accident report is used as an example to construct the AEC domain construction safety accident knowledge graph (AEC-KG), which provides visual query knowledge service and verifies the operability of knowledge management.

The experimental results show that the combined BERT-BiLSTM-CRF algorithm has a precision of 84.52%, a recall of 92.35%, and an F1 value of 88.26% in named entity recognition from the AEC domain database. The construction safety knowledge representation model and safety incident knowledge graph realize knowledge visualization.

The proposed framework provides a new knowledge management approach to improve the safety management of practitioners and also enriches the application scenarios of knowledge graph. On the one hand, it innovatively proposes a data application method and knowledge management method of safety accident report that integrates entity relationship and matter evolution logic. On the other hand, the legal adjudication dimension is innovatively added to the knowledge graph in the construction safety field as the basis for the postincident disposal measures of safety accidents, which provides reference for safety managers' decision-making in all aspects.

This paper aims to analyse Barcelona City Council's tourism policy documents to detect how, through the influence of research, different pathways are produced to achieve social impact.

Using the case study approach, a qualitative content analysis is applied to review 31 tourism policy documents of Barcelona City Council.

The results show that the influence of tourism research on Barcelona City Council's policy documents occurs through the following pathways that drive potential social impact: the development of shared research programmes, joint projects, the creation of information exchange platforms, support for academia, the creation of debates, the founding of institutes, the referencing of scientific articles and studies commissioned directly by the City Council from higher education bodies for implementation in the city.

The originality of this paper is to highlight the social relevance of research and to contribute to raising awareness among researchers. The social impact of research is an under-explored topic in the field of tourism. Moreover, there is little research that conducts this analysis through policy documents.

The regional comprehensive economic partnership (RCEP) is promising as per the claims and can be revolutionary for the Asia–Pacific Region. The member countries will get a boost in the post-pandemic world due to the RCEP. According to Brookings, the RCEP is going to be an agreement reshaping the global economics. This study aims to clarify the aspects related to the RCEP and how it can boost global economics.

The study employs qualitative descriptive analysis to address the status of RCEP in the region and the consequences of such main transnational partnership. The study is based on economic reports, official documents and data directly related to the subject of the study.

Findings show that the RCEP will be a significant driver of regional trade despite its faults. The RCEP's tariff benefits and rules of origin, notwithstanding their relatively restricted scope, will encourage enterprises to source products and services from RCEP members, and in combination, RCEP and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) are anticipated to replace at least some competing US commodities, services and farm exports. For items that integrate parts and components from inside the area, such as from China, the RCEP is projected to reduce tax and trade facilitation costs, allowing enterprises to avoid US Section 301 tariffs.

By examining how the RCEP operates within the framework of domestic and international trade, this study contributes to a deeper understanding of RCEP and analyses its nature based on data and official reports.