Teachers’ content and pedagogical content knowledge shape science instruction and student learning. This qualitative case study examines middle-school science teachers’ knowledge of pressure by adapting the Content Knowledge for Teaching...
In order to mitigate the risks of losing key personnel and their innate tacit knowledge resources, this paper explored a framework for reducing knowledge loss in South African public sector enterprises (PSEs) through the integration of knowledge mana...
Visual question answering (VQA), which is an important presentation form of AI-complete task and visual Turing tests, coupled with its potential application value, attracted widespread attention from both researchers in computer vision and natural la...
Supporting teacher candidates’ learning of coherent and well-ordered content knowledge is one of the most important educational aims in subject teacher education. To reach this aim, teacher educators need suitable tools to enhance the formation...
Background: The integration of Artificial Intelligence (AI) into Business Process Management Systems (BPMSs) has led to the emergence of AI-Augmented Business Process Management Systems (ABPMSs). These systems offer dynamic adaptation, real-time proc...
Green building is a practical pathway for meeting the European Green Deal objectives through lower life cycle impacts, healthier indoor environments, responsible material use, and improved resource efficiency across construction and renovation. This...
Knowledge is a key competitive advantage for small and medium enterprises (SMEs) as a way of competing with other organisations. There is a need to investigate SME adoption of knowledge management systems (KMSs). Knowledge management systems can only...
Lean Construction (LC) aims to enhance efficiency, minimize waste, and increase value in construction. However, its implementation is inconsistent, especially in developing countries like Jordan, due to a lack of assessment frameworks. This study exa...
A shrimp farmer in Taiwan practices innovation through trial-and-error for better income and a better environment, but such farmer-based innovation sometimes fails because the biological mechanism is unclear. Systematic field experimentation and labo...
Knowledge translation (KT) involves the co-creation, exchange and dissemination of knowledge to increase evidence-informed public health. Increasingly, there is a demand to strengthen evidence-informed public health, and with this, a need to understa...
Background: Diagnosing suspected abusive head trauma (AHT) requires the integration of clinical, imaging, ophthalmologic, and contextual information. The interpretation of these findings is often challenging because they differ in diagnostic relevanc...
This review paper synthesizes the application of knowledge graphs (KGs) in Alzheimer’s disease (AD) research, based on two basic questions, as follows: what types of input data are available to construct these knowledge graphs, and what purpose...
Livestock health knowledge graphs are essential for decision-making and reasoning in animal husbandry, yet existing knowledge is scattered across unstructured literature and encoded in narrowly scoped, species-specific models, resulting in semantic f...
The industrial manufacturing model is undergoing a transformation from a product-centric model to a customer-centric one. Driven by customized requirements, the complexity of products and the requirements for quality have increased, which pose a chal...
The major reason that the fully automated generalization of residential areas has not been achieved to date is that it is difficult to acquire the knowledge that is required for automated generalization and for the calculation of spatial similarity d...
This study investigates data-driven business model innovation (DDBMI) for incumbent manufacturers, underscoring its importance in various strategic and managerial contexts. Employing topic modeling, the study identifies nine key topics of DDBMI. Thro...
Geospatial data is urgently needed in decision-making processes to achieve Sustainable Development Goals (SDGs) at global, national, regional and local scales. While the advancement of geo-technologies to obtain or produce geospatial data has become...
Agricultural knowledge and innovation system (AKIS) has a strong potential to enhance economic performance of farming and contribute to agricultural sustainability, as it may increase synergies and complementarity among actors. This paper is aimed to...
This study develops and integrates an efficient knowledge-based system and a component-based framework to design an intelligent and flexible home health care system. The proposed knowledge-based system integrates an efficient rule-based reasoning mod...
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder. From the data collected by the Ministry of Public Health, Thailand, it has been reported that more than one million Thai youths (6–12 years) have been diagnosed w...
Analysing the formation of the Knowledge Framework (KF) for the Municipality of Fondi, a medium size municipality in central Italy, this research explains the methodology used to describe and interpret its specific territorial condition, aiming to de...
Accurate pavement crack segmentation is essential for structural health monitoring, yet existing methods often face a trade-off between segmentation accuracy and computational efficiency. To address this issue, a novel teacher–student framework...
Driven by the wave of artificial intelligence, the educational practice and application of robots have become increasingly common. Despite extensive coverage in the literature on various aspects of educational robots, there are still unexplored avenu...
Accurate assessment of species rarity and conservation status requires an approach that integrates data-driven models with established ecological knowledge. In this study, we applied multispecies occupancy (MSO) and latent factor multispecies occupan...
Competence frameworks function as structured knowledge codification systems: authoritative, domain-wide representations of professional knowledge that define what counts as competence within a field and how it should be organised. As such, they const...
The cosmetic industry is a highly innovative and competitive sector in which new product development (NPD) requires integrating multidisciplinary knowledge from different scientific and technological domains. However, the increasing complexity of cos...
To teach a subject successfully it is necessary to have knowledge of that subject and of pedagogy as it relates to that subject. Based on the observation of teachers teaching mathematics, Rowland and colleagues developed the Knowledge Quartet. Whilst...
Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. In this st...
This study addresses cross-domain recommendation when source-domain users and target-domain items are structurally disjoint. We propose an adaptive framework that embeds source behavior and target-item information in a shared semantic space. Its shar...
Mobility as a Service (MaaS) combines various modes of transportation to present mobility services to travellers based on their transport needs. This paper proposes a knowledge-based framework based on Artificial Intelligence (AI) to integrate variou...
Authorship profiling is a subtask of authorship identification. This task can be regarded as an analysis of personal writing styles, which has been widely investigated. However, no previous studies have attempted to analyze the authorship of classica...
In this age of digital transformation, knowledge-intensive organizations strive to improve business outcomes and sustainability by improving their knowledge-intensive business processes (KIBPs) to obtain a competitive advantage. Many researchers have...
14 December 2020
Attempts to classify the mobility levels of people with stroke (PWS) for a tailored exercise program in community settings have been few. We developed and evaluated a classified and tailored community-based (CTC) exercise program according to the mob...
Multimodal knowledge extraction has become increasingly important for applications that require compact and informative representations of text-image data, yet existing models often remain computationally expensive for practical use. To address this...
Many jobs today are predominantly knowledge work. This makes organizations dependent on value created by knowledge workers (KWs). Many of the initiatives to improve and manage knowledge worker productivity (KWP) give unpredictable results depending o...
The activities of daily living (ADL) ability level of an elderly patient is an important indicator in determining the patient’s degree of degenerative brain disease and is mainly evaluated through face-to-face interviews with doctors and patien...
Digitizing oral cultural heritage necessitates computational methods capable of bridging the acoustic, orthographic, and semantic gaps between historical and contemporary language forms. This study proposes a cascaded Automatic Speech Recognition&nda...
In the quest for intelligent robots, it is essential to enable them to understand tasks beyond mere manipulation. Achieving this requires a robust parsing mode that can be used to understand human cognition and semantics. However, the existing method...
Knowledge graphs have been extensively studied and applied, but most of these studies assume that the relationship facts in the knowledge graph are correct and deterministic. However, in the objective world, there inevitably exist uncertain relations...
This study examines the problem of the fragmentation of asynchronous online discourse by using the Knowledge Connection Analyzer (KCA) framework and tools and explores how students could use the KCA data in classroom reflections to deepen their knowl...
Dementia disease research encompasses diverse data modalities, including advanced imaging, deep phenotyping, and multi-omics analysis. However, integrating these disparate data sources has historically posed a significant challenge, obstructing the u...
Biomedical metal implants have many applications in clinical treatment. Due to a variety of application requirements, alloy materials with specific properties are being designed continuously. The traditional alloy properties testing experiment is fac...
Philosophers frequently define knowledge as justified, true belief. We built a mathematical framework that makes it possible to define learning (increasing number of true beliefs) and knowledge of an agent in precise ways, by phrasing belief in terms...
Autonomic self-management is a key challenge for next-generation networks. This paper proposes an automated analysis framework to infer knowledge in 5G networks with the aim to understand the network status and to predict potential situations that mi...
1 April 2009
Any e-organization, whether it is commercial or governmental, requires a knowledge management support in order to achieve optimal performance. Many of the technologies that serve the operations of such organizations can also support knowledge managem...
The construction industry (CI) has complex, human-based, dynamic, and fragmented structure. Therefore, effective Knowledge Management (KM) is the key to eliminate risks and ensure project success. However, KM applications in CI are behind other indus...
Human action recognition has been actively explored over the past two decades to further advancements in video analytics domain. Numerous research studies have been conducted to investigate the complex sequential patterns of human actions in video st...
Autonomous indoor service robots are supposed to accomplish tasks, like serve a cup, which involve manipulation actions. Particularly, for complex manipulation tasks which are subject to geometric constraints, spatial information and a rich semantic...
The research focuses on the limitations of traditional systems in optimizing information flow in the healthcare domain. It focuses on integrating knowledge graphs (KGs) and utilizing AI-powered applications, specifically conversational agents (CAs),...
In this work, we present an algorithmic framework that supports a decision process in which an end user is assisted by a domain expert to solve a problem. In addition, the communication between the end user and the domain expert is characterized by a...
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