1,076 results for "knowledge"
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A Comprehensive Survey on Automatic Knowledge Graph Construction
Automatic knowledge graph construction aims at manufacturing structured human knowledge. To this end, much effort has historically been spent extracting informative fact patterns from different data sources. However, more recently, research interest has shifted to acquiring conceptualized…
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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Human knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction toward cognition and human-level intelligence. In this survey, we provide a comprehensive review of the…
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Knowledge Graphs: Opportunities and Challenges
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally important to organize and represent the enormous volume of knowledge appropriately. As graph data, knowledge graphs accumulate and convey knowledge of the real world. It has been well-recognized that…
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- Pengelompokan Barang Menggunakan Metode K-Mean Clustering Dan K-Medoiids Berdasarkan Hasil Penjualan Pada Kamajaya SerayaAhmad Erdiansyah · 2023 · UNILAK
- Knowledge Sharing Pada Komunitas Virtual Studi Kasus : Grup Facebook Jurusan Ilmu Perpustakaan Fakultas Ilmu Budaya Unversitas…ADE RAHMA DEWI -p · 2015 · UNILAK
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Trust, knowledge sharing, and innovative work behavior: empirical evidence from Poland
Purpose The purpose of this paper is to assess the effects of two types of trust (vertical and horizontal trust) on knowledge sharing (knowledge donating and knowledge collecting) and the impact of knowledge sharing on innovative work behavior (idea generation and idea realization). The study also…
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Digital technology driven knowledge sharing for job performance
Purpose The purpose of this study is to investigate how digital technologies are used for facilitating knowledge sharing and decision-making through enhanced coordination and communication and their impact on job performance in organizations. Design/methodology/approach A conceptual model is…
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Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review
…Our findings suggest that further research is needed to provide the knowledge necessary to develop implementation frameworks to guide the future implementation of AI in clinical practice and highlight the opportunity to draw on existing knowledge from the field of implementation science.
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Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study
…such as, increased dependence on non-humans, job security, lack of knowledge, safety, trust and lack of multiple stakeholders’perspectives. Very few reviews outside of the healthcare management domain consider human, organisational and wider societal factors of the AI adoption. In addition to…
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Knowledge Graph Completion: A Review
Knowledge graph completion (KGC) is a hot topic in knowledge graph construction and related applications, which aims to complete the structure of knowledge graph by predicting the missing entities or relationships in knowledge graph and mining unknown facts. Starting from the definition and types…
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Artificial intelligence and knowledge management: A partnership between human and AI
Emerging artificial intelligence (AI) capabilities will likely pervade nearly all organizational contours and activities, including knowledge management (KM). This article aims to uncover opportunities associated with the implementation of emerging systems empowered by AI for KM. In doing so, we…
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Journal Article
A importância da metodologia científica no desenvolvimento de artigos científicos
…language in an objective, clear, and enriching way, contributing to knowledge in various fields. The objective of this study is to present pathways for the development of scientific articles. Through writing articles, students and researchers can obtain information, organize their thoughts, develop…
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The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance
Abstract Companies are increasingly using artificial intelligence (AI) to provide performance feedback to employees, by tracking employee behavior at work, automating performance evaluations, and recommending job improvements. However, this application of AI has provoked much debate. On the one…
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Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs
The use of large language models (LLMs) in clinical medicine is currently thriving. Effectively transferring LLMs' pertinent theoretical knowledge from computer science to their application in clinical medicine is crucial. Prompt engineering has shown potential as an effective method in this…
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Knowledge Graphs
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and…
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Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making
While using artificial intelligence (AI) could improve organizational decision-making, it also creates challenges associated with the “dark side” of AI. However, there is a lack of research on managers' attitudes and intentions to use AI for decision making. To address this gap, we develop an…
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How does integrated knowledge translation (IKT) compare to other collaborative research approaches to generating and translating knowledge? Learning from experts in the field
BACKGROUND: Research funders in Canada and abroad have made substantial investments in supporting collaborative research approaches to generating and translating knowledge as it is believed to increase knowledge use. Canadian health research funders have advocated for the use of integrated…
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How do green knowledge management and green technology innovation impact corporate environmental performance? Understanding the role of green knowledge acquisition
…and practitioners alike have recently gravitated toward exploring how knowledge acquisition activities might improve business outcomes. To address this growing research interest, this study investigates the critical roles of green knowledge acquisition in enhancing green knowledge management and…
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A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks
A knowledge graph (KG), also known as a knowledge base, is a particular kind of network structure in which the node indicates entity and the edge represent relation. However, with the explosion of network volume, the problem of data sparsity that causes large-scale KG systems to calculate and…
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(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Recent years have brought about a renewed interest in commonsense representation and reasoning in the field of natural language understanding. The development of new commonsense knowledge graphs (CSKG) has been central to these advances as their diverse facts can be used and referenced by machine…
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