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Knowledge representation and acquisition for ethical AI: challenges and opportunities
Machine learning (ML) techniques have become pervasive across a range of different applications, and are now widely used in areas as disparate as...
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HiveRel: hexagons visualization for relationship-based knowledge acquisition
The growing abundance in complex network data models is constantly increasing the challenges for non-expert users who perform an effective...
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Knowledge Management and Acquisition for Intelligent Systems 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15-16, 2023, Proceedings
This book constitutes the refereed proceedings of the 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, held in...
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Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition
Making responsible lending decisions involves many factors. There is a growing amount of research on machine learning applied to credit risk...
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An ontological and semantics based knowledge acquisition correlated framework for corporate organizations
Corporate Governance aids organizations in controlling their operations. Corporate governance disclosure practices (CGDP) involves disclosure of...
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Explanation and Knowledge Acquisition in Ad Hoc Teamwork
State of the art frameworks for ad hoc teamwork i.e., for enabling an agent to collaborate with others “on the fly”, pursue a data-driven approach,...
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Towards combining commonsense reasoning and knowledge acquisition to guide deep learning
Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI. Training these...
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Understanding Indonesia millennia Ulama online knowledge acquisition and use in daily fatwa making habits
Social media have influenced millennials of ulama or Muslim scholars in fatwa production. They access and use online knowledge to make daily fatwa ...
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Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions Using Knowledge Graph Embedding
In Human-Robot Interaction (HRI) systems, a challenging task is sharing the representation of the operational environment, fusing symbolic knowledge...
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Employing animation-based TE to activate Chinese children’ cognitive-involvement in L2 feature acquisition
A substantial amount of literature has shown that the input flooding and enhancement (Textual enhancement, TE) technique helps learners to perceive...
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Is M-learning acceptance influenced by knowledge acquisition and knowledge sharing in develo** countries?
Researchers have shown that knowledge acquisition and sharing have considerably influenced the acceptance of various technologies. However, there is...
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CoolGust: knowledge representation learning with commonsense knowledge guidelines and constraints
Representation learning serves as a crucial link between knowledge graphs and neural models. Knowledge graphs are typical symbolic models and require...
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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...
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Knowledge Representation Learning and Knowledge-Guided NLP
Knowledge is an important characteristic of human intelligence and reflects the complexity of human languages. To this end, many efforts have been...
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The multiple relationships among knowledge heterogeneity, knowledge transfer and knowledge innovation as moderated by microstructure holes
The positive relationship between knowledge transfer and knowledge innovation is recognized by most scholars, while knowledge heterogeneity, as a...
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Automated discovery of symbolic laws governing skill acquisition from naturally occurring data
Skill acquisition is a key area of research in cognitive psychology as it encompasses multiple psychological processes. The laws discovered under...
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A Sensor Data Acquisition System for Smart Agriculture
The agricultural economy of India depends heavily on agricultural production for its economic structure. Crop monitoring and timely interventions can...
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Exemplar-Free Lifelong Person Re-identification via Prompt-Guided Adaptive Knowledge Consolidation
Lifelong person re-identification (LReID) refers to matching people across different cameras given continuous data streams. The challenge of...
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Knowledge Management Model: A Process View
Knowledge is an indispensable resource for organizations to perform their tasks successfully and to innovate. Knowledge management is an integrated...