Application of Social Network Analysis to Health Care Sectors [PDF]
ObjectivesThis study aimed to examine the feasibility of social network analysis as a valuable research tool for indicating a change in research topics in health care and medicine.MethodsPapers used in the analysis were collected from the PubMed database
Hae Lan Jang +2 more
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Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model [PDF]
In this paper we investigate the relationships between a multipreferential semantics for defeasible reasoning in knowledge representation and a deep neural network model. Weighted knowledge bases for description logics are considered under a"concept-wise"
Laura Giordano, Daniele Theseider Dupr'e
semanticscholar +1 more source
Education and training for industrial biotechnology and engineering biology
Industrial biotechnology is focused on the production of bio-based fuels, chemicals and materials such as plastics and textiles. Engineering biology, synonymous with synthetic biology, provides a platform technology that brings an engineering approach to
Camille J. Delebecque, Jim Philp
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Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts [PDF]
Many large-scale knowledge bases simultaneously represent two views of knowledge graphs (KGs): an ontology view for abstract and commonsense concepts, and an instance view for specific entities that are instantiated from ontological concepts. Existing KG
Junheng Hao +4 more
semanticscholar +1 more source
A MODEL OF KNOWLEDGE ACQUISITION IN THE MAINTENANCE DEPARTMENT OF A PRODUCTION COMPANY [PDF]
The knowledge acquisition model proposed in this paper is designed to assist with the acquisition of knowledge in a company possessing its own maintenance department. The model is built on the basis of knowledge bases.
Małgorzata ŚLIWA, Ewelina KOSICKA
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Document-enhanced Question Answering over Knowledge-Bases [PDF]
Recently,knowledge base(KB) has been widely adopted to the task of question answering(QA) to provide a proper answer for a given question,known as the KBQA problem.However,knowledge base itself may be incomplete(e.g.KB does not contain the answer to the ...
FENG Chengcheng, LIU Pai, JIANG Linying, MEI Xiaohan, GUO Guibing
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Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases [PDF]
When answering natural language questions over knowledge bases (KBs), different question components and KB aspects play different roles. However, most existing embedding-based methods for knowledge base question answering (KBQA) ignore the subtle inter ...
Yu Chen, Lingfei Wu, Mohammed J. Zaki
semanticscholar +1 more source
Mining Minds: an innovative framework for personalized health and wellness support
The world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital technologies to empower people in their self-management as well as to enhance ...
Oresti Banos +6 more
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Data to knowledge: how to get meaning from your result
Structural and functional studies require the development of sophisticated `Big Data' technologies and software to increase the knowledge derived and ensure reproducibility of the data.
Helen M. Berman +10 more
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Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems [PDF]
End-to-end task-oriented dialog systems usually suffer from the challenge of incorporating knowledge bases. In this paper, we propose a novel yet simple end-to-end differentiable model called memory-to-sequence (Mem2Seq) to address this issue. Mem2Seq is
Andrea Madotto +2 more
semanticscholar +1 more source

