Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9718-z
Abstract: The brain can be viewed as a complex modular structure with features of information processing through knowledge storage and retrieval. Modularity ensures that the knowledge is stored in a manner where any complications in certain… read more here.
Keywords: multi task; neural networks; knowledge; knowledge representation ... See more keywords
Knowledge representation among assessors through free hierarchical sorting and a semi-directed interview: Exploring Beaujolais wines
Sign Up to like & getrecommendations! Published in 2017 at "Food Quality and Preference"
DOI: 10.1016/j.foodqual.2016.11.008
Abstract: One way of exploring knowledge representation is to compare expert and non-expert strategies. Expert knowledge representation seems to be acquired through both exposure and intensive formal training, leading to the development of skills and conceptual… read more here.
Keywords: hierarchical sorting; interview; knowledge; beaujolais wines ... See more keywords
As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018
Sign Up to like & getrecommendations! Published in 2018 at "Yearbook of Medical Informatics"
DOI: 10.1055/s-0038-1667078
Abstract: Summary Objectives: To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and Management (KRM). Methods: A comprehensive and standardized review of the medical informatics literature was performed… read more here.
Keywords: yearbook; knowledge; representation management; knowledge representation ... See more keywords
Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes
Sign Up to like & getrecommendations! Published in 2019 at "Yearbook of Medical Informatics"
DOI: 10.1055/s-0039-1677933
Abstract: Summary Objective : To select, present, and summarize the best papers published in 2018 in the field of Knowledge Representation and Management (KRM). Methods : A comprehensive and standardized review of the medical informatics literature… read more here.
Keywords: big data; bioinformatics pipelines; ontology; knowledge ... See more keywords
knowledge representation in Industry 4.0 scheduling problems
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Computer Integrated Manufacturing"
DOI: 10.1080/0951192x.2021.2022760
Abstract: ABSTRACT Industry 4.0 raises the need for a closer integration of management systems in manufacturing companies. Such process is driven by Cyber-Physical Systems (CPS) and the Internet of Things (IoT). Starting from the potential of… read more here.
Keywords: representation industry; scheduling problems; industry scheduling; industry ... See more keywords
The BioRECIPE Knowledge Representation Format
Sign Up to like & getrecommendations! Published in 2024 at "ACS Synthetic Biology"
DOI: 10.1101/2024.02.12.579694
Abstract: The BioRECIPE (Biological system Representation for Evaluation, Curation, Interoperability, Preserving, and Execution) knowledge representation format was introduced to facilitate seamless human-machine interaction while creating, verifying, evaluating, curating, and expanding executable models of intra- and intercellular… read more here.
Keywords: representation format; knowledge representation; representation; biology ... See more keywords
Optimal Recommendation Models Based on Knowledge Representation Learning and Graph Attention Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3248618
Abstract: Knowledge representation learning techniques process the knowledge graph, embedding entities and relationships into a continuous dense low-dimensional vector space, and providing the rich semantic association information between entities embedded in the knowledge graph to the… read more here.
Keywords: recommendation; representation learning; knowledge graph; knowledge ... See more keywords
TransH-RA: A Learning Model of Knowledge Representation by Hyperplane Projection and Relational Attributes
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3260139
Abstract: The TransE model plays a key role in dealing with data sparsity and promotes the development of knowledge graphs completion. However, TransE has some difficulties in dealing with one-to-many, many-to-one, many-to-many and transmission relationships. In… read more here.
Keywords: knowledge representation; learning model; hyperplane projection; model ... See more keywords
In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3575303
Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language processing. Notable models, such as OpenAI’s GPT series, have demonstrated… read more here.
Keywords: large language; knowledge; representation reasoning; language ... See more keywords
Neat Versus Scruffy: How Early AI Researchers Classified Epistemic Cultures of Knowledge Representation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Annals of the History of Computing"
DOI: 10.1109/mahc.2024.3498692
Abstract: Accounts of the history of symbolic artificial intelligence (AI) often categorize researchers and their programs through binary oppositions: logicist versus procedural, or alternatively, neat versus scruffy. These terms were often referenced throughout the 1970s and… read more here.
Keywords: neat versus; knowledge representation; versus scruffy; history ... See more keywords
Knowledge Representation Framework Combining Case-Based Reasoning with Knowledge Graphs for Product Design
Sign Up to like & getrecommendations! Published in 2019 at "Computer-Aided Design and Applications"
DOI: 10.14733/cadaps.2020.763-782
Abstract: Product design relies on various design knowledge, including explicit design knowledge and tacit design knowledge. This paper aims at issues that the current design knowledge representation methodology lacks scalability and flexibility, and presents a design… read more here.
Keywords: knowledge; design knowledge; knowledge graphs; knowledge representation ... See more keywords