Latest Articles for Knowledge Representation

HyperMono enhances knowledge graph accuracy using two-stage reasoning and qualifier monotonicity.

A novel method using binary vectors to represent language concepts efficiently.

MIMEA framework enhances alignment across diverse knowledge graphs.

A new method for better answers using incomplete knowledge graphs.

Innovative methods refine ontology embeddings for better knowledge base completion.

Exploring the role of non-rigid designators in modal description logics.

This paper introduces methods for better temporal fact extraction from complex sentences.

A new approach enhances AI accuracy by using Knowledge Graphs.

A novel method combines LLMs and KGs for improved reasoning accuracy.

Exploring a framework for understanding knowledge among multiple agents in modal logic.

A new approach to effectively manage and edit unstructured knowledge.

LLM4EA enhances the efficiency of connecting entities in diverse knowledge graphs.

A look at the role of Knowledge Graphs in organizing uncertain information.

Exploring the integration of concrete domains in description logics for enhanced reasoning.

LinkLogic provides clarity and reliability for link prediction in knowledge graphs.

A new algorithm improves planning effectiveness by managing knowledge depth.

New methods enhance explicit definitions in description logics for clearer knowledge representation.

Optimizing multi-hop reasoning improves speed and accuracy for complex data analysis.

This study highlights the need for improved inductive KGC datasets.

This article examines how relational concepts shape knowledge retrieval in large language models.

SAFER improves predictions in knowledge graphs with limited examples.

Learn how to manage data quality using SHACL and consistent query answering.

This work proposes methods to enhance knowledge graph completion through smarter rule sets.

Exploring links between argumentation and logic programming in artificial intelligence.

A method to enhance knowledge graph integration using entity type alignment and recognition.

Learn how to classify incomplete data in knowledge graphs using Naive Bayes classifiers.

ACoNE offers an efficient model for generating explainable query embeddings.

This study investigates how numerical literals affect link prediction in knowledge graphs.

A cost-based method addresses conflicting data in knowledge bases.

A new method bridges language models and knowledge graphs for better information access.

A look into frameworks for formal and rough concepts in logic and reasoning.

Discover methods for automatic rule mining in data sets.

Exploring new methods for better ontology alignment using knowledge graph embeddings.

Exploring the explainability issues in Graph Neural Networks and potential solutions.

A look into the structure and relationships of intuitionistic modal logics.

A new approach for expanding taxonomies using code-based prompts.

This study examines the interaction of knowledge from LLMs and semantic towers.

Introducing VHAKG, a tool connecting synchronized videos and knowledge for research.

A look at reasoning with conflicting information in various fields.

Learn how LE- logic improves knowledge representation and query answering.