Latest Articles for Knowledge Representation

LE- enhances knowledge representation for complex data handling.

This paper examines methods for assessing the relatedness of concepts using DBpedia.

YAGO 4.5 enhances data organization by merging Wikidata taxonomy with Schema.org.

A look at how ABA Learning shapes argument-making in artificial intelligence.

This article discusses using LLMs to automate ontology learning from unstructured text.

A fresh approach to understanding agent interactions and knowledge in systems.

Research pushes temporal link prediction using advanced regularisers in knowledge graphs.

Introducing UniBi, a model enhancing knowledge graph completion by focusing on entity uniqueness.

TEMT framework improves temporal knowledge graph completion using textual context.

ELPs enhance reasoning about knowledge and beliefs in complex scenarios.

Introducing a method that measures answer quality at different detail levels.

A new framework improves learning from temporal knowledge graphs for better predictions.

Learn how to expand and improve taxonomies effectively.

A look into how temporal knowledge graphs represent information over time.

A new method enhances language models through knowledge integration.

ChapTER combines historical context and textual knowledge for improved TKGR performance.

Combining Natural Language Inference and concept embeddings improves filling missing knowledge in ontologies.

A method to enhance machine understanding through multi-facet embeddings.

A new framework improves knowledge graph completion with diverse data types.

Automating ontology population improves knowledge management and accessibility.

Integrating semantic and structural knowledge enhances entity typing accuracy in knowledge graphs.

A system to streamline using OWL in object-oriented programming.

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.