Latest Articles for Knowledge Graphs

A look into fictional research shaping the Semantic Web's future.

Spider4SPARQL improves testing for translating natural language into SPARQL queries.

TEMT framework improves temporal knowledge graph completion using textual context.

Explore how knowledge graphs enhance research and healthcare in life sciences.

Assessing LLMs' abilities with Turtle syntax in knowledge graph tasks.

This paper examines techniques to reduce hallucination in language models for better accuracy.

New methods improve character persona extraction in dialogue agents.

A system to gather factual data from the web for Wikidata.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

Examining the role of dislocations in material properties and engineering.

IICONGRAPH enhances the study of art by improving knowledge graphs.

Advancements in deep learning enhance pandemic prediction accuracy through various modeling approaches.

A new method using octagons to improve knowledge graph representation.

Discover how link prediction enhances our understanding of biological interactions.

This study explores improving marketing campaigns using common sense knowledge and multimodal information.

MUGS algorithm improves understanding of pediatric diseases through electronic health records.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

TWIG model offers new insights into Knowledge Graphs and embeddings for better predictions.

KGroot enhances fault diagnosis in microservices through advanced knowledge graphs.

A new framework assesses how LLMs reason to answer complex questions.

Research reveals LLMs can process structured knowledge effectively, even when messy.

Learn how extractive summarization simplifies complex knowledge graphs.

This study examines how contextual knowledge enhances the detection of adverse drug events.

Automated methods improve efficiency in extracting information from Knowledge Graphs.

MP2D framework enhances how dialogue systems handle topic changes.

A study on combining knowledge graphs and counterfactual reasoning in AI.

New framework enhances link prediction in knowledge graphs using language models.

A new model enhances logic query responses using language models and knowledge graphs.

A new tool to improve access and analysis of agricultural data.

A new method enhances language models through knowledge integration.

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

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

A new method to assess the accuracy of language models using knowledge graphs.

Combining knowledge graph embedding and case-based reasoning for better treatments.

A proposal for a reference architecture in knowledge engineering to enhance system efficiency.

Exploring how Knowledge Graphs enhance understanding in AI's decision-making.

KGExplainer enhances transparency in knowledge graph completion through meaningful explanations.

Exploring how knowledge graphs improve AI explainability and user understanding.

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

A new method using knowledge graphs for finding causal relationships.