MuSe: a multi-level storage scheme for big RDF data using MapReduce

Article Computer Science, Artificial Intelligence

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Shaoxiong Ji et al.

Summary: This survey provides a comprehensive review of knowledge graphs, covering topics such as knowledge graph representation learning, knowledge acquisition and completion, temporal knowledge graphs, and knowledge-aware applications. The study proposes a categorization and taxonomies on these topics, as well as explores emerging themes like metarelational learning, commonsense reasoning, and temporal knowledge graphs. Additionally, the research offers curated data sets and open-source libraries to facilitate future research in the field of knowledge graphs.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture

Luiz Henrique Zambom Santana et al.

Summary: This article surveys the usage of NoSQL databases to store large RDF graphs, discussing aspects such as model mapping, indexing, partitioning, and caching, as well as proposing a reference architecture.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

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Review Computer Science, Artificial Intelligence

A comprehensive overview of RDF for spatial and spatiotemporal data management

Fu Zhang et al.

Summary: This paper provides a comprehensive overview of RDF for spatial and spatiotemporal data management, covering essential aspects such as representation, querying, storage, performance assessment, datasets, and management tools. The direction of future research and some comparisons and analysis are also discussed in depth.

KNOWLEDGE ENGINEERING REVIEW (2021)

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Proceedings Paper Computer Science, Theory & Methods