HighlightProceedings of the ACM on Management of Data

PG-Schema: Schemas for Property Graphs

A formalism for specifying property graph schemas with flexible type definitions and expressive constraints.

The authors propose PG-Schema, a simple yet powerful formalism for specifying property graph schemas. It features flexible type definitions supporting multi-inheritance and expressive constraints based on the recently proposed PG-Keys formalism. The paper provides the formal syntax and semantics of PG-Schema, meeting principled design requirements grounded in contemporary property graph management scenarios.

Based on: PG-Schema: Schemas for Property Graphs · Proceedings of the ACM on Management of Data

HighlightarXiv (Cornell University)

Construction of Knowledge Graphs: State and Challenges

A research paper on the construction and updating of knowledge graphs.

The authors discuss graph models, requirements for KG construction pipelines, and necessary steps to build high-quality KGs. They evaluate the state-of-the-art and identify areas in need of further research. The paper provides an overview of the individual steps involved in creating and updating KGs from unstructured and structured data sources.

Based on: Construction of Knowledge Graphs: State and Challenges · arXiv (Cornell University)

HighlightArtificial Intelligence Review

Knowledge Graphs: Opportunities and Challenges

A systematic overview of knowledge graphs, focusing on opportunities and challenges.

This paper presents a comprehensive review of knowledge graphs, discussing their applications in AI systems and potential fields. It also explores technical challenges such as knowledge graph embeddings, acquisition, completion, fusion, and reasoning. The authors aim to provide insights for future research and development in the field.

Based on: Knowledge Graphs: Opportunities and Challenges · Artificial Intelligence Review

HighlightWU Research

How Does Knowledge Evolve in Open Knowledge Graphs?

This paper explores knowledge evolution in open knowledge graphs.

The authors investigate how knowledge evolves in open knowledge graphs, examining the dynamics of knowledge growth and change. They propose a framework for understanding and analyzing knowledge evolution in these graphs. The study contributes to the field by providing insights into the mechanisms driving knowledge evolution and its implications for knowledge graph management.

Based on: How Does Knowledge Evolve in Open Knowledge Graphs? · WU Research

HighlightJournal of Web Semantics

Streaming linked data: A survey on life cycle compliance

A survey on the life cycle compliance for Streaming Linked Data.

The paper surveys existing Stream Reasoning applications and proposes an updated life cycle for managing data streams on the Web. It identifies areas where the initial proposal needed reordering or splitting up and provides guidelines and best practices for each step. The updated life cycle serves as a blueprint for future SR applications.

Based on: Streaming linked data: A survey on life cycle compliance · Journal of Web Semantics

HighlightVLDB Endowment

QSE: Extraction of Validating Shapes from Very Large Knowledge Graphs

Proposes a Quality Shapes Extraction approach for extracting validating shapes in very large knowledge graphs.

The paper presents the QSE approach, which uses SHACL/ShEx to extract validating shapes from large knowledge graphs. It provides both exact and approximate solutions with confidence metrics. The authors achieve significant speed improvements and spurious shape reductions on DBpedia.

Based on: QSE: Extraction of Validating Shapes from Very Large Knowledge Graphs · VLDB Endowment

HighlightVBN Forskningsportal (Aalborg Universitet)

Knowledge Graph Exploration Systems: are we lost?

A position paper on the challenges and requirements for effective knowledge graph exploration systems.

The authors discuss the limitations of current knowledge graph data management systems in meeting the needs of KG exploration use cases. They present an overview of state-of-the-art approaches, identify unmet requirements, and highlight promising research directions.

Based on: Knowledge Graph Exploration Systems: are we lost? · VBN Forskningsportal (Aalborg Universitet)

HighlightIEEE Transactions on Neural Networks and Learning Systems

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

Comprehensive review of knowledge graph research topics and recent breakthroughs.

The paper provides a survey of knowledge graphs, covering representation learning, acquisition, and applications.,It reviews various aspects of knowledge graph embedding, including representation space, scoring function, encoding models, and auxiliary information.,The authors also explore emerging topics such as metarelational learning, commonsense reasoning, and temporal knowledge graphs.

Based on: A Survey on Knowledge Graphs: Representation, Acquisition, and Applications · IEEE Transactions on Neural Networks and Learning Systems

HighlightACM Computing Surveys

Knowledge Graphs

Comprehensive introduction to knowledge graphs.

The article provides an overview of knowledge graphs, their applications, and challenges.,It motivates and contrasts various graph-based data models and query languages.,The authors explain how knowledge can be represented and extracted using deductive and inductive techniques.

Based on: Knowledge Graphs · ACM Computing Surveys

HighlightJournal of Biomedical Semantics

Enabling ad-hoc reuse of private data repositories through schema extraction

A paper proposing a configurable and automated schema extraction approach for RDF triple stores.

The authors present an approach to extract and publish data schemas from private repositories, enabling SPARQL query formulation without direct access. Evaluation with four datasets shows the effectiveness of this method in deriving concise and task-relevant schemas. This approach can facilitate reuse of data from previously inaccessible sources.

Based on: Enabling ad-hoc reuse of private data repositories through schema extraction · Journal of Biomedical Semantics

HighlightGhent University Academic Bibliography (Ghent University)

Improving and assessing data quality of knowledge graphs

A dissertation on improving and assessing data quality in knowledge graphs.

This dissertation focuses on improving data quality and assessing semantic quality of knowledge graphs. It investigates two challenges: including data transformations to clean the data, and evaluating the quality of knowledge graphs on both data values and semantic relationships.

Based on: Improving and assessing data quality of knowledge graphs · Ghent University Academic Bibliography (Ghent University)

HighlightSemantic Web

RDF graph validation using rule-based reasoning

Paper proposing an alternative validation approach for RDF graphs using rule-based reasoning.

The paper presents a new validation method that uses rule-based reasoning to validate RDF graphs. It compares to existing approaches and provides a formal ground and practical implementation called Validatrr, which is based on N3Logic and the EYE reasoner. The proposed approach better explains the root cause of violations and returns an accurate number of violations.

Based on: RDF graph validation using rule-based reasoning · Semantic Web