Highlightopenalex.org

Scalable Extraction and Adoption of Shapes for Improving Data Quality and Query Processing in Knowledge Graphs

A thesis proposing techniques to improve data quality, efficient data access, and interoperability in Knowledge Graphs.

The resource proposes Quality Shapes Extraction (QSE) and SHACTOR to enhance data quality in Knowledge Graphs. It also introduces 'shapes statistics' for optimizing SPARQL query processing over KGs. The approach is demonstrated on both synthetic and real-world datasets, showing potential improvements in query performance.

Based on: Scalable Extraction and Adoption of Shapes for Improving Data Quality and Query Processing in Knowledge Graphs

HighlightProceedings of the AAAI Symposium Series

StructuGraphRAG: Structured Document-Informed Knowledge Graphs for Retrieval-Augmented Generation

A method for constructing knowledge graphs to enhance retrieval-augmented generation.

This paper presents StructuGraphRAG, a method that leverages document structures to inform the extraction process and constructs knowledge graphs. The approach is designed to enhance retrieval-augmented generation (RAG) for social science research. Experimental results show improved accuracy, comprehensiveness, and contextual relevance compared to traditional RAG methods.

Based on: StructuGraphRAG: Structured Document-Informed Knowledge Graphs for Retrieval-Augmented Generation · Proceedings of the AAAI Symposium Series

Highlightdoi.org

Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning

A method called SPIRES is available as part of the open source OntoGPT package.

SPIRES is a method that uses zero-shot learning to populate knowledge bases. It is part of the OntoGPT package, an open-source tool. The method's purpose and functionality are not further described in the provided snippet.

Based on: Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning

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

HighlightAutomation in Construction

Semantic Rule Checking of Cross-Domain Building Data Using SHACL

Uses SHACL for semantic rule checking across cross-domain building data.

This paper explores the application of SHACL shapes constraint language for semantic rule checking in construction industry. It presents a production deployment demonstrating SHACL validation. The study focuses on linked document delivery and information containers.

Based on: Semantic Rule Checking of Cross-Domain Building Data Using SHACL · Automation in Construction

HighlightData Intelligence (MIT Press)

The W3C Data Catalog Vocabulary Version 2: Rationale Design Principles and Uptake

W3C RDF vocabulary for data catalog interoperability.

DCAT v2 addresses gaps identified through implementation experience across communities, building on the 2014 W3C Recommendation. It supports wide adoption, especially with FAIR data principles. The vocabulary enables data catalog interoperability.

Based on: The W3C Data Catalog Vocabulary Version 2: Rationale Design Principles and Uptake · Data Intelligence (MIT Press)

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

HighlightJournal of Web Semantics

Completeness and consistency analysis for evolving knowledge bases

This paper presents an analysis on completeness and consistency in evolving knowledge bases.

The authors propose a framework to analyze the completeness and consistency of evolving knowledge bases. They introduce metrics to measure these aspects and apply them to several case studies. The results demonstrate the effectiveness of their approach in identifying issues with knowledge base evolution.

Based on: Completeness and consistency analysis for evolving knowledge bases · Journal of Web Semantics