HighlightJournal of Biomedical Semantics

DCSO: towards an ontology for machine-actionable data management plans

Paper proposing the DMP Common Standard Ontology (DCSO) as a serialisation of the DCS core concepts.

The authors propose the DMP Common Standard Ontology (DCSO) to represent Data Management Plans as machine-actionable artefacts. The ontology is based on the Research Data Alliance DMP Common Standard and aims to provide a standardised way to describe controlled vocabularies. The paper reports on a community effort to create the DCSO, which can become a suitable candidate for a reference serialisation of the DMP Common Standard.

Based on: DCSO: towards an ontology for machine-actionable data management plans · Journal of Biomedical Semantics

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

Highlightopenalex.org

Ontology-Based Data Access: A Survey

A survey on the framework of ontology-based data access for providing user-friendly access to relational data sources.

The paper discusses the main ingredients, key results, techniques, applications, and future challenges of ontology-based data access. It focuses on relational data sources and provides a comprehensive overview of the field. The authors present the theoretical foundations, practical techniques, and potential applications of this semantic paradigm.

Based on: Ontology-Based Data Access: A Survey

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

Highlightopenalex.org

Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

A translation-based model for multilingual knowledge graph embeddings.

The paper proposes MTransE, a model that provides transitions for each embedding vector to its cross-lingual counterparts in other spaces. It can be trained on partially aligned graphs and preserves the key properties of monolingual embeddings. The experiments show promising results on cross-lingual entity matching and triple-wise alignment verification.

Based on: Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

HighlightSemantic Web

Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO

A survey comparing the data quality criteria of five large knowledge graphs.

The paper compares the data quality of five large knowledge graphs: DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. It provides a framework for analyzing and selecting the most suitable graph for a given setting. The authors propose data quality criteria to evaluate these graphs.

Based on: Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO · Semantic Web

Highlightopenalex.org

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

This paper presents a method for question answering with knowledge bases using staged query graph generation.

The authors propose a semantic parsing approach that generates query graphs in stages to answer questions based on a knowledge base. This method improves the accuracy of question answering by iteratively refining the query graph. The proposed approach is evaluated on several benchmarks and shows competitive results compared to state-of-the-art methods.

Based on: Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base