HighlightCurated by Aramai Editorial

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

HighlightCurated by Aramai Editorial

EPOS Multi-Disciplinary Data Portal for Integrated Access to Solid Earth Science Datasets

A platform for integrating solid Earth science datasets.

The European Plate Observing System (EPOS) provides a user-oriented platform for solid Earth science data integration.,It is based on FAIR principles and governance frameworks, with community building and technical integration across research infrastructures.,This portal aims to provide sustainable multidisciplinary access to solid Earth science datasets.

Based on: EPOS Multi-Disciplinary Data Portal for Integrated Access to Solid Earth Science Datasets · Scientific Data (Nature)

HighlightCurated by Aramai Editorial

An Extensive Methodology and Framework for Quality Assessment of DCAT-AP Datasets

Proposes a methodology to assess compliance with DCAT-AP RDF specifications for European Open Data.

The paper presents an extensive methodology and framework for quality assessment of datasets compliant with the DCAT-AP RDF specification. It addresses challenges in qualitative implementation by open data providers, offering reusable vocabularies and validation guidelines. The proposed approach aims to improve the quality and interoperability of open data in Europe.

Based on: An Extensive Methodology and Framework for Quality Assessment of DCAT-AP Datasets · LNCS / ESWC

HighlightCurated by Aramai Editorial

PG-Schema: Schemas for Property Graphs

Proposes PG-Schema as a DDL for property graph systems.

Addresses the schema support gap in property graph systems and ISO GQL standard.,Introduces PG-Schema, covering node/edge types, property constraints, and cardinality.,Reflects strong community interest with 65 citations.

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

HighlightCurated by Aramai Editorial

Foundation Models and Fair Use

A paper discussing the intersection of foundation models and fair use.

The authors examine how foundation models, a type of large language model, interact with fair use principles. They explore the implications of these interactions on copyright law and potential solutions for mitigating harm. The paper aims to provide a framework for understanding the relationship between foundation models and fair use.

Based on: Foundation Models and Fair Use

HighlightCurated by Aramai Editorial

FAIR-Checker: Supporting Digital Resource Findability and Reuse with Knowledge Graphs and Semantic Web Standards

Assesses FAIRness using Knowledge Graphs and Semantic Web standards.

The FAIR-Checker uses SPARQL-based checks for metadata quality to assess FAIR compliance.,It evaluates datasets, tools, and training materials for adherence to FAIR principles.,This approach addresses the automated FAIRness assessment gap using Knowledge Graphs.

Based on: FAIR-Checker: Supporting Digital Resource Findability and Reuse with Knowledge Graphs and Semantic Web Standards · Journal of Biomedical Semantics

HighlightCurated by Aramai Editorial

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)

HighlightCurated by Aramai Editorial

Large Language Models for Software Engineering: A Systematic Literature Review

A systematic literature review on the application and effects of Large Language Models in Software Engineering.

The authors conducted a systematic literature review to understand how Large Language Models can optimize processes in Software Engineering. They analyzed recent publications exploring LLMs applied to various SE tasks, highlighting their applications, effects, and limitations. The study aims to bridge the gap in understanding the potential of LLMs in SE.

Based on: Large Language Models for Software Engineering: A Systematic Literature Review

HighlightCurated by Aramai Editorial

A Metaverse: Taxonomy, Components, Applications, and Open Challenges

Paper on the concept of the metaverse, its components, applications, and open challenges.

The paper divides the metaverse into three components (hardware, software, contents) and approaches (user interaction, implementation, application). It describes essential methods based on these components and techniques to representative metaverse platforms. The authors also summarize limitations and directions for implementing the immersive metaverse.

Based on: A Metaverse: Taxonomy, Components, Applications, and Open Challenges · IEEE Access

HighlightCurated by Aramai Editorial

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning

A paper proposing a new approach to question answering using neural language modeling and symbolic reasoning.

The authors present NELLIE, a system that combines neural language modeling with symbolic reasoning to answer questions. This approach is grounded in natural language corpora and produces human-interpretable proof trees. The system outperforms state-of-the-art reasoners while providing knowledge-grounded explanations.

Based on: NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning · arXiv (Cornell University)

HighlightCurated by Aramai Editorial

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

HighlightCurated by Aramai Editorial

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)