HighlightCurated by Aramai EditorialIEEE Communications Magazine

Proof of Unlearning for Semantic Knowledge Bases in Large Language Models-Enabled Semantic Communication

A framework for efficiently and verifiably updating large language model-enabled semantic knowledge bases.

The authors propose a proof-of-unlearning framework for updating large language models (LLMs) used in semantic knowledge bases. The framework tracks the evolution of unlearning by measuring drifts in the LoRA adapter subspace. Experimental results demonstrate its effectiveness. This work addresses the challenge of removing outdated, malicious, or privacy-sensitive content from LLMs without retraining.

Based on: Proof of Unlearning for Semantic Knowledge Bases in Large Language Models-Enabled Semantic Communication · IEEE Communications Magazine

HighlightCurated by Aramai EditorialLNCS / ISWC

Ontology Repositories and Semantic Artefact Catalogues with OntoPortal Technology

A paper on the OntoPortal Alliance consortium's platforms for ontology management.

The OntoPortal Alliance consortium provides common platforms for receiving, hosting, serving, aligning, and enabling reuse of ontologies and semantic artefacts.,These platforms make ontologies FAIR (Findable, Accessible, Interoperable, Reusable).,They address the growing need for governance of exploding number of semantic artefacts in science.

Based on: Ontology Repositories and Semantic Artefact Catalogues with OntoPortal Technology · LNCS / ISWC

HighlightCurated by Aramai EditorialData 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)

HighlightCurated by Aramai EditorialJournal 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

HighlightCurated by Aramai EditorialGhent 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)