Tootfinder

Yesterday, I've attended the MSE Research Data Forum 2025 organised by #NFDIMatWerk. Aside from the conference presentations, our little ontologies group was meeting and discussing future work on ontologies in NFDI-MatWerk, including NFDIcore, MatWerk Application Ontologies, and PMDcore.

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance
Peizhang Shao, Linrui Xu, Jinxi Wang, Wei Zhou, Xingyu Wu
https://arxiv.org/abs/2507.07748

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance
This paper establishes the first comprehensive review of Large Language Models (LLMs) applied within the legal domain. It pioneers an innovative dual lens taxonomy that integrates legal reasoning frameworks and professional ontologies to systematically unify historical research and contemporary breakthroughs. Transformer-based LLMs, which exhibit emergent capabilities such as contextual reasoning and generative argumentation, surmount traditional limitations by dynamically capturing legal seman…

An Ontology for Representing Curriculum and Learning Material
Antrea Christou, Chris Davis Jaldi, Joseph Zalewski, Hande K\"u\c{c}\"uk McGinty, Pascal Hitzler, Cogan Shimizu
https://arxiv.org/abs/2506.05751

An Ontology for Representing Curriculum and Learning Material
Educational, learning, and training materials have become extremely commonplace across the Internet. Yet, they frequently remain disconnected from each other, fall into platform silos, and so on. One way to overcome this is to provide a mechanism to integrate the material and provide cross-links across topics. In this paper, we present the Curriculum KG Ontology, which we use as a framework for the dense interlinking of educational materials, by first starting with organizational and broad pe…

Vers un cadre ontologique pour la gestion des comp{\'e}tences : {\`a} des fins de formation, de recrutement, de m{\'e}tier, ou de recherches associ{\'e}es
Ngoc Luyen Le (Heudiasyc), Marie-H\'el\`ene Abel (Heudiasyc), Bertrand Laforge (LPNHE)
https://arxiv.org/abs/2507.05767…

Vers un cadre ontologique pour la gestion des comp{é}tences : {à} des fins de formation, de recrutement, de m{é}tier, ou de recherches associ{é}es
The rapid transformation of the labor market, driven by technological advancements and the digital economy, requires continuous competence development and constant adaptation. In this context, traditional competence management systems lack interoperability, adaptability, and semantic understanding, making it difficult to align individual competencies with labor market needs and training programs. This paper proposes an ontology-based framework for competence management, enabling a structured re…

Audio recording involves an ontological flattening of its source material.

A Unified Ontology for Scalable Knowledge Graph-Driven Operational Data Analytics in High-Performance Computing Systems
Junaid Ahmed Khan, Andrea Bartolini
https://arxiv.org/abs/2507.06107

A Unified Ontology for Scalable Knowledge Graph-Driven Operational Data Analytics in High-Performance Computing Systems
Modern high-performance computing (HPC) systems generate massive volumes of heterogeneous telemetry data from millions of sensors monitoring compute, memory, power, cooling, and storage subsystems. As HPC infrastructures scale to support increasingly complex workloads-including generative AI-the need for efficient, reliable, and interoperable telemetry analysis becomes critical. Operational Data Analytics (ODA) has emerged to address these demands; however, the reliance on schema-less storage s…

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases
Yash Tiwari, Owais Ahmad Lone, Mayukha Pal
https://arxiv.org/abs/2506.00664

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases
Ontologies are pivotal for structuring knowledge bases to enhance question answering (QA) systems powered by Large Language Models (LLMs). However, traditional ontology creation relies on manual efforts by domain experts, a process that is time intensive, error prone, and impractical for large, dynamic knowledge domains. This paper introduces OntoRAG, an automated pipeline designed to derive ontologies from unstructured knowledge bases, with a focus on electrical relay documents. OntoRAG integr…

Retrieval-Augmented Generation of Ontologies from Relational Databases
Mojtaba Nayyeri, Athish A Yogi, Nadeen Fathallah, Ratan Bahadur Thapa, Hans-Michael Tautenhahn, Anton Schnurpel, Steffen Staab
https://arxiv.org/abs/2506.01232

Retrieval-Augmented Generation of Ontologies from Relational Databases
Transforming relational databases into knowledge graphs with enriched ontologies enhances semantic interoperability and unlocks advanced graph-based learning and reasoning over data. However, previous approaches either demand significant manual effort to derive an ontology from a database schema or produce only a basic ontology. We present RIGOR, Retrieval-augmented Iterative Generation of RDB Ontologies, an LLM-driven approach that turns relational schemas into rich OWL ontologies with minimal…

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives
Yanzi Zhang, Felix Moorhoff, Sizhe Qiu, Wenjuan Dong, David Medina-Ortiz, Jing Zhao, Mehdi D. Davari
https://arxiv.org/abs/2507.07666

Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives
Enzyme mining is rapidly evolving as a data-driven strategy to identify biocatalysts with tailored functions from the vast landscape of uncharacterized proteins. The integration of machine learning into these workflows enables high-throughput prediction of enzyme functions, including Enzyme Commission numbers, Gene Ontology terms, substrate specificity, and key catalytic properties such as kinetic parameters, optimal temperature, pH, solubility, and thermophilicity. This review provides a syste…

Where Photons Have Been: Nowhere Without All Components of Their Wavefunctions
R. E. Kastner
https://arxiv.org/abs/2507.06362 https://

Where Photons Have Been: Nowhere Without All Components of Their Wavefunctions
A nested interferometer experiment by Danan et al (2013) is discussed and some ontological implications explored, primarily in the context of time-symmetric interpretations of quantum theory. It is pointed out that photons are supported by all components of their wavefunctions, not selectively truncated "first order" portions of them, and that figures representing both a gap in the photon's path and signals from the cut-off path are incorrect. It is also noted that the Transactional Formulation…