Tootfinder

KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, Gamze Gursoy
https://arxiv.org/abs/2510.05049

KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
Machine learning in healthcare requires effective representation of structured medical codes, but current methods face a trade off: knowledge graph based approaches capture formal relationships but miss real world patterns, while data driven methods learn empirical associations but often overlook structured knowledge in medical terminologies. We present KEEP (Knowledge preserving and Empirically refined Embedding Process), an efficient framework that bridges this gap by combining knowledge grap…

Machine-interpretable Engineering Design Standards for Valve Specification
Anders Gjerver, Rune Frostad, Vedrana Barisic, Melinda Hodkiewicz, Caitlin Woods, Mihaly Fekete, Arild Braathen Torjusen, Johan Wilhelm Kluwer
https://arxiv.org/abs/2510.01736

Machine-interpretable Engineering Design Standards for Valve Specification
Engineering design processes use technical specifications and must comply with standards. Product specifications, product type data sheets, and design standards are still mainly document-centric despite the ambition to digitalize industrial work. In this paper, we demonstrate how to transform information held in engineering design standards into modular, reusable, machine-interpretable ontologies and use the ontologies in quality assurance of the plant design and equipment selection process. We…

SoK: A Systematic Review of Malware Ontologies and Taxonomies and Implications for the Quantum Era
Dehinde Molade, Dave Ormrod, Mamello Thinyane, Nalin Arachchilage, Jill Slay
https://arxiv.org/abs/2509.19650

SoK: A Systematic Review of Malware Ontologies and Taxonomies and Implications for the Quantum Era
The threat of quantum malware is real and a growing security concern that will have catastrophic scientific and technological impacts, if not addressed early. If weaponised or exploited especially by the wrong hands, malware will undermine highly sophisticated critical systems supported by next-generation quantum architectures, for example, in defence, communications, energy, and space. This paper explores the fundamental nature and implications of quantum malware to enable the future developme…

Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
Aleksandr Boldachev
https://arxiv.org/abs/2509.09775 https://arxiv.org/pdf/2…

Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
This paper presents boldsea, Boldachev's semantic-event approach -- an architecture for modeling complex dynamic systems using executable ontologies -- semantic models that act as dynamic structures, directly controlling process execution. We demonstrate that integrating event semantics with a dataflow architecture addresses the limitations of traditional Business Process Management (BPM) systems and object-oriented semantic technologies. The paper presents the formal BSL (boldsea Semantic Lang…

Ontology is shaping up to be the buzzword of 2026 because they are offering what #LLMs are lacking: formal grounding
LLMs offer creativity but need logical grounding. Ontologies provide this formal structure, anchoring meaning and unifying diverse data sources into a single semantic layer. They are essential for achieving precision and are one of the most reliable defense mechanisms against

CFP: AlterPlastics: Histories, Aesthetics, Ontologies
https://ift.tt/pmyUq8P
updated: Tuesday, December 2, 2025 - 8:06pmfull name / name of organization: Andrija…
via Input 4 RELCFP https://…

Semantic Representation of Processes with Ontology Design Patterns
Ebrahim Norouzi, Sven Hertling, J\"org Waitelonis, Harald Sack
https://arxiv.org/abs/2509.23776 https://

Semantic Representation of Processes with Ontology Design Patterns
The representation of workflows and processes is essential in materials science engineering, where experimental and computational reproducibility depend on structured and semantically coherent process models. Although numerous ontologies have been developed for process modeling, they are often complex and challenging to reuse. Ontology Design Patterns (ODPs) offer modular and reusable modeling solutions to recurring problems; however, these patterns are frequently neither explicitly published n…

Crosslisted article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
Aleksandr Boldachev

Bio-KGvec2go: Serving up-to-date Dynamic Biomedical Knowledge Graph Embeddings
Hamid Ahmad, Heiko Paulheim, Rita T. Sousa
https://arxiv.org/abs/2509.07905 https://

Bio-KGvec2go: Serving up-to-date Dynamic Biomedical Knowledge Graph Embeddings
Knowledge graphs and ontologies represent entities and their relationships in a structured way, having gained significance in the development of modern AI applications. Integrating these semantic resources with machine learning models often relies on knowledge graph embedding models to transform graph data into numerical representations. Therefore, pre-trained models for popular knowledge graphs and ontologies are increasingly valuable, as they spare the need to retrain models for different tas…

Replaced article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
Aleksandr Boldachev

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- Automatic Mapping of AutomationML Files to Ontologies for Graph Queries and Validation
Tom Westermann, Malte Ramonat, Johannes Hujer, Felix Gehlhoff, Alexander Fay

RELATE: Relation Extraction in Biomedical Abstracts with LLMs and Ontology Constraints
Olawumi Olasunkanmi, Mathew Satursky, Hong Yi, Chris Bizon, Harlin Lee, Stanley Ahalt
https://arxiv.org/abs/2509.19057

Crosslisted article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Executable Ontologies: Synthesizing Event Semantics with Dataflow Architecture
Aleksandr Boldachev