Web Ontology Language
PulseAugur coverage of Web Ontology Language — every cluster mentioning Web Ontology Language across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New framework grounds robot kinematics in semantic ontologies
Researchers have developed URDF2Ontology, a novel neurosymbolic framework designed to bridge the gap between robot kinematics described in URDF files and the semantic context required for symbolic reasoning. This system…
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New ontology SFE-O standardizes AI knowledge for CO2 biomass extraction
Researchers have developed SFE-O, a new ontology using the Web Ontology Language (OWL 2) to standardize knowledge representation for supercritical CO2 biomass extraction. This ontology organizes information across bioma…
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Ontologies in AI: Passing business definitions to LLMs
This article explores the practical application of ontologies in AI, particularly for Large Language Models (LLMs). It argues that LLMs often lack a true understanding of concepts like 'customer,' relying instead on sta…
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OntoInk streamlines ontology documentation with integrated visualization and validation
Researchers have developed OntoInk, an open-source MkDocs plugin designed to streamline the process of ontology documentation, visualization, and validation. This tool integrates these activities into a single documenta…
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New ontology aims to unify crisis management knowledge representation
Researchers have developed the European Crisis Management Ontology (ECMO), a modular OWL-based ontology designed for cross-sectoral crisis management and disaster risk reduction. ECMO-CORE establishes fundamental concep…
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New system uses controlled semantics for LLM knowledge graph queries
Researchers have developed a system called NLKGQ that leverages controlled semantics within an LLM's context window for natural language knowledge graph query execution. This framework uses a formal OWL ontology to tran…
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Neuro-Symbolic AI Combats LLM Hallucinations with Semantic Web Standards
Large Language Models (LLMs) are prone to generating fictional information, a significant risk for enterprise applications. To combat this, a neuro-symbolic AI approach is emerging, which combines LLMs with symbolic kno…
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New framework PIE-APT enables abductive planning over temporal knowledge graphs
Researchers have introduced PIE-APT, a novel framework for abductive planning over Temporal Dynamic Knowledge Graphs (TDKGs). This system operates within open-world environments and addresses challenges like decidabilit…
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GrOIL pipeline automates formal ontology creation using LLMs
Researchers have developed GrOIL, a novel seven-stage pipeline for automatically constructing formal ontologies from domain documents. This system ensures corpus grounding, vocabulary consistency, and expressivity, prod…
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UK, NATO Defense Ontologies Aligned in New Research Paper
This paper details the alignment of three upper ontologies crucial for UK and NATO defense data infrastructure: the Information Exchange Standard (IES), the Higher Quality Data Model (HQDM), and the Basic Formal Ontolog…
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New algorithm simplifies complex OWL class expressions for better reasoning
Researchers have developed a novel algorithm called Class Expression Simplifier (CES) to reduce the complexity of OWL class expressions used in knowledge representation. CES applies theoretically grounded simplification…
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New ontology-supported method improves automotive E/E component validation
Researchers have developed a new method for validating the robustness of automotive electrical/electronic (E/E) components. This approach utilizes an ontology to formalize knowledge from the robustness validation proces…
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Ontology-based approach streamlines automotive component validation
A new paper proposes an ontology-supported method to enhance the robustness validation process for automotive electrical/electronic components. This approach formalizes knowledge from the validation process and mission …
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New method integrates OWL axioms into SHACL constraints for efficient RDF graph validation
Researchers have developed a new method to integrate OWL axioms directly into SHACL constraints, simplifying the process of validating RDF graphs that incorporate OWL ontologies. This approach constructs a translation t…
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KDAI2026 lecture covers Knowledge Graphs, Neurosymbolic AI, and AI limits
The KDAI2026 final lecture focused on Knowledge Graphs and Neurosymbolic AI, exploring topics such as OWL, SHACL, and hybrid AI approaches. The session also revisited the limitations of AI, discussing concepts like the …
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Neurosymbolic framework reconstructs LLM outputs using Combinatory Categorial Grammar
Researchers have proposed a neurosymbolic framework to reconstruct the outputs of large language models (LLMs) into typed compositional derivations using Combinatory Categorial Grammar (CCG). This approach, while not cl…
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New framework uses LLMs for natural language access to domain-specific archives
Researchers have developed a reusable framework called Natural Language Knowledge Graph Query (NLKGQ) that enables users to query domain-specific archives using natural language. The system leverages Large Language Mode…
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NeurOWL framework uses LLMs for incomplete ontology reasoning
Researchers have developed NeurOWL, a novel neuro-symbolic framework designed to address reasoning challenges in incomplete OWL ontologies. This framework integrates Large Language Models (LLMs) and ontology embeddings …
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Apache Jena powers AI-native knowledge bases with semantic reasoning
The author proposes using Apache Jena, a framework for building Semantic Web applications, to create an AI-native knowledge base. This approach aims to imbue AI with human-like incremental learning and reasoning capabil…
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New Zealand FOI process modelling ontology released
Researchers have developed FOI-O, a new ontology and verification framework designed to model and analyze processes related to Freedom of Information (FOI) requests. This system, specifically tailored for New Zealand's …