Web Ontology Language
PulseAugur coverage of Web Ontology Language — every cluster mentioning Web Ontology Language across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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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 …
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Agent memory needs ontologies, but teams often confuse two distinct types
Building agent memory systems requires careful consideration of ontologies, which can be approached in two distinct ways. The first, ontology-as-extraction-schema, involves using constrained vocabularies within prompts …
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Owl alpha AI model released for free on OpenRouter
Owl alpha, a new AI model, has been released and is available for free on OpenRouter. The release includes a YouTube tutorial demonstrating its capabilities.
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New framework enables fuzzy quantification over ontologies and knowledge graphs
Researchers have developed a new framework for fuzzy quantification queries over ontologies and knowledge graphs, supporting both standard and fuzzy versions. This system is designed to retrieve individuals that meet cr…
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New AgenticRei Framework Enhances AI Governance with Deontic Policies
Researchers have introduced AgenticRei, a new framework designed to provide robust runtime governance for autonomous agentic AI systems. This system addresses limitations in current policy engines like XACML, Rego, and …