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Ontology reasoning, a cornerstone of knowledge representation in computer science, faces escalating complexity as datasets scale and interrelations deepen. The classical algorithms that underpin semantic web, knowledge graphs, and AI reasoning engines are reaching their computational limits. Quantum computing, with its unconventional paradigm, offers a tantalizing prospect: not just a marginal speedup, but a fundamental [...]

Modern SEO is fundamentally entwined with structured data. As conversational AI proliferates, search engines are increasingly reliant on these data structures for context, understanding, and relevance. Yet, many SEO experts overlook a crucial intersection: enriching chatbots not just as user engagement tools, but as intelligent agents capable of leveraging Schema.org vocabularies and persistent ontology memory. [...]

In the evolving landscape of robotics, collaboration among multiple robots—commonly referred to as cobots—has emerged as a cornerstone of modern automation. As these systems grow in complexity and scope, the necessity for a shared understanding, or ontology, becomes paramount. With a common ontology, cobots can move beyond isolated, repetitive tasks and begin to coordinate seamlessly, [...]

In today’s data-driven landscape, enterprises are awash with information. Vast troves of unstructured data—spanning documents, emails, logs, and images—are stored in data lakes, promising transformative insights. Yet, without meaningful structure, this data often remains underutilized, its value obscured by complexity and scale. The Challenge of Unstructured Data Lakes Modern organizations have invested heavily in data [...]

Robots have become integral to various industries, from logistics and manufacturing to healthcare and exploration. A pivotal aspect of intelligent robotic behavior is the capacity to understand, store, and reason about space. The use of triples—structured data in the form of subject-predicate-object—has emerged as a powerful means to represent spatial relationships, enabling robots to generate [...]

In the expanding landscape of knowledge representation, ontologies underpin semantic interoperability, data integration, and AI-driven reasoning. As ontologies grow in size and complexity, the need for efficient storage becomes essential for both practical deployment and further research. This survey examines current methods for ontology compression, with a focus on techniques that minimize storage requirements while [...]