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Nov 21, 2024 · We present an architecture for data semantics discovery capable of extracting semantically-rich content from human-readable files without ...
May 14, 2015 · We present an architecture for data semantics discovery capable of extracting semantically-rich content from human-readable files without ...
We present a software architecture for data semantics discovery, capable of extracting semantically-rich content from human-readable files without prior.
Nov 21, 2013 · We present an architecture for data semantics discovery ca- pable of extracting semantically-rich content from human-readable files without ...
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Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
Ontology enables semantic interoperability, making it highly valuable for cyber threat hunting. Community-driven frameworks like. MITRE ATT&CK, D3FEND, ENGAGE, ...
May 11, 2023 · • Facilitating a multidisciplinary approach through semantically data ... discovery of cyber threats based on ontologies and semantic reasoning.
By utilizing semantic technologies, the CVO aims to provide a comprehensive and standardized representation of vulnerabilities, thereby enhancing communication, ...
DNV's ontology-based search tool is an innovative solution that automatically extracts valuable data from many different sources and file types.
Ontology-Driven Data Semantics Discovery for Cyber-Security. (2015). K.D. Bollacker et al. Freebase: A Shared Database of Structured General Human Knowledge.