کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4951350 | 1441243 | 2016 | 7 صفحه PDF | دانلود رایگان |
- Describes the combination of semantic knowledge bases with machine learning.
- Natural language processing application for phishing detection.
- Semantic machine learning improves on existing approaches.
This paper presents meaning-based machine learning, the use of semantically meaningful input data into machine learning systems in order to produce output that is meaningful to a human user where the semantic input comes from the Ontological Semantics Technology theory of natural language processing. How to bridge from knowledge-based natural language processing architectures to traditional machine learning systems is described to include high-level descriptions of the steps taken. These meaning-based machine learning systems are then applied to problems in information assurance and security that remain unsolved and feature large amounts of natural language text.
Journal: Journal of Innovation in Digital Ecosystems - Volume 3, Issue 2, December 2016, Pages 141-147