This document explains why and how semantic metadata annotation helps
to test, validate and compare Outlier and Symptom detection, supports
supervised and semi-supervised machine learning development, enables
data exchange among network operators, vendors and academia and make
anomalies for humans apprehensible. The proposed semantics uniforms
the network anomaly data exchange between and among operators and
vendors to improve their Service Disruption Detection Systems.
2025-05-07T13:50:49Z/api/v1/group/group/2408/131965draft-netana-nmop-network-anomaly-semantics20/api/v1/doc/document/draft-netana-nmop-network-anomaly-semantics/04/api/v1/doc/state/4//api/v1/doc/state/150//api/v1/doc/state/36//api/v1/name/streamname/ietf//api/v1/submit/submission/139516//api/v1/submit/submission/141286//api/v1/submit/submission/144093//api/v1/submit/submission/146640//api/v1/submit/submission/147169/Semantic Metadata Annotation for Network Anomaly Detection/api/v1/name/doctypename/draft/