I-D Action: draft-tailhardat-nmop-incident-management-noria-04.txt

internet-drafts@ietf.org Mon, 09 February 2026 08:39 UTC

MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: 8bit
From: internet-drafts@ietf.org
To: i-d-announce@ietf.org
Subject: I-D Action: draft-tailhardat-nmop-incident-management-noria-04.txt
Auto-Submitted: auto-generated
Precedence: bulk
Message-ID: <177062639532.1002898.15211843766922110675@dt-datatracker-6bcfd44575-g5gjh>
Date: Mon, 09 Feb 2026 00:39:55 -0800
Message-ID-Hash: 7LFGXME3XVTJ6KIRSFRGMLNZRDQHZN2N
Reply-To: internet-drafts@ietf.org
Archived-At: <https://mailarchive.ietf.org/arch/msg/i-d-announce/FPu_s3gvby2I2bjAa9ZF9EtCQmg>

Internet-Draft draft-tailhardat-nmop-incident-management-noria-04.txt is now
available.

   Title:   Knowledge Graphs for Enhanced Cross-Operator Incident Management and Network Design
   Authors: Lionel Tailhardat
            Raphaël Troncy
            Yoan Chabot
            Fano Ramparany
            Pauline Folz
            Bernard Kavanagh
   Name:    draft-tailhardat-nmop-incident-management-noria-04.txt
   Pages:   45
   Dates:   2026-02-09

Abstract:

   Operational efficiency in incident management in networking requires
   correlating and interpreting large volumes of heterogeneous technical
   information.  Knowledge Graphs (KG) can provide a unified view of
   complex systems through shared vocabularies.  YANG data models enable
   describing network configurations and automating their deployment.
   However, both approaches face challenges in vocabulary alignment and
   adoption, hindering knowledge capitalization and sharing on network
   designs and best practices.  To address this, the concept of a IT
   Service Management Knowledge Graph (ITSM-KG) is introduced to
   leverage existing network infrastructure descriptions in YANG format
   and enable abstract reasoning on network behaviors.  The key
   principle to achieve the construction of such ITSM-KG is to transform
   YANG representations of network infrastructures into an equivalent
   knowledge graph representation, and then embed it into a more
   extensive data model for Anomaly Detection (AD) and Risk Management
   applications.

   In addition to use case analysis and design pattern analysis, an
   experiment is proposed to assess the potential of the ITSM-KG in
   improving network quality and designs.

The IETF datatracker status page for this Internet-Draft is:
https://datatracker.ietf.org/doc/draft-tailhardat-nmop-incident-management-noria/

There is also an HTML version available at:
https://www.ietf.org/archive/id/draft-tailhardat-nmop-incident-management-noria-04.html

A diff from the previous version is available at:
https://author-tools.ietf.org/iddiff?url2=draft-tailhardat-nmop-incident-management-noria-04

Internet-Drafts are also available by rsync at:
rsync.ietf.org::internet-drafts

I-D Action: draft-tailhardat-nmop-incident-manage… internet-drafts