<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.marcas-nmop-knowledge-graph-yang" target="https://datatracker.ietf.org/doc/html/draft-marcas-nmop-knowledge-graph-yang-00">
   <front>
      <title>Knowledge Graphs for YANG-based Network Management</title>
      <author initials="I. D." surname="Martinez-Casanueva" fullname="Ignacio Dominguez Martinez-Casanueva">
         <organization>Telefonica Innovacion Digital</organization>
      </author>
      <date month="May" day="7" year="2024" />
      <abstract>
	 <t>   The success of the YANG language and YANG-based protocols for
   managing the network has unlocked new opportunities in network
   analytics.  However, the wide heterogeneity of YANG models hinders
   the consumption and analysis of network data.  Besides, data encoding
   formats and transport protocols will differ depending on the network
   management protocol supported by the network device.  These
   challenges call for new data management paradigms that facilitate the
   discovery, understanding, integration and access to silos of
   heterogenous YANG data, abstracting from the complexities of the
   network devices.

   This document introduces the knowledge graph paradigm has a solution
   to this data management problem, with focus on YANG-based network
   management.  The document provides background on related topics such
   as ontologies and graph standards, and shares guidelines for
   implementing knowledge graphs from YANG data.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-marcas-nmop-knowledge-graph-yang-00" />
   
</reference>
