@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00838969v1> a dcat:Dataset ;
    dct:description """
              Nowadays telecommunication systems are growing more and more complex, generating huge amount of alarms that cannot be effectively managed by human operators. The problematic is to detect in real-time significant combinations of alarms that describe an issue. In this article, we present a powerful heuristic algorithm that constructs alarm patterns dependency graphs. More precisely, it is able to highlight patterns extracted from an alarm flow learning process with a small footprint on network management system performance. This algorithm is first relevant to real-time issues detection by effectively delivering their concise alarm patterns. And secondly it allows the proactive analysis of network health by retrieving the general trends of a network. We challenge our algorithm to an optical network alarms data set of an existing operator. We find immediately similar results to the experts analysis performed for this operator by Alcatel-Lucent Customer Services.
            """ ;
    dct:identifier "Report N°: RR-8321" ;
    dct:issued "2026-05-10T13:25:48.561009"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-10T13:25:48.561013"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Alarms correlation in telecommunication networks" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00838969v1/resource/cd43c624-1fdd-4558-b636-60c2aac1a275> ;
    dcat:keyword "alarms-correlation",
        "infoeu-reposemanticsreport",
        "infoinfo-nicomputer-science-csnetworking-and-internet-architecture-csni",
        "management-methods",
        "proactive-systems",
        "reports" ;
    dcat:landingPage <https://inria.hal.science/hal-00838969> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00838969v1/resource/cd43c624-1fdd-4558-b636-60c2aac1a275> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-10T13:25:48.562978"^^xsd:dateTime ;
    dct:modified "2026-05-10T13:25:48.549079"^^xsd:dateTime ;
    dct:title "Alarms correlation in telecommunication networks" ;
    dcat:accessURL <https://inria.hal.science/hal-00838969> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://inria.hal.science/hal-00838969> a foaf:Document .