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dc.contributor.authorMartínez Manzanilla, Anny Gabriela
dc.contributor.authorYannuzzi, Marcelo
dc.contributor.authorSerral Gracià, René
dc.contributor.authorRamirez Almonte, Wilson
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.identifier.citationMartinez, A. [et al.]. Ontology-based information extraction from the configuration command line of network routers. A: International Conference on Mining Intelligence and Knowledge Exploration. "Mining Intelligence and Knowledge Exploration: Second International Conference: MIKE 2014: Cork, Ireland: December 10-12, 2014: proceedings". Cork: Springer, 2014, p. 312-322.
dc.description.abstractKnowledge extraction is increasingly attracting the attention of researchers from different disciplines, as a means to automate complex tasks that rely on bulk textual resources. However, the configuration of many devices in the networking field continues to be a labor intensive task, based on the human interpretation and manual entry of commands through a text-based user interface. Typically, these Command-Line Interfaces (CLIs) are both device and vendor-specific, and thus, commands differ syntactically and semantically for each configuration space. Because of this heterogeneity, CLIs always provide a “help” feature—i.e., short command descriptions encoded in natural language—aimed to unveil the semantics of configuration commands for network administrators. In this paper, we exploit this feature with the aim of automating the abstraction of device configurations in heterogeneous settings. In particular, we introduce an Ontology-Based Information Extraction (OBIE) system from the Command-Line Interface of network routers. We also present ORCONF, a domain Ontology for the Router CONFiguration domain, and introduce a semantic relatedness measure that quantifies the degree of interrelation among candidate concepts. The results obtained over the configuration spaces of two widely used network routers demonstrate that this is a promising line of research, with overall percentages of precision and recall of 93%, and 91%, respectively.
dc.format.extent11 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Bases de dades
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshData mining
dc.subject.lcshRouters (Computer networks)
dc.subject.otherConfiguration Management
dc.subject.otherData Mining
dc.subject.otherKnowledge Discovery
dc.subject.otherOntology-Based Information Extraction
dc.subject.otherSemantic Relatedness
dc.titleOntology-based information extraction from the configuration command line of network routers
dc.typeConference report
dc.subject.lemacMineria de dades
dc.subject.lemacEncaminadors (Xarxes d'ordinadors)
dc.contributor.groupUniversitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorMartinez, A.; Yannuzzi, M.; Serral, R.; Ramirez, W.
local.citation.contributorInternational Conference on Mining Intelligence and Knowledge Exploration
local.citation.publicationNameMining Intelligence and Knowledge Exploration: Second International Conference: MIKE 2014: Cork, Ireland: December 10-12, 2014: proceedings

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