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dc.contributor.authorNovi, Daniele
dc.date.accessioned2014-07-08T11:03:41Z
dc.date.available2014-07-08T11:03:41Z
dc.date.issued2014-05-02
dc.identifier.urihttp://hdl.handle.net/10556/1466
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-309
dc.description2012 - 2013en_US
dc.description.abstractThe research work addresses mainly issues related to the adoption of models, methodologies and knowledge management tools that implement a pervasive use of the latest technologies in the area of Semantic Web for the improvement of business processes and Enterprise 2.0 applications. The first phase of the research has focused on the study and analysis of the state of the art and the problems of Knowledge Discovery database, paying more attention to the data mining systems. The most innovative approaches which were investigated for the "Enterprise Knowledge Engineering" are listed below. In detail, the problems analyzed are those relating to architectural aspects and the integration of Legacy Systems (or not). The contribution of research that is intended to give, consists in the identification and definition of a uniform and general model, a "Knowledge Enterprise Model", the original model with respect to the canonical approaches of enterprise architecture (for example with respect to the Object Management - OMG - standard). The introduction of the tools and principles of Enterprise 2.0 in the company have been investigated and, simultaneously, Semantic Enterprise based appropriate solutions have been defined to the problem of fragmentation of information and improvement of the process of knowledge discovery and functional knowledge sharing. All studies and analysis are finalized and validated by defining a methodology and related software tools to support, for the improvement of processes related to the life cycles of best practices across the enterprise. Collaborative tools, knowledge modeling, algorithms, knowledge discovery and extraction are applied synergistically to support these processes. [edited by author]en_US
dc.language.isoenen_US
dc.publisherUniversita degli studi di Salernoen_US
dc.subjectKnowledge extractionen_US
dc.subjectOntology extractionen_US
dc.subjectOntologyen_US
dc.subjectOWLen_US
dc.subjectFuzzy relational concept analysisen_US
dc.subjectFuzzy formal concept analysisen_US
dc.subjectSemantic weben_US
dc.subjectBest practiceen_US
dc.subjectInformation retrievalen_US
dc.subjectAutomotiveen_US
dc.titleKnowledge management and Discovery for advanced Enterprise Knowledge Engineeringen_US
dc.typeDoctoral Thesisen_US
dc.subject.miurING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONIen_US
dc.contributor.coordinatorePersiano, Giuseppeen_US
dc.description.cicloXII n.s.en_US
dc.contributor.tutorGaeta, Matteoen_US
dc.identifier.DipartimentoInformaticaen_US
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