A semantic-based architecture for managing knowledge-intensive organizations: The ARISTOTELE platform

Daniele Toti, Pierluigi Del Nostro, Francesco Orciuoli, Stefano Paolozzi, Pierluigi Ritrovato

Risultato della ricerca: Contributo in libroContributo a convegno

17 Citazioni (Scopus)

Abstract

We present the semantic-based architecture of the ARISTO-TELE platform, which is founded on the definition and development of models, methodologies, technologies and tools to support the emergence of competences and creativity within workers by self-organizing acquisition, processing and sharing of new information inside knowledge-intensi-ve organizations. ARISTOTELE's architecture relies on semantic data by means of a number of conceptual models, which define the context of interest for an enterprise via a set of concepts and relationships among them. Instances of these models are used to annotate content data, thus creating a semantic network of information that actualizes the Linked Data paradigm within the information space of an organization. In this paper we describe the building elements of the ARISTOTELE platform, the conceptual models which lie behind them and the core Linked Data Layer component responsible of managing information for the whole system. © 2013 Springer-Verlag.
Lingua originaleEnglish
Titolo della pubblicazione ospiteLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pagine133-146
Numero di pagine14
Volume7652
DOI
Stato di pubblicazionePubblicato - 2013
EventoCombined Workshops on Web Information Systems Engineering, WISE 2011 and WISE 2012 - Paphos, cyp
Durata: 28 nov 201230 nov 2012

Serie di pubblicazioni

NomeLECTURE NOTES IN COMPUTER SCIENCE

Convegno

ConvegnoCombined Workshops on Web Information Systems Engineering, WISE 2011 and WISE 2012
CittàPaphos, cyp
Periodo28/11/1230/11/12

Keywords

  • Collaboration
  • Human Resource Management
  • Innovation
  • Knowledge Management
  • Knowledge Modeling
  • Learning
  • Semantic Enterprise architecture
  • Semantic Web
  • Training

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