Romano, Sara (2013) Semantic-based Knowledge Management and Document Processing in the e-Health domain. [Tesi di dottorato]


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Item Type: Tesi di dottorato
Resource language: English
Title: Semantic-based Knowledge Management and Document Processing in the e-Health domain
Date: 2 April 2013
Number of Pages: 107
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 25
Coordinatore del Corso di dottorato:
Date: 2 April 2013
Number of Pages: 107
Keywords: knowledge management; e-Health
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 - Sistemi di elaborazione delle informazioni
Aree tematiche (7° programma Quadro): TECNOLOGIE DELL'INFORMAZIONE E DELLA COMUNICAZIONE > Macchine "più intelligenti", servizi migliori
Date Deposited: 09 Apr 2013 09:03
Last Modified: 04 Dec 2014 08:25
DOI: 10.6092/UNINA/FEDOA/9392

Collection description

Nowadays efficient knowledge management, organization and sharing has become a critical success factor. Due to the ease of data production within the Internet era, knowledge workers are increasingly overwhelmed by information from a bewildering array of information sources: emails, intranets, the web, social networks, etc. and yet still find it hard to access the specific information required for the task at hand. This implies that knowledge worker productivity is reduced and that organizations may be making decisions on the basis of incomplete knowledge.Social networking forms an important part of online activities of Web users and thus represent an information source able to provide useful information in real time. In recent years, Twitter, a microblogging service, has received much attention in research communities interest as a social medium for communicating with others and reporting news events.Thus in many contexts, as medical, juridical and humanistic ones, advanced knowledge management methodologies are needed to deal with the huge amount and heterogeneity of data. In recent years several applications raised in order to support operators, working within different sectors, across the life cycle of a digital document. What makes these instruments often unproductive is the fact that they were born to support the traditional, manual documentation process mainly based on the massive use of paper but, given the many technological and regulatory constraints, they can not completely replace the traditional paper process. For this purpose, the research activity I done in this work is aimed to investigate and propose knowledge management methodologies and techniques, mainly focused on the issues of information extraction, data mining and semantic document processing applied to heterogeneous and unstructured data.


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