Transactions on Machine Learning and Data Mining (ISSN: 1865-6781)
Volume 11 - Number 2 - October 2018 - Pages 43-62
An Automatic Intelligent System for Document Processing and Fruition
Stefano Ferilli
University of Bari, Italy
Abstract
With the increasing number of documents available on-line, the need for intelli-gent digital libraries, that allow to automatize the document processing tasks and to suitably organize and make available the documents so as to provide personal-ized and focused access, becomes more and more pressing. This paper proposes an integrated system that merges intelligent modules covering all the phases in-volved in a document lifecycle, from acquisition, to processing, to information extraction, to personalized fruition for final users. The role and possible coopera-tion of Machine Learning and Data Mining techniques in the system is highlight-ed and discussed, along with their importance to provide effective support to both the building and the fruition of the Digital Library and the underlying knowledge base.
Keywords:Document Processing; Digital Libraries; Natural Language Processing; Infor-mation Extraction; Information Retrieval; Knowledge graphs
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