Content enrichment with expressive document modelling to leverage the understanding of unstructured...
Content enrichment with expressive document modelling to leverage the understanding of unstructured data
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Full title
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Publisher
Les Ulis: EDP Sciences
Journal title
Language
English
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Publication information
Publisher
Les Ulis: EDP Sciences
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Scope and Contents
Contents
Most information in an enterprise is in the form of unstructured data which is usually managed using a document database. One of the key challenges is to define a generalized data model for this unstructured data and any information extracted from it using content enrichment algorithms. It is more challenging to incorporate provenance and temporal...
Alternative Titles
Full title
Content enrichment with expressive document modelling to leverage the understanding of unstructured data
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_496b88308d754117ad7c8c230ca224ee
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_496b88308d754117ad7c8c230ca224ee
Other Identifiers
ISSN
2261-236X,2274-7214
E-ISSN
2261-236X
DOI
10.1051/matecconf/201927702003
