Ontology-Based Platform for Conceptual Guided Dataset Analysis View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Miguel Ángel Rodríguez-García , José Medina-Moreira , Katty Lagos-Ortiz , Harry Luna-Aveiga , Francisco García-Sánchez , Rafael Valencia-García

ABSTRACT

Nowadays organizations should handle a huge amount of both internal and external data from structured, semi-structured, and unstructured sources. This constitutes a major challenge (and also an opportunity) to current Business Intelligence solutions. The complexity and effort required to analyse such plethora of data implies considerable execution times. Besides, the large number of data analysis methods and techniques impede domain experts (laymen from an IT-assisted analytics perspective) to fully exploit their potential, while technology experts lack the business background to get the proper questions. In this work, we present a semantically-boosted platform for assisting layman users in (i) extracting a relevant subdataset from all the data, and (ii) selecting the data analysis technique(s) best suited for scrutinising that subdataset. The outcome is getting better answers in significantly less time. The platform has been evaluated in the music domain with promising results. More... »

PAGES

155-163

Book

TITLE

Distributed Computing and Artificial Intelligence, 13th International Conference

ISBN

978-3-319-40161-4
978-3-319-40162-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-40162-1_17

DOI

http://dx.doi.org/10.1007/978-3-319-40162-1_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038510132


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159 https://www.grid.ac/institutes/grid.442144.3 schema:alternateName Universidad Agraria del Ecuador
160 schema:name Universidad Agraria del Ecuador
161 rdf:type schema:Organization
162 https://www.grid.ac/institutes/grid.442157.1 schema:alternateName University of Guayaquil
163 schema:name Universidad de Guayaquil
164 rdf:type schema:Organization
 




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