loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Eleni Fotopoulou 1 ; Panagiotis Hasapis 1 ; Anastasios Zafeiropoulos 1 ; Dimitris Papaspyros 2 ; Spiros Mouzakitis 2 and Norma Zanetti 3

Affiliations: 1 Ubitech Ltd., Greece ; 2 School of Electrical and Computer Engineering and National Technical University of Athens, Greece ; 3 Hyperborea Srl., Greece

ISBN: 978-989-758-103-8

Keyword(s): Linked Data, Open Data, Business Analytics, Data Mining, Ontology.

Related Ontology Subjects/Areas/Topics: Architectural Concepts ; Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Analytics ; Data Engineering ; Data Management and Quality ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Open Data ; Semi-Structured and Unstructured Data ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

Abstract: The majority of enterprises are in the process of recognizing that business data analytics have the potential to transform their daily operations and make them extremely effective at addressing business challenges, identifying new market trends and embracing new ways to engage customers. Such analytics are in most cases related with the processing of data coming from various data sources that include structured and unstructured data. In order to get insight through the analysis results, appropriate input has to be provided that in many cases has to combine data from cross-sectorial and heterogeneous public or private data sources. Thus, there is inherent a need for applying novel techniques in order to harvest complex and heterogeneous datasets, turn them into insights and make decisions. In this paper, we present an approach for the production of added-value business analytics through the consumption of interlinked versions of data and the exploitation of linked data principles. Such interlinked data constitute valuable input for the initiation of an analytics extraction process and can lead to the realization of analysis that was not envisaged in the past. In addition to the production of analytics based on the consumption of linked data, the proposed approach supports the interlinking of the produced results with the associated input data, increasing in this way the value of the produced data and making them discoverable for further use in the future. The designed business analytics and data mining component is described in detail, along with an indicative application scenario combining data from the governmental, societal and health sectors. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.80.4.76

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Fotopoulou, E.; Hasapis, P.; Zafeiropoulos, A.; Papaspyros, D.; Mouzakitis, S. and Zanetti, N. (2015). Exploiting Linked Data Towards the Production of Added-Value Business Analytics and Vice-versa.In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-103-8, pages 69-80. DOI: 10.5220/0005508700690080

@conference{data15,
author={Eleni Fotopoulou. and Panagiotis Hasapis. and Anastasios Zafeiropoulos. and Dimitris Papaspyros. and Spiros Mouzakitis. and Norma Zanetti.},
title={Exploiting Linked Data Towards the Production of Added-Value Business Analytics and Vice-versa},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2015},
pages={69-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005508700690080},
isbn={978-989-758-103-8},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Exploiting Linked Data Towards the Production of Added-Value Business Analytics and Vice-versa
SN - 978-989-758-103-8
AU - Fotopoulou, E.
AU - Hasapis, P.
AU - Zafeiropoulos, A.
AU - Papaspyros, D.
AU - Mouzakitis, S.
AU - Zanetti, N.
PY - 2015
SP - 69
EP - 80
DO - 10.5220/0005508700690080

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.