Title:	SEMANTIC WEB APPROACHES FOR BIG DATA INTEGRATION
Author(s):	Danilo Hasse, Fernando A. Ostuni Gauthier, Carlos Roberto De Rolt and Gisiela Hasse Klein2
ISBN:	978-989-8533-75-3
Editors:	Piet Kommers and Pedro Isaías
Year:	2018
Edition:	Single
Keywords:	Big Data, Semantic Web, Ontologies, Data Integration, NoSQL, OBDI
Type:	Short Paper
First Page:	347
Last Page:	352
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Nowadays modern enterprises have to face the problem of handing and sharing huge amount of data, expressed in different incompatible formats and also scattered in distributed sources, aiming at improving the quality and effectiveness of their processes. These requirements are becoming more and more relevant to meet the new challenges posed by massive spread of Big Data, mobile technologies and Internet of Things (IoT). Under these conditions, as the information exchanges are complex, it is necessary to adopt a new model of collaboration between the various involved sources, regardless of the platform on which they run. Among the methodologies designed to solve these incompatibilities, semantic interoperability represents a consolidated conceptual paradigm for joining heterogeneous distributed data sources into a synergistic view. The advantage of Ontology-based Big Data Integration based on semantic technologies is enabling enterprises to integrate and manage data with a high degree of automation and make decisions during the integration process. This paper investigates these issues related to the semantic web as a key component for data integration over different data models because the characteristics of semantic technologies in creating and representing complex information and relationships between concepts can help to interpret information by identifying the corresponding context. The challenges of Big Data management continue growing currently and require innumerable efforts to solve the interoperability across a diversity of data types, platforms and patterns of systems as well as the exponential demand of society for new applications, quality of services and velocity of information.
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