Paper Info
Title
Creating Intelligent Business Systems by Utilising Big Data and Semantics
Abstract
Increasing volumes of data are generated from a variety of industries, organizations and people. Such data is now seen as a key business asset, since analysing it allows business decision makers to make choices with confidence. This data is often “big data” - a data of such volume, velocity and variety that conventional processing techniques are not suitable. We research the specific challenge of variety, where data comprises a number of incompatible formats. Semantic technology, or the use of ontologies, is seen as a core approach to resolving this challenge and aligning the data generated from heterogeneous data sources. This paper lays down the issues which should be addressed and reviews the work which has been done in the area of integrating structured and unstructured data sources, with a special focus on the financial domain. We then chart a research plan in the area following Design Science research.
Year
DOI
Venue
2017
10.1109/CBI.2017.71
2017 IEEE 19th Conference on Business Informatics (CBI)
Keywords
Field
DocType
Big Data, data integration, Big Data analytics, semantic web, Ontology, business intelligence system
Data integration,Data science,Business system planning,Semantic technology,Computer science,Knowledge management,Semantic Web,Unstructured data,Design science research,Business intelligence,Big data
Conference
Volume
ISSN
ISBN
02
2378-1963
978-1-5386-3036-5
Citations 
PageRank 
References 
0
0.34
16
Authors
2
Name
Order
Citations
PageRank
Qudamah Quboa101.35
Nikolay Mehandjiev272769.14