Research Article
A Survey on Cognitive computing using Semantic Technology
@ARTICLE{10.4108/eai.28-6-2017.154389, author={Vishal Shah and Shridevi S}, title={A Survey on Cognitive computing using Semantic Technology}, journal={EAI Endorsed Transactions on Cloud Systems}, volume={3}, number={9}, publisher={EAI}, journal_a={CS}, year={2017}, month={6}, keywords={Enterprise Cognitive Computing (ECC), Semantic Computing, Ontologies, Unstructured Data, Resource Description Framework(RDF), Web Ontology Language(OWL), Natural Language Processing(NLP)}, doi={10.4108/eai.28-6-2017.154389} }- Vishal Shah
Shridevi S
Year: 2017
A Survey on Cognitive computing using Semantic Technology
CS
EAI
DOI: 10.4108/eai.28-6-2017.154389
Abstract
The sheer volume of data being generated by the resources is creating a form of cognitive overload for enterprises. The data will be useful to multiple processes in enterprises. Learning and understanding natural language for each process increases computer work in the organization. Enterprise Cognitive Computing (ECC) with the help of Semantic Technology generates structured and organized data for accurate decision making in enterprises. For developing ECC system there are many implementation challenges that need to resolve. ECC comprises Machine Learning, Artificial Intelligence and Question Answering machine that uses natural language processing technologies. These emerging technologies need to customize or combined with complementary solutions as semantic knowledge graphs, depending on the use case. This paper addresses problems of Enterprises that use unstructured data and how this problem can be resolved using semantic technology tools.
Copyright © 2017 Vishal Shah and Shridevi S., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
