A Survey on Cognitive computing using Semantic Technology

Shah, Vishal and S, Shridevi (2017) A Survey on Cognitive computing using Semantic Technology. EAI Endorsed Transactions on Cloud Systems, 3 (9): e5. ISSN 2410-6895

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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.

Item Type: Article
Uncontrolled Keywords: Enterprise Cognitive Computing (ECC), Semantic Computing, Ontologies, Unstructured Data, Resource Description Framework(RDF), Web Ontology Language(OWL), Natural Language Processing(NLP)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 10 Sep 2020 14:08
Last Modified: 10 Sep 2020 14:08
URI: https://eprints.eudl.eu/id/eprint/203

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