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Management of SME's Semi Structured Data Using Semantic Technique

Management of SME's Semi Structured Data Using Semantic Technique

Saravjeet Singh, Jaiteg Singh
Copyright: © 2017 |Pages: 32
ISBN13: 9781522508861|ISBN10: 1522508864|EISBN13: 9781522508878
DOI: 10.4018/978-1-5225-0886-1.ch007
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MLA

Singh, Saravjeet, and Jaiteg Singh. "Management of SME's Semi Structured Data Using Semantic Technique." Applied Big Data Analytics in Operations Management, edited by Manish Kumar, IGI Global, 2017, pp. 133-164. https://doi.org/10.4018/978-1-5225-0886-1.ch007

APA

Singh, S. & Singh, J. (2017). Management of SME's Semi Structured Data Using Semantic Technique. In M. Kumar (Ed.), Applied Big Data Analytics in Operations Management (pp. 133-164). IGI Global. https://doi.org/10.4018/978-1-5225-0886-1.ch007

Chicago

Singh, Saravjeet, and Jaiteg Singh. "Management of SME's Semi Structured Data Using Semantic Technique." In Applied Big Data Analytics in Operations Management, edited by Manish Kumar, 133-164. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0886-1.ch007

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Abstract

Management of data for an organization is crucial task but when data goes to its complex form then it becomes multifaceted as well as vital. In today era most of the organizations generating semi structured or unstructured data that requires special techniques to handle and manage. With the needs to handle unstructured data, semantic web technology provides a way to come up with the effective solution. In this chapter Synthetic Semantic Data Management (SSDM) is explained that is based semantic web technique and will helps to manage data of small and Midsized Enterprise (SME). SSDM provide the procedure to handle, store, manages and retrieval of semi structured data.

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