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Managing corporate memory on the semantic web

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Abstract

Corporate memory (CM) is the total body of data, information and knowledge required to deliver the strategic aims and objectives of an organization. In the current market, the rapidly increasing volume of unstructured documents in the enterprises has brought the challenge of building an autonomic framework to acquire, represent, learn and maintain CM, and efficiently reason from it to aid in knowledge discovery and reuse. The concept of semantic web is being introduced in the enterprises to structure information in a machine readable way and enhance the understandability of the disparate information. Due to the continual popularity of the semantic web, this paper develops a framework for CM management on the semantic web. The proposed approach gleans information from the documents, converts into a semantic web resource using resource description framework (RDF) and RDF Schema and then identifies relations among them using latent semantic analysis technique. The efficacy of the proposed approach is demonstrated through empirical experiments conducted on two case studies.

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Notes

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  2. http://verbs.colorado.edu/~mpalmer/projects/verbnet.html

  3. http://math.nist.gov/javanumerics/jama/

  4. http://www.mathworks.com/products/matlab/

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Authors and Affiliations

  1. Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Leicestershire, United Kingdom

    Nitesh Khilwani & J. A. Harding

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  1. Nitesh Khilwani
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  2. J. A. Harding
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Correspondence to J. A. Harding.

Appendix

Appendix

An RDF file generated for the text mentioned in Figs. 6 and 7.

figure a
figure b

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Khilwani, N., Harding, J.A. Managing corporate memory on the semantic web. J Intell Manuf 27, 101–118 (2016). https://doi.org/10.1007/s10845-013-0865-4

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