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Semantic Association Systems for Product Data Integration in the Socio-Sphere

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Product Development in the Socio-sphere

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Abstract

The Internet, Web, and Globalization are inducing new product development paradigms such as crowd sourcing, mass collaboration, and open innovation. Engineering, design, and manufacturing organizations who adopt these paradigms will need to address the product data integration problem because complex product data will be associated with these emerging product development paradigms in the socio-sphere. In particular, product data will be dispersed globally and will be encoded in many different formats. Moreover, mechanical, electrical, and software data for complex products are currently handled in separate product data management systems with no automated sharing of data between them or links between their data. This is a significant drawback with regard to supporting collaborative and integrated product design. Unfortunately, this drawback will become worse for platforms seeking to utilize product design in the socio-sphere. Consequently, advances in product data management will be needed in order for companies to fully realize the benefit of adopting such socio-sphere product development platforms. Semantic computing is one technological family well suited to solve a variety of the challenges associated with product development in the socio-sphere. As such, this chapter presents a theory of semantic association systems along with a description of its application to product data integration in the socio-sphere.

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  1. Research and Development Department, Tripwire, Inc., 30009, Alpharetta, GA, United States

    J. Lane Thames

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  1. J. Lane Thames
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Correspondence to J. Lane Thames .

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  1. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA

    Dirk Schaefer

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Lane Thames, J. (2014). Semantic Association Systems for Product Data Integration in the Socio-Sphere. In: Schaefer, D. (eds) Product Development in the Socio-sphere. Springer, Cham. https://doi.org/10.1007/978-3-319-07404-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-07404-7_3

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