Identifying Synonymous Terms in Preparation for Technology Mining

In this research, the development of a `concept-clumping algorithm\u27 designed to improve the clustering of technical concepts is demonstrated . The algorithm developed first identifies a list of technically relevant noun phrases from a cleaned extracted list and then applies a rule-based algorithm for identifying synonymous terms based on shared words in each term. An assessment of the algorithm found that the algorithm has an 89—91% precision rate, was successful in moving technically important terms higher in the term frequency list, and improved the technical specificity of term clusters

Functional Analysis: Deriving Systems Knowledge From Bibliographic Information Resources

Analyses of particular technology developments provide vital managerial intelligence. Framing of such analyses is key to maximize their managerial value. This paper presents a case analysis of automotive fuel efficiency technologies, posed as a functional analysis, rather than as a technology analysis. This functional perspective provides a systems frame of reference, yielding enhanced managerial knowledge. The case illustrates the use of bibliometric methods to glean systems intelligence from large abstract databases

Functional Analysis: Deriving Systems Knowledge From Bibliographic Information Resources

Analyses of particular technology developments provide vital managerial intelligence. Framing of such analyses is key to maximize their managerial value. This paper presents a case analysis of automotive fuel efficiency technologies, posed as a functional analysis, rather than as a technology analysis. This functional perspective provides a systems frame of reference, yielding enhanced managerial knowledge. The case illustrates the use of bibliometric methods to glean systems intelligence from large abstract databases