  One of the first task of an innovative project is delineating the scope of
the project itself or of the product/service to be developed. A wrong scope
definition can determine (in the worst case) project failure. A good scope
definition become even more relevant in technological intensive innovation
projects, nowadays characterized by a highly dynamic multidisciplinary,
turbulent and uncertain environment. In these cases, the boundaries of the
project are not easily detectable and it is difficult to decide what it is
in-scope and out-of-scope. The present work proposes a tool for the scope
delineation process, that automatically define an innovative technological
field or a new technology. The tool is based on Text Mining algorithm that
exploits Elsevier's Scopus abstracts in order to the extract relevant data to
define a technological scope. The automatic definition tool is then applied on
four case studies: Artificial Intelligence and Data Science. The results show
how the tool can provide many crucial information in the definition process of
a technological field. In particular for the target technological field (or
technology), it provides the definition and other elements related to the
target.

Information Retrieval;Machine Learning