We present a novel approach for pragmatic ambiguity
detection in natural language (NL) requirements specifications defined
for a specific application domain. Starting from a requirements
specification, we use a Web-search engine to retrieve a set of
documents focused on the same domain of the specification. From these
domain-related documents, we extract different knowledge graphs, which
are employed to analyse each requirement sentence looking for
potential ambiguities. To this end, an algorithm has been developed
that takes the concepts expressed in the sentence and searches for
corresponding "concept paths" within each graph. The paths resulting
from the traversal of each graph are compared and, if their overall
similarity score is lower than a given threshold, the requirements
specification sentence is considered ambiguous from the pragmatic
point of view. A proof of concept is given throughout the presentation
to illustrate the soundness of the proposed strategy.
NOTE: This seminar is the fourth one of the series of six seminars
presented by the winners of the prize "Young researchers ISTI 2013".
Alessio Ferrari placed first in the Young researcher category.
