Gian Piero Zarri

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Gian Piero Zarri's book summarizes more than a decade of his research on knowledge representation for narrative text. The centerpiece of Zarri's work is the Narrative Knowledge Representation Language (NKRL), which he describes and compares to other competing theories. In addition, he discusses how to model the meaning of narrative text by giving many(More)
This paper outlines the result of the discussions that took place at the Ninth Knowledge Acquisition Workshop in Banff, Canada, in February 1995 (KAW'95). The authors attempt to summarise the current efforts in using the Conceptual Graphs (CGs) for knowledge acquisition and modelling expertise. The work on CGKAT, [KADS]->(ON)->[CG], CG-DESIRE, and MODEL-ECS(More)
Strategic decision making, especially in the areas of business intelligence and competitive intelligence, requires the acquisition of decision-relevant information pieces like market trends, fusions and company values. This information is extracted by pre-processing and querying multiple sources, combining and condensing the findings. It is characteristic(More)
In this paper, we present a methodology for the construction and use of corporate knowledge repositories. We consider here only the "textual component" of corporate knowledge-i.e., all sort of economically valuable, natural language (NL) documents like news stories, telex reports, internal documentation, normative texts, intelligence messages, etc. In this(More)