Scenario development without probabilities — focusing on the most important scenario

Focusing on Scenario Recognition in Information Extraction

This paper reports a research effort in Information Extraction, especially in template pattern matching. Our approach uses reach domain knowledge in the football (soccer) area and logical form representation for necessary inferences of facts and templates filling. Our system FRET (Football Reports Extraction Templates) is compatible to the language-engineering environment GATE and handles its i...

Focusing on Scenario Recognition in Infomation Extraction

This paper reports a research effort in Information Extraction, especially in template pattern matching. Our approach uses reach domain knowledge in the football (soccer) area and logical form representation for necessary inferences of facts and templates filling. Our system FRET' (Football Reports Extraction Templates) is compatible to the language-engineering environment GATE and handles its ...

Scenario Planning and Collection Development

A Methodology for Scenario Development

The pervasive use of scenarios in the development of computer systems and software has motivated the need of formalisms for the description and manipulation of scenarios. In this paper we propose a scenario–based methodology to support requirements engineering. This methodology enables to exploit the emerging XML technologies in order to offer powerful ways to create, maintain, distribute and u...

Scenario Generation with Differential Scenario

A generation method of scenarios using differential information between normal scenarios is presented. Behaviours of normal scenarios belonging to the same problem domain are quite similar. We derive the differential information between them and apply the information to generate new alternative/exceptional scenarios. Our method will be illustrated with examples. This paper describes (1) a langu...