Publication details

Mining actions from reports on flood



Year of publication 2006
Type Article in Proceedings
Conference Proceedings of IS-LTC'06
MU Faculty or unit

Faculty of Informatics

Field Use of computers, robotics and its application
Keywords text filtering; information extraction; term extraction
Description This paper focuses on mining in short reports that describe a situation in a given area and actions performed as reaction to that situation. Such texts are frequent in crisis management in situations like earthquake, fire or flood. For further analysis it is necessary to filter the relevant pieces of text. We found that common machine learning algo rithms fail for filtering such sentences. We describe a novel method based on inductive logic programming which yields in high precision and recall. This method has been successfully used for analysis of reports on flood in Central Europe in 2002. We also discuss different domain knowledge and also various natural language processing tools that we used for preprocessing the documents.
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