Emilien Bondu, N. Chaignaud, Jean-Philippe Kotowicz, H. Abdulrab
{"title":"A Support System for the Capitalization and the Exploitation of Expert Knowledge","authors":"Emilien Bondu, N. Chaignaud, Jean-Philippe Kotowicz, H. Abdulrab","doi":"10.1109/ICTAI.2014.40","DOIUrl":null,"url":null,"abstract":"This article describes some tools to improve the foresight process and help the watchers to identify interesting information, in order to detect early warnings on threats or opportunities in open sources. A formal model of scenario is proposed to represent the expert knowledge about the potential situations in the environment and their links. The ontology Scenari Onto allows the scenario exploitation to collect interesting documents on the Web and presents them to the watchers for a manual analysis. A Graphic User Interface (GUI) component has been developed to build scenarios graphically. To exploit the capitalized knowledge, WebLab services have been developed. Finally, an experimentation has been set up to evaluate the system, showing encouraging results.","PeriodicalId":142794,"journal":{"name":"2014 IEEE 26th International Conference on Tools with Artificial Intelligence","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 26th International Conference on Tools with Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTAI.2014.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article describes some tools to improve the foresight process and help the watchers to identify interesting information, in order to detect early warnings on threats or opportunities in open sources. A formal model of scenario is proposed to represent the expert knowledge about the potential situations in the environment and their links. The ontology Scenari Onto allows the scenario exploitation to collect interesting documents on the Web and presents them to the watchers for a manual analysis. A Graphic User Interface (GUI) component has been developed to build scenarios graphically. To exploit the capitalized knowledge, WebLab services have been developed. Finally, an experimentation has been set up to evaluate the system, showing encouraging results.