Laurent Issertial

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Deal with Call for Paper (CFP) is a time consuming task, find if a conference suit to your requirement, check deadlines, specifications, etc... In order to improve this matter, this paper proposes a web-based system to automatically extract useful data from CFP emails using six different text mining methods and organizes them in an ontology model which(More)
This paper proposes a method to visualize relations and keywords of two Call For Paper (CFP) datasets for comparison or trend research. Based on our previous works on information extraction from CFP files and trend visualization system (FACT-Graph), this paper describes the contribution and usefulness of the different methods of data input into the(More)
This paper proposes the idea of a Call For Paper Manager aim at scientist in Computer Science field. The main purpose of this system is to simplify the gathering and browsing of Call For Paper. From this perspective, we introduce our structured data database from extraction of relevant data in Call For Paper via rule-based text mining algorithms and(More)
This paper proposes a system called CFP Manager specialized on IT field and designed to ease the process of searching conference suitable to one’s need. At present, the handling of CFP faces two problems: for emails, the huge quantity of CFP received can be easily skimmed through. For websites, the reviewing of some of the main CFP aggregators available(More)
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