In the last decades the explosion of ICT has opened up new avenues regarding peoples' accessibility to new job opportunities. Current technological advances in conjunction with people's online presence provide a great opportunity to automate the recruitment process and make it more effective. In this paper, we propose a novel approach for improving the efficiency of e-recruitment systems. Our approach relies on the linguistic analysis of data available for job applicants, in order to infer the applicants' personality traits and rank them accordingly. To showcase the functionality of our method, we employed it in a web based e-recruitment system that we implemented.
The current study presents an adaptable light game engine, which is used to produce interactive educational settings focused on cultural heritage. The tool is implemented using inexpensive and open source technologies. In this paper we first discuss the architecture of the application and we then present two games developed by using the proposed engine. The produced games are multi-user and support the collaboration and communication among learners and among learners and instructors. Learners earn marks, badges and certificates as they study the material and complete the quizzes. Various evaluation experiments have been realized to understand the suitability of the produced content in educational activities. The evaluation results of the authentic educational actions were quite positive and supportive by both students and teachers.
Abstract. In this paper we present a novel approach for building a focused crawler.The goal of our crawler is to effectively identify web pages that relate to a set of predefined topics and download them regardless of their web topology or connectivity with other popular pages on the web. The main challenges that we address in our study concern the following. First we need to be able to effectively identify the pages' topical content before these are fully downloaded and processed. Thereafter, we need to obtain a well-balanced set of training examples that the crawler will regularly consult in its subsequent web visits.
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