Abstract
A large amount of information available on the Internet makes it difficult to identify the most significant or interesting (for a given user) facts and relations between them. It especially concerns the content of information portals, e.g. provided by popular newspapers and magazines.
A pilot version of the software environment for aggregating such information and extracting interesting topics and relationships between them for the user is proposed. Techniques of multi-agent approach, data mining and complex network analysis are used. Evaluation is done by analysing a set of press notes made available by the world’s most popular magazines and contents provided by Polish information portals.
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Koźlak, J., Żabińska, M., Demazeau, Y. (2018). Environment for Identification of Significant Subjects on Information Portals. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_16
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