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https://hdl.handle.net/20.500.14279/15017
Τίτλος: | Evolvable Media Repositories: An Evolutionary System to Retrieve and Ever-Renovate Related Media Web Content | Συγγραφείς: | Koutsomichalis, Marinos Gambäck, Björn |
Major Field of Science: | Engineering and Technology | Field Category: | Computer and Information Sciences | Λέξεις-κλειδιά: | Genetic algorithms;Database management;Multimedia information systems;Natural language processing | Ημερομηνία Έκδοσης: | Ιου-2019 | Πηγή: | Intelligent Computing Proceedings of the 2019 Computing Conference, Volume 1: 2019, pp. 76-92 | Περίληψη: | The paper tackles the question of evolvable media reposito- ries, i.e., local pools of media files that are retrieved over the Internet and that are ever-renovated with new, related files in an evolutionary fash- ion. The herein proposed method encodes genotypic space by virtue of simple undirected graphs of natural language tokens that represent web queries without employing fitness functions or other evaluation/selection schemata. Once a first population is seeded, a series of modular crawlers query the particular World Wide Web repositories of interest for both media content and assorted meta-data. Then, a series of attached intelli- gent comprehenders analyse the retrieved content in order to eventually generate new genetic representations, and the cycle is repeated. Such a method is generic, scalable and modular, and can be made fit the pur- poses of a wide array of applications in all sorts of disparate contextual and functional scenarios. The paper features a formal description of the method, gives implementation guidelines, and presents example usages. | URI: | https://hdl.handle.net/20.500.14279/15017 | ISBN: | 978-3-030-22868-2 | DOI: | 10.1007/978-3-030-22868-2_6 | Rights: | © Springer Nature Switzerland AG 2019 | Type: | Book Chapter | Affiliation: | Cyprus University of Technology Norwegian University of Science and Technology |
Εμφανίζεται στις συλλογές: | Κεφάλαια βιβλίων/Book chapters |
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