Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/15017
Title: Evolvable Media Repositories: An Evolutionary System to Retrieve and Ever-Renovate Related Media Web Content
Authors: Koutsomichalis, Marinos 
Gambäck, Björn 
Keywords: Genetic algorithms;Database management;Multimedia information systems;Natural language processing
Category: Computer and Information Sciences
Field: Engineering and Technology
Issue Date: Jul-2019
Source: Advances in Intelligent Systems and Computing, Volume 998, 2019, Pages 76-92
Journal: Advances in Intelligent Systems and Computing 
Conference: Intelligent Computing Proceedings of the 2019 Computing Conference 
Abstract: 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://ktisis.cut.ac.cy/handle/10488/15017
ISBN: 21945357
DOI: 10.1007/978-3-030-22868-2_6
Rights: © Springer Nature Switzerland AG 2019
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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