By Witold Abramowicz
Knowledge-Based details Retrieval and Filtering from the Web comprises fifteen chapters, contributed by means of prime foreign researchers, addressing the problem of knowledge retrieval, filtering and administration of the knowledge on the net. The learn provided bargains with the necessity to locate right options for the outline of the knowledge chanced on on the net, the outline of the knowledge shoppers desire, the algorithms for retrieving records (and in some way, the knowledge embedded in them), and the presentation of the data discovered. The chapters contain:
-Ontological illustration of information at the WWW;
-Information extraction;
-Information retrieval and management of dispensed files;
-Hard and delicate modeling dependent wisdom trap;
-Summarization of texts came upon at the WWW;
-User profiles and personalization for web-based info retrieval method;
-Information retrieval lower than constricted bandwidth;
-Multilingual WWW;
-Generic hierarchical type utilizing the single-link clustering;
-Clustering of records at the foundation of textual content fuzzy similarity;
-Intelligent brokers for rfile categorization and adaptive filtering;
-Multimedia retrieval and knowledge mining for E-commerce and E-business;
-A Web-based method of aggressive intelligence;
-Learning ontologies for domain-specific details retrieval;
-An open, decentralized structure for looking for, and publishing details in disbursed platforms.
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Knowledge-Based Information Retrieval and Filtering from the Web (The Springer International Series in Engineering and Computer Science) by Witold Abramowicz
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