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- W1499353380 abstract "This paper presents the development of a novel personal concept-based multilingual Web content mining system. Multilingual linguistic knowledge required by multilingual Web content mining is made available by encoding all multilingual concept-term relationships within a multilingual concept space using self-organising map. With this linguistic knowledge base, a personal space of interest is generated to reveal the conceptual content of a user’s multiple topics of interest using the user’s bookmark file. To personalise the multilingual Web content mining process, a concept-based Web crawler is developed to automatically gather multilingual web documents that are relevant to the user’s topics of interest As such, user-oriented concept-focused knowledge discovery in the multilingual Web is facilitated." @default.
- W1499353380 created "2016-06-24" @default.
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- W1499353380 date "2005-01-01" @default.
- W1499353380 modified "2023-09-27" @default.
- W1499353380 title "A Personalized Multilingual Web Content Miner: PMWebMiner" @default.
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- W1499353380 doi "https://doi.org/10.1007/11424826_103" @default.
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