Knowledge forest: a novel model to organize knowledge fragments
نویسندگان
چکیده
With the rapid growth of knowledge, it shows a steady trend knowledge fragmentization. Knowledge fragmentization manifests as that related to specific topic in course is scattered isolated and autonomous sources. We term facet fragment. The problem brings two challenges: First, various sources, which exerts users' considerable efforts search for their interested topics, thereby leading information overload. Second, learning dependencies refer precedence relationships between topics process are concealed by isolation autonomy thus causing disorientation. To solve problem, we propose novel organization model, forest, consists trees dependencies. Facet can organize fragments with hyponymy alleviate Learning disordered cope conduct extensive experiments on three manually constructed datasets from Data Structure, Mining, Computer Network courses, experimental results show forest effectively fragments, overload
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ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2021
ISSN: ['1869-1919', '1674-733X']
DOI: https://doi.org/10.1007/s11432-018-9940-0