【摘要】 馆藏数字资源关联知识发现过程以读者对知识的准确性需求与对关联知识发现的期望为动力,以网页抓取、资源挖掘、索引为技术,以语义聚焦爬虫、领域本体、RDF查询语言、关联数据为发现方法,借助理念引领、新技术跟踪、知识针对性的发现策略,实现问题的理解与定义,资源的收集与挖掘,资源数据的清洗与序化,资源的关联与知识发现,知识的呈现、推送与评价。更多还原

【Abstract】 The association knowledge discovery process of the collection digital resource takes the knowledge of the accuracy demand and the discovery expectation of the association knowledge of the reader as the power, takes the web page capture, the resource mining and the index as the technology, based on the semantic focused crawler, the ontology, the RDF query language, the association data for discovery methods, with the help of the discovery strategy of the philosophy lead, the new tracking technology, and the knowledge pertinency, realizes the understanding and definition of problems, the collection and mining of resources, the cleaning and ordering of resource data, the resource association and knowledge discovery, and the appearance, push and evaluation of the knowledge.更多还原