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DATA STRUCTURE, SYSTEM AND METHOD FOR KNOWLEDGE NAVIGATION AND DISCOVERY

机译:知识导航和发现的数据结构,系统和方法

摘要

Data structures, systems, methods and computer program products that enable precise information retrieval and extraction, and thus facilitate relational and associative discovery are disclosed. The present invention utilizes a novel data structure termed a 'Knowlet' which combines multiple attributes and values for relationships between concepts. While texts contain many re-iterations of factual statements, Knowlets record relationships between two concepts only once and the attributes and values of the relationships change based on multiple instances of factual statements, increasing co-occurrence or associations. The present invention's approach results in a minimal growth of the Knowlet space as compared to the text space and it thus useful where there is a vast data store, a relevant ontology/thesaurus, and a need for knowledge navigation and (relational, associative, and/or other) knowledge discovery.
机译:公开了使得能够进行精确的信息检索和提取并由此促进关系和关联发现的数据结构,系统,方法和计算机程序产品。本发明利用了被称为“小知识”的新颖的数据结构,其结合了用于概念之间的关系的多个属性和值。尽管文本中包含许多对事实陈述的重复,但是Knowlets仅记录两个概念之间的关系,并且关系的属性和值基于事实陈述的多个实例而改变,从而增加了同时发生或关联的可能性。与文本空间相比,本发明的方法导致了Knowlet空间的最小增长,因此在存在大量数据存储,相关本体/词库以及需要知识导航和(关系,关联和知识)需求的情况下很有用。 /或其他)知识发现。

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