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CREATING AN ONTOLOGY ACROSS MULTIPLE SEMANTICALLY-RELATED DATA SETS
CREATING AN ONTOLOGY ACROSS MULTIPLE SEMANTICALLY-RELATED DATA SETS
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机译:跨多个与数学相关的数据集创建本体
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摘要
Embodiments presented herein disclose techniques for generating an entity pool, a hierarchical structure of related nodes that assists with classification and comparison of dissimilar data sets. To generate the entity pool, text references and metadata are collected from a public source, such as an online encyclopedia or other text source that provides dense and structured data that focuses on identified terminology. The text references are assigned similarity scores based on contextual information provided by the metadata. The text references are clustered into nodes based on similarity. Relationships between the nodes are defined based on edges generated between the nodes.
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