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Entity Bases: Large-Scale Knowledgebases for Intelligence Data

机译:实体基础:智能数据的大规模知识库

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This report describes new technology for rapidly integrating information from heterogeneous sources. First, we consider the problem of integrating records about entities harvested from multiple sources. We address this problem by developing the technology to build massive entity knowledgebases, which we call EntityBases. The key idea is to create a comprehensive knowledgebase for the entities of interest. In order to build such a knowledge base, we address the issues of linking entities with noisy, multi-valued attributes obtained from heterogeneous sources and providing a virtual repository that can be efficiently queried. This report describes how we have addressed these issues and shows how an EntityBase can be used for understanding and linking text documents. We also consider the problem of on- demand information integration and describe a novel smart copy and paste (SCP) architecture that seamlessly combines the design-time and run-time aspects of data integration.

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