Semantic integration has been a long-standing challenge for the database community. It has
received steady attention over the past two decades, and has now become a prominent area …

知识图谱技术是人工智能技术的重要组成部分, 其建立的具有语义处理能力与开放互联能力的
知识库, 可在智能搜索, 智能问答, 个性化推荐等智能信息服务中产生应用价值 …

This chapter provides an overview of the data matching process, and describes the five
major steps involved in this process: data pre-processing (cleaning and standardisation) …

Record linkage is the process of matching records from several databases that refer to the
same entities. When applied on a single database, this process is known as deduplication …

Often, in the real world, entities have two or more representations in databases. Duplicate
records do not share a common key and/or they contain errors that make duplicate matching …

The problem of identifying approximately duplicate records in databases is an essential step
for data cleaning and data integration processes. Most existing approaches have relied on …

Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …

Data integration is a pervasive challenge faced in applications that need to query across
multiple autonomous and heterogeneous data sources. Data integration is crucial in large …

Entity matching is a crucial and difficult task for data integration. Entity matching frameworks
provide several methods and their combination to effectively solve different match tasks. In …

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IEEE IEEE INTELLIGENT SYSTEMS Published by the IEEE Computer Society I nformation I …