Entity Resolution (ER), a core task of Data Integration, detects different entity profiles that
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …

Feature selection has been an important research area in data mining, which chooses a
subset of relevant features for use in the model building. This paper aims to provide an …

Nowadays information is crucial in many fields such as medicine, science and business,
where databases are used effectively for information sharing. However, the databases face …

Entity Resolution (ER) is the task of finding entity profiles that correspond to the same real-
world entity. Progressive ER aims to efficiently resolve large datasets when limited time …

摘要实体对齐(Entity Alignment) 旨在发现不同知识图谱(Knowledge Graph)
中指代相同事物的实体, 是知识图谱融合的关键技术, 近年来受到了广泛的关注. 早期 …

The entity reconciliation (ER) problem aroused much interest as a research topic in today's
Big Data era, full of big and open heterogeneous data sources. This problem poses when …

Efficiency techniques are an integral part of Entity Resolution, since its infancy. In this
survey, we organized the bulk of works in the field into Blocking, Filtering and hybrid …

Temporal knowledge graphs (TKGs) are used for dynamically modeling facts in the temporal
dimension, and are widely used in various fields. However, existing reasoning models often …

The goal of entity alignment is to identify entities in two multi-source knowledge graphs
(KGs) that represent the same real-world object. Recent researches on multi-source entity …

In this era of information where everything is digital, data tends to be ubiquitous. Data
Analytics is a term that covers all the areas that deal with the logical analysis of raw data …