An overview of end-to-end entity resolution for big data
One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …
Blocking and filtering techniques for entity resolution: A survey
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 …
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …
A survey on blocking technology of entity resolution
Entity resolution (ER) is a significant task in data integration, which aims to detect all entity
profiles that correspond to the same real-world entity. Due to its inherently quadratic …
profiles that correspond to the same real-world entity. Due to its inherently quadratic …
[图书][B] The four generations of entity resolution
Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk of
the research examines ways for improving its effectiveness and time efficiency. The initial …
the research examines ways for improving its effectiveness and time efficiency. The initial …
Linking sensitive data
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 …
increasing demand to share, integrate, and link such data within and across organisations in …
Comparative analysis of approximate blocking techniques for entity resolution
Entity Resolution is a core task for merging data collections. Due to its quadratic complexity,
it typically scales to large volumes of data through blocking: similar entities are clustered into …
it typically scales to large volumes of data through blocking: similar entities are clustered into …
Pre-trained embeddings for entity resolution: an experimental analysis
Many recent works on Entity Resolution (ER) leverage Deep Learning techniques involving
language models to improve effectiveness. This is applied to both main steps of ER, ie …
language models to improve effectiveness. This is applied to both main steps of ER, ie …
Three-dimensional entity resolution with JedAI
G Papadakis, G Mandilaras, L Gagliardelli… - Information Systems, 2020 - Elsevier
Entity Resolution (ER) is the task of detecting different entity profiles that describe the same
real-world objects. To facilitate its execution, we have developed JedAI, an open-source …
real-world objects. To facilitate its execution, we have developed JedAI, an open-source …
BLAST: a loosely schema-aware meta-blocking approach for entity resolution
Identifying records that refer to the same entity is a fundamental step for data integration.
Since it is prohibitively expensive to compare every pair of records, blocking techniques are …
Since it is prohibitively expensive to compare every pair of records, blocking techniques are …
A new robust approach for reversible database watermarking with distortion control
D Hu, D Zhao, S Zheng - IEEE Transactions on Knowledge and …, 2018 - ieeexplore.ieee.org
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 …
where databases are used effectively for information sharing. However, the databases face …