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 of blocking and filtering techniques for entity resolution
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 …
survey, we organized the bulk of works in the field into Blocking, Filtering and hybrid …
A machine learning-based method for content verification in the E-commerce domain
Analysis of extreme-scale data is an emerging research topic; the explosion in available
data raises the need for suitable content verification methods and tools to decrease the …
data raises the need for suitable content verification methods and tools to decrease the …
Siamese graph neural networks for data integration
Data integration has been studied extensively for decades and approached from different
angles. However, this domain still remains largely rule-driven and lacks universal …
angles. However, this domain still remains largely rule-driven and lacks universal …
Improved similarity assessment and spectral clustering for unsupervised linking of data extracted from bridge inspection reports
K Liu, N El-Gohary - Advanced Engineering Informatics, 2022 - Elsevier
Textual bridge inspection reports are important data sources for supporting data-driven
bridge deterioration prediction and maintenance decision making. Information extraction …
bridge deterioration prediction and maintenance decision making. Information extraction …
Managing Personal Identifiable Information in Data Lakes
Privacy is a fundamental human right according to the Universal Declaration of Human
Rights of the United Nations. Adoption of the General Data Protection Regulation (GDPR) in …
Rights of the United Nations. Adoption of the General Data Protection Regulation (GDPR) in …
Exploring Federated Learning for Data Integration: A Structured Literature Review
JP Awick, G Schumann… - … Conference on Big Data …, 2023 - ieeexplore.ieee.org
Data integration is utilized to integrate heterogeneous data from multiple sources,
representing a crucial step to improve information value in data analysis and mining …
representing a crucial step to improve information value in data analysis and mining …
Business entity matching with siamese graph convolutional networks
Data integration has been studied extensively for decades and approached from different
angles. However, this domain still remains largely rule-driven and lacks universal …
angles. However, this domain still remains largely rule-driven and lacks universal …
CompanyName2Vec: Company entity matching based on job ads
Entity Matching is an essential part of all real-world systems that take in structured and
unstructured data coming from different sources. Typically no common key is available for …
unstructured data coming from different sources. Typically no common key is available for …
Developing a legal form classification and extraction approach for company entity matching: Benchmark of rule-based and machine learning approaches
F Kruse, JP Awick, JM Gómez, P Loos - Business Information Systems, 2021 - tib-op.org
This paper explores the data integration process step record linkage. Thereby we focus on
the entity company. For the integration of company data, the company name is a crucial …
the entity company. For the integration of company data, the company name is a crucial …