Principles of Data Integration

By AnHai Doan, Alon Y. Halevy, Z. Ives. 2012

663 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

Citations in the corpus

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, background): “we point the readers to some excellent surveys [40], [41].”
Toward a System Building Agenda for Data Integration (and Data Science) (2018, neutral): “In this paper we focus on data integration (DI), broadly interpreted as covering all major data preparation steps such as data extraction, exploration, profiling, cleaning, matching, and merging [10].”
Ontology Matching (2007, background): “…enterprise information integration) (Chawathe et al. 1994; Wache et al. 2001; 6 1 Applications Draper et al. 2001; Halevy et al. 2005; Seligman et al. 2010; Doan et al. 2012), and catalogue integration (Agrawal and Srikant 2001; Ichise et al. 2003; Bouquet et al. 2003b; Giunchiglia et al. 2005a).”
Biperpedia: An Ontology for Search Applications (2014, methodology): “We describe our algorithm for computing column and table mappings, which, in principle, is a variant on the schema matching problem for which there is a plethora of literature [8].”
Corleone: hands-off crowdsourcing for entity matching (2014, methodology): “We randomly sample t B / | A | tuples from B , then take S to be the Cartesian product between this set of tuples and A .”
Detecting Data Errors: Where are we and what needs to be done? (2016, background): “In the last two decades there has been intensive research in developing data cleaning algorithms and tools [10,11,14, • Rule-based detection algorithms [1,6,15,16,25,33] that can be embedded into frameworks, such as Nadeef [8, 23], where a rule can vary from a simple “not null” constraint to…”
Data collection and quality challenges in deep learning: a data-centric AI perspective (2021, background): “4 Multimodal Multimodal integration [25,56,153]”
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? (2017, methodology): “Integrating data and features from various sources for ML often requires applying and adapting data integration techniques [30, 9], e.”
Open question answering over curated and extracted knowledge bases (2014, methodology): “For each training example, the algorithm calls DeriveAnswers to generate a candidate set of answer derivations D.”