We are pleased to announce the latest title in Morgan & Claypool’s series on Data Management.
The Four Generations of Entity Resolution
George Papadakis, National and Kapodistrian University of Athens
Ekaterini Ioannou, Tilburg University
Emanouil Thanos, Katholieke Universiteit Leuven
Themis Palpanas, University of Paris, France & French University Institute
Paperback ISBN: 9781636390567
eBook ISBN: 9781636390574
Hardcover ISBN: 9781636390581
March 2021 | 174 Pages
http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1618
Abstract
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 ER methods primarily target Veracity in the context of structured (relational) data that are described by a schema of well-known quality and meaning. To achieve high effectiveness, they leverage schema, expert, and/or external knowledge. Part of these methods are extended to address Volume, processing large datasets through multi-core or massive parallelization approaches, such as the MapReduce paradigm. However, these early schema-based approaches are inapplicable to Web Data, which abound in voluminous, noisy, semi-structured, and highly heterogeneous information. To address the additional challenge of Variety, recent works on ER adopt a novel, loosely schema-aware functionality that emphasizes scalability and robustness to noise. Another line of present research focuses on the additional challenge of Velocity, aiming to process data collections of a continuously increasing volume. The latest works, though, take advantage of the significant breakthroughs in Deep Learning and Crowdsourcing, incorporating external knowledge to enhance the existing words to a significant extent.
This synthesis lecture organizes ER methods into four generations based on the challenges posed by these four Vs. For each generation, we outline the corresponding ER workflow, discuss the state-of-the-art methods per workflow step, and present current research directions. The discussion of these methods takes into account a historical perspective, explaining the evolution of the methods over time along with their similarities and differences. The lecture also discusses the available ER tools and benchmark datasets that allow expert as well as novice users to make use of the available solutions.
Table of Contents: Preface / Acknowledgments / Entity Resolution: Past, Present, and Yet-to-Come / Preliminaries / Generation 1: Addressing Veracity / Generation 2: Also Addressing Volume / Generation 3: Also Addressing Variety / Generation 4: Also Addressing Velocity / Leveraging External Knowledge / Resources for Entity Resolution / Possible Directions for Future Work / Bibliography / Authors' Biographies
Series: Data Management
Series Editor: H.V. Jagadish, University of Michigan
https://www.morganclaypoolpublishers.com/catalog_Orig/index.php?cPath=22&sort=2a&series=17