Entity resolution in the Web of data

Entity resolution in the Web of data /

In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published o...

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Bibliographic Details
Main Authors: Christophides, Vassilis (Author), Efthymiou, Vasilis (Author), Stefanidis, Kostas (Author)
Format: Electronic eBook
Language:English
Published: Cham, Switzerland : Springer, [2015]
Series:Synthesis lectures on the semantic web, theory and technology ; #13.
Subjects:
Data mining.
Database management.
Online Access:Connect to this title online
Table of Contents:
  • 1. Web of data: describing and linking entities.
  • 2. Matching and resolving entities
  • 2.1 The problem of entity resolution
  • 2.2 Similarity functions
  • 2.2.1 Content-based similarity functions
  • 2.2.2 Relational similarity functions
  • 2.2.3 Approximations of similarity functions
  • 2.3 Discussion.
  • 3. Blocking
  • 3.1 The problem of entity blocking
  • 3.2 Blocking in traditional data warehouses
  • 3.3 Blocking in the web of data
  • 3.4 Block post-processing methods
  • 3.5 Discussion.
  • 4. Iterative entity resolution
  • 4.1 The problem of iterative entity resolution
  • 4.2 Merging-based iterative entity resolution
  • 4.3 Relationship-based iterative entity resolution
  • 4.4 Iterative blocking
  • 4.5 Incremental entity resolution
  • 4.6 Progressive entity resolution
  • 4.7 Discussion.
  • 5. Experimental evaluation of blocking algorithms
  • 5.1 Datasets
  • 5.2 Measures
  • 5.3 Quality results
  • 5.3.1 Identified matches (TPS)
  • 5.3.2 Missed matches (FNS)
  • 5.3.3 Non-matches (FPS and TNS)
  • 5.4 Performance results
  • 5.5 Different types of links
  • 5.6 Lessons learned.
  • 6. Conclusions
  • Bibliography
  • Authors' biographies.

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