Time-efficient link discovery for data-driven applications / by Kleanthi Georgala ; Thesis Supervisor: Prof. Dr. Axel-Cyrille Ngonga Ngomo. Paderborn, 2021
Content
- Introduction
- Preliminaries
- Related Work
- A Systematic Survey of String Similarity Joins for Link Discovery
- Motivation
- Preliminaries
- Systematic Survey Methodology
- Related Survey Results
- String Similarity Joins
- Evaluation of String Similarity Joins for Link Discovery
- Time Relations for Link Discovery
- Semantic Similarities for Link Discovery
- Fast Execution of Link Specifications
- Link Discovery Frameworks and Tools
- Aegle: An Efficient Approach for the Generation of Allen Relations
- Semantic Similarities for Link Discovery
- An Evaluation of Models for Runtime Approximation in Link Discovery
- Liger: Link Discovery with Partial Recall
- Linking with Guaranteed Expected Recall
- Partial-Recall Link Discovery
- Subsumption of Link Specifications
- Refinement of a Link Specification for Guaranteed Selectivity
- The Liger approach
- Evaluation
- Dynamic Planning for Link Discovery
- Conclusions and Future Work
- Bibliography
- Appendix