Combining fuzzy information from multiple systems
Journal of Computer and System Sciences
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
Modern Information Retrieval
Processing Complex Similarity Queries with Distance-Based Access Methods
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A Probabilistic Spell for the Curse of Dimensionality
ALENEX '01 Revised Papers from the Third International Workshop on Algorithm Engineering and Experimentation
Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Unified framework for fast exact and approximate search in dissimilarity spaces
ACM Transactions on Database Systems (TODS)
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Reranking Methods for Visual Search
IEEE MultiMedia
Efficient Processing of Metric Skyline Queries
IEEE Transactions on Knowledge and Data Engineering
Time series shapelets: a new primitive for data mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
On Fuzzy vs. Metric Similarity Search in Complex Databases
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
On nonmetric similarity search problems in complex domains
ACM Computing Surveys (CSUR)
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
Polyphasic metric index: reaching the practical limits of proximity searching
SISAP'12 Proceedings of the 5th international conference on Similarity Search and Applications
| Hi-index | 0.00 |
In this paper the impact of the metric indexing paradigm on the real-world applications is discussed. We pose questions whether the priorities in research of metric access methods (MAMs) established in the past decades reflect the actual needs of practitioners. In particular, we formulate the following pragmatic questions: Are the established MAM cost measures relevant? Isn't the metric space model too general when the majority of real-world applications use Lp spaces? On the other hand, isn't the metric model too restrictive with respect to the growing community of practitioners using non-metric distances? Are the simple similarity queries competitive enough? Have the real-world similarity search engines ever used a general metric access method, or do they use specific indexing? Is there a real demand for content-based similarity search or will the annotations and keyword search win the game? We present justification of these questions, investigating relevant literature and search engines. Finally, we try to transform the questions into answers and suggestions to the future research on MAMs.