Abstract
The entity matching task aims at identifying whether instances are referring to the same real world entity. It is considered as a fundamental task in data
integration and cleaning techniques. More recently, the entity matching task has
also become a vital part in techniques focusing on entity search and entity evolution. Unfortunately, the existing data sets and benchmarking systems are not able to cover the related evaluation requirements. In this demonstration, we present EMBench; a system for benchmarking entity matching, search or evolution systems in a generic, complete, and principled way. We will discuss the technical challenges for generating benchmark data for these tasks, the novelties of our system with respect to existing similar efforts, and explain how EMBench can be used for generating benchmarking data.
integration and cleaning techniques. More recently, the entity matching task has
also become a vital part in techniques focusing on entity search and entity evolution. Unfortunately, the existing data sets and benchmarking systems are not able to cover the related evaluation requirements. In this demonstration, we present EMBench; a system for benchmarking entity matching, search or evolution systems in a generic, complete, and principled way. We will discuss the technical challenges for generating benchmark data for these tasks, the novelties of our system with respect to existing similar efforts, and explain how EMBench can be used for generating benchmarking data.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Semantic Web Conference Posters & Demonstrations Track |
| Publisher | CEUR Workshop Proceedings |
| Pages | 113-116 |
| Volume | 1272 |
| Publication status | Published - 2014 |
| Externally published | Yes |