Abstract
An increasing number of structured knowledge bases have become available on the Web, enabling many new forms of analyses and applications. However, the fact that the data is being published by different parties with different vocabularies and ontologies means that there is a high level of heterogeneity and no common schema. This paper presents Klint, a web-based system that automatically creates mappings to transform knowledge as provided by the sources into data that conforms to a large unified schema. The user can review and edit the mappings with a streamlined interface. In this way, Klint allows for human-level accuracy with minimum human effort.
Original language | English (US) |
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Pages (from-to) | 4262-4263 |
Number of pages | 2 |
Journal | IJCAI International Joint Conference on Artificial Intelligence |
Volume | 2016-January |
State | Published - 2016 |
Externally published | Yes |
Event | 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 - New York, United States Duration: Jul 9 2016 → Jul 15 2016 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence