Klint: Assisting integration of heterogeneous knowledge

Jacobo Rouces, Gerard De Melo, Katja Hose

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


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 languageEnglish (US)
Pages (from-to)4262-4263
Number of pages2
JournalIJCAI International Joint Conference on Artificial Intelligence
StatePublished - 2016
Externally publishedYes
Event25th International Joint Conference on Artificial Intelligence, IJCAI 2016 - New York, United States
Duration: Jul 9 2016Jul 15 2016

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence


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