Klint: Assisting Integration of Heterogeneous Knowledge
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4262-4262.
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.
@inproceedings{ijcai2016p651,
title = {Klint: Assisting Integration of Heterogeneous Knowledge},
author = {Rouces, Jacobo and de Melo, Gerard and Hose, Katja},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4262--4262},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/651},
}
TY - CPAPER TI - Klint: Assisting Integration of Heterogeneous Knowledge AU - Rouces, Jacobo AU - de Melo, Gerard AU - Hose, Katja T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4262 EP - 4262 UR - https://ijcai.org/proceedings/2016/651 ER -Copied
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