Sophia: A novel approach for Textual Case-based Reasoning
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 15-19.
Abstract
In this paper we present a novel methodology for textual case-based reasoning. This technique is unique in that it automatically discovers case and similarity knowledge, is language independent, is scaleable and facilitates semantic similarity between cases to be carried out inherently without the need for domain knowledge. In addition it provides an insight into the thematical content of the casebase as a whole, which enables users to better structure queries. We present an analysis of the competency of the system by assessing the quality of the similarity knowledge discovered and show how it is ideally suited to case-based retrieval (querying by example).
@inproceedings{ijcai2005p136,
title = {Sophia: A novel approach for Textual Case-based Reasoning},
author = {Patterson, David W. and Rooney, Niall and Dobrynin, Vladimir and Galushka, Mykola},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {15--19},
year = {2005},
url = {https://ijcai.org/proceedings/2005/136},
}
TY - CPAPER TI - Sophia: A novel approach for Textual Case-based Reasoning AU - Patterson, David W. AU - Rooney, Niall AU - Dobrynin, Vladimir AU - Galushka, Mykola T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 15 EP - 19 UR - https://ijcai.org/proceedings/2005/136 ER -Copied
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