Representing Similarity for CBR in XML-Reference-Cited by-同舟云学术

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Representing Similarity for CBR in XML

Published:2004 Issue: Volume: Page:119-127
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Coyle Lorcan,Doyle Dónal,Cunningham Pádraig

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-28631-8_10.pdf

Reference19 articles.

1. Lecture Notes in Artificial Intelligence;L. Coyle,2004

2. Lecture Notes in Artificial Intelligence;L. Coyle,2002

3. Coyle, L., Cunningham, P., Hayes, C.: Representing Cases for CBR in XML. In: Proceedings of 7th UKCBR Workshop, Peterhouse, Cambridge, UK (2002)

4. Lecture Notes in Computer Science;P. Cunningham,2003

5. Doyle, D., Loughrey, L., Nugent, C., Coyle, L., Cunningham, P.: FIONN: A Framework for Developing CBR Systems. To appear in Expert Update 2004

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1. Research on Emergency Management of Coal Mine Accidents Based on Information Extraction and Knowledge Graphs;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10

2. P2P case storage and retrieval with an unspecified ontology;Artificial Intelligence Review;2007-10

3. A Case-Based Framework for Collaborative Semantic Search in Knowledge Sifter;Case-Based Reasoning Research and Development;2007

4. Case-Based Reasoning Within Semantic Web Technologies;Artificial Intelligence: Methodology, Systems, and Applications;2006

5. A CBR-Based Approach for Supporting Consulting Agencies in Successfully Accompanying a Customer’s Introduction of Knowledge Management;Lecture Notes in Computer Science;2006

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