@article{
 title = {Ontology based CBR with jCOLIBRI},
 type = {article},
 year = {2006},
 pages = {149-162},
 websites = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.9969},
 id = {43b3ee70-b93c-3989-805c-15809d765184},
 created = {2018-03-20T15:26:38.176Z},
 file_attached = {false},
 profile_id = {10a5194a-4ba8-3d21-9304-b9ab0e6d26f6},
 group_id = {d945a455-3b75-30fa-bb91-51beaa3700d0},
 last_modified = {2019-05-22T11:13:32.699Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Recio-Garcia2006a},
 private_publication = {false},
 abstract = {jCOLIBRI1 is a Java framework that helps designing Case Based Reasoning systems. This paper presents the incorporation of Description Logics reasoning capabilities to the new release of the framework. With this extension jCOLIBRI facilitates the development of Knowledge Intensive CBR applications. Ontologies are useful regarding different aspects: as the vocabulary to describe cases and/or queries, as a knowledge structure where the cases are located, and as the knowledge source to achieve semantic reasoning methods for similarity assessment and case adaptation that are reusable across different domains.},
 bibtype = {article},
 author = {Recio-García, Juan A. and Díaz-Agudo, Belén and González-calero, Pedro and Sánchez-Ruiz-Granados, Antonio A.},
 doi = {10.1007/978-1-84628-666-7_12},
 journal = {Applications and Innovations in Intelligent Systems XIV}
}

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