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Case retrieval in ontology-based CBR systems
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Abou Assali, Amjad Lenne, Dominique Debray, Bruno |
| Copyright Year | 2009 |
| Abstract | This paper presents our knowledge-intensive Case-Based Reasoning platform for diagnosis, COBRA. It integrates domain knowledge along with cases in an ontological structure. COBRA allows users to describe cases using any concept or instance of a domain ontology, which leads to a heterogeneous case base. Cases heterogeneity complicates their retrieval since correspondences must be identified between query and case attributes. We present in this paper our system architecture and the case retrieval phase. Then, we introduce the notions of similarity regions and attributes' roles used to overcome cases heterogeneity problems. |
| Related Links | https://ineris.hal.science/ineris-00973352/file/2009-227_hal.pdf |
| ISBN | 9783642046179 |
| Conference Proceedings | 32. Annual Conference on artificial intelligence (KI 2009) |
| DOI | 10.1007/978-3-642-04617-9_71 |
| Volume Number | 5803 |
| Language | English |
| Publisher | HAL CCSD Springer |
| Publisher Date | 2009-01-01 |
| Access Restriction | Open |
| Subject Keyword | HETEROGENEOUS CASE BASE CAPTEURS RAISONNEMENT A PARTIR DE CAS --- CASE-BASED REASONING ONTOLOGY SIMILARITY MEASURES SIMILARITY REGIONS ONTOLOGIE Engineering Sciences [physics] |
| Content Type | Text |
| Resource Type | Conference Proceedings |
| Subject | Physics and Astronomy |
