Case-Based Reasoning Research and Development: 20th by Klaus-Dieter Althoff (auth.), Belén Díaz Agudo, Ian Watson

By Klaus-Dieter Althoff (auth.), Belén Díaz Agudo, Ian Watson (eds.)

This ebook constitutes the completely refereed post-conference lawsuits of the twentieth overseas convention on Case-Based Reasoning learn and improvement (ICCBR 2012) held in Lyon, France, September 3-6, 2012. The 34 revised complete papers awarded have been rigorously chosen from fifty one submissions. The shows and posters coated quite a lot of CBR themes of curiosity to either practitioners and researchers, together with foundational concerns overlaying case illustration, similarity, retrieval, and model; conversational CBR recommender structures; multi-agent collaborative platforms; info mining; time sequence research; internet purposes; wisdom administration; felony reasoning; healthcare platforms and making plans and scheduling systems.

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Case-Based Reasoning Research and Development: 20th International Conference, ICCBR 2012, Lyon, France, September 3-6, 2012. Proceedings

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Drools, however, offers a large part of the necessary functionality and can be connected with myCBR via the OSGi interface. Integrating Drools in myCBR meant having two types of rules to be implemented. On the one hand we have completion rules that run on the complete case base as a sub-process of loading the case base. They are built upon domain knowledge and enable the CBR system deducing attribute values from explicitly given features in a case or a query. Within this sub-process additional information is loaded, for example if you take cooking recipes as a case, completion rules can add the type of meal based on the ingredients and preparation methods [18].

SCOOBIE can be queried using SPARQL7 and this is how the myCBR IE component makes use of SCOOBIE: we transform the myCBR knowledge model in an RDFS graph and during the process of loading cases we carry out IE that matches terms and populates cases. IE with GATE. The GATE extension on the other hand makes also use of ontologies, but also applies more IE technologies. GATE’s IE tool ANNIE [11] uses the so-called OntoRoot Gazetteer to create gazetteers based on ontologies, which are then applied to tokenized and NE-tagged data sources.

The quality of the extraction did not substantially differ. Another obvious effect is that the more matches we found, the more effort time the case population takes. This explains why the Model 1 – ANNIE population of CB-1 is much slower (more than twice the time) than the population of CB-2. Using the larger model, which contains almost 30 times more values, produces quite similar run times. Having this fact in mind and looking at the run times for populating CB3 it shows that the number of cases populated influences the run time of case population most.

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