OWL/RDF
In recent years, teaching-learning methods have emerged into a completely new dimension from what used to be a traditional approach. The in-person lectures have been converted into online virtual learning, the traditional record-keeping has been replaced by robust learning management systems which have made the teaching-learning process lot more efficient and convenient.
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This data represent a knowledge graph (KG) that has been populated using a set of diagnostic documents provided by the CSTB (Scientific and technical center for building). This KG contains 51970 triples that describe 2998 product instances, 341 locations, 214 structures and 94 buildings. The construction year of those buildings varies between 1948 and 1997. We have 1525 products that contain asbestos and 1473 products are asbestos-free. To evaluate our approaches, CRA-Miner and the hybrid approache, we divided the KG data into 3 tiers, and we performed cross-validation.
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This is an ontology used for the identification of common algae involved in harmful algal bloom events. This ontology is used as a guide to determine the algae species to be identified by the expert system.
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