Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal

Lecturer workload at universities includes three major categories: teaching, research and services.Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design.The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets.The Lecturer profile contains information lecturer teaching, research, publication and many more.We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload.This method measures the lecturer teaching workload.The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset.Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture

Declarative taxonomic constraint enforcement in conceptual schemas

We propose to declaratively specify policies for the enforcement of integrity constraints directly in the structural conceptual schema. The policies we propose depend on the kind of taxonomic constraint to be enforced (disjointness, covering or specialization) and on the particular event that may cause the constraint violation. We also provide a formal definition of these policies and of the repair actions that must be taken into account to guarantee the enforcement of the corresponding constraint. This formalization serves as a basis for the automatic repair of events to preserve consistency and for ensuring that the repair process terminates.Postprint (published version