The application of semantic mapping in teaching reading ..
The DataWarehouse (DW) is the main Business Intelligence instrument for the analysis of large banks of operational data and for extracting strategic information in support of the decision making process. It is usually focused on a specific area of an organization. Data Warehouse integration is the process of combining multidimensional information from two or more heterogeneous DWs, and to present users an unified global overview of the combined strategic information from the DWs. The problem is becoming more and more frequent as the dynamic economic context sees many companies merges/acquisitions and the formation of new business networks, like co-opetition, where managers need to analyze all the involved parties and to be able to take strategic decisions concerning all the participants. The contribution of the thesis is to analyze heterogeneous DW environments and to present a dimension integration methodology that allows users to combine, access and query data from heterogeneous multidimensional sources. The integration methodology relies on graph theory and the Combined WordSense Disambiguation technique for generating semantic mappings between multidimensional schemas. Subsequently, schema heterogeneity is analyzed and handled, and compatible dimensions are uniformed by importing dimension categories fromone dimension to another. This allows users from different sources to have the same overview of the local data, and increases local schema compatibility for drill-across queries. The dimensional attributes are populated with instance value by using a chase algorithm variant based on the RELEVANT clustering approach. Finally, several quality properties are discussed and analyzed. Dimension homogeneity/heterogeneity is presented from the integration perspective; also the thesis presents the theoretical fundamentals under which mapping quality properties (like coherency, soundness and consistency) are preserved. Furthermore, the integration methodology will be analyzed when slowly changing dimensions are encountered.
The use of semantic mapping and thinking aloud …
Le, N. H. G. (2009). The effects of semantic mapping in teaching vocabulary. Master thesis, University of Social Sciences and Humanities of Ho Chi Minh City, Vietnam.
My research interests involve semantic mapping for autonomous mobile robots in indoor environments, with a particular attention on the analysing the structural properties of buildings.
My goal is to identify the main features that characterize an indoor environment, in order to provide a human-like comprehension of the structural properties of buildings for an autonomous robots.