schema integration
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2020 ◽  
Vol 35 (2) ◽  
pp. 65-82
Author(s):  
Lee Wei Ching

This qualitative case study investigated why and how a teacher used his agency in curriculum-making. The study uses in-depth interviews, classroom observation, and teaching artefacts to understand the socio-cultural perspective on the interplay among agency, resources, schema, and structure. It finds that in this case, teacher agency was triggered by the perturbation resulting from a misalignment between the teacher’s personal beliefs and the school’s cultural schema. Strategies for reconciling were enacted through resource creation, cultural schema integration, negotiation for curriculum space, and researching. More attention is needed to understand how the perturbation emerged in the practices, the coupling relationships between resources and cultural schema, and the agency transformation.


Author(s):  
Nouha Arfaoui ◽  
Jalel Akaichi

The healthcare industry generates huge amount of data underused for decision making needs because of the absence of specific design mastered by healthcare actors and the lack of collaboration and information exchange between the institutions. In this work, a new approach is proposed to design the schema of a Hospital Data Warehouse (HDW). It starts by generating the schemas of the Hospital Data Mart (HDM) one for each department taking into consideration the requirements of the healthcare staffs and the existing data sources. Then, it merges them to build the schema of HDW. The bottom-up approach is suitable because the healthcare departments are separately. To merge the schemas, a new schema integration methodology is used. It starts by extracting the similar elements of the schemas and the conflicts and presents them as mapping rules. Then, it transforms the rules into queries and applies them to merge the schemas.


2017 ◽  
Vol 1 (2) ◽  
pp. 57
Author(s):  
Nayyer Masood ◽  
Amna Bibi ◽  
Muhammad Arshad Islam

Schema integration has been mainly applied in database environment whether schemas to be integrated belonged to a single organization or multiple ones. Schema extraction is a relatively new area where schema is extracted from a web table. The extracted schema is not as much concretely defined as in a typical database environment. The work in this paper brings two areas together where extracted schemas from multiple web tables are integrated to form a global schema. The data are also extracted from web tables and placed into global table. This creates a large repository of data of the same domain extracted dynamically from websites which is then available for different types of ad-hoc queries. This work also imposes challenges on schema integration to be studied in the context of schema extraction and other way round.


Author(s):  
Nouha Arfaoui ◽  
Jalel Akaichi

The healthcare industry generates huge amount of data underused for decision making needs because of the absence of specific design mastered by healthcare actors and the lack of collaboration and information exchange between the institutions. In this work, a new approach is proposed to design the schema of a Hospital Data Warehouse (HDW). It starts by generating the schemas of the Hospital Data Mart (HDM) one for each department taking into consideration the requirements of the healthcare staffs and the existing data sources. Then, it merges them to build the schema of HDW. The bottom-up approach is suitable because the healthcare departments are separately. To merge the schemas, a new schema integration methodology is used. It starts by extracting the similar elements of the schemas and the conflicts and presents them as mapping rules. Then, it transforms the rules into queries and applies them to merge the schemas.


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