NATIONAL OPEN UNIVERSITY OF NIGERIA
14/16 AHMADU BELLO WAY, VICTORIA ISLAND, LAGOS
SCHOOL OF SCIENCE AND TECHNOLOGY
MARCH/APRIL 2014 EXAMINATION
COURSE CODE: DAM 344
COURSE TITLE: SEMANTIC DATA MODELING
TIME ALLOWED: 2 ½ HOURS
INSTRUCTION: Answer Any Five (5) Questions. Each Question Carries 14marks
1(a.) With the aid of a diagram, describe a data modeling process. (10 Marks)
(b.) Briefly highlight the difference between the HC Data model and the HM Data model. (4 Marks)
2. (a.) Highlight 4 content-related properties of data? (6 Marks)
(b.) Briefly highlight the concept of Attributes in data modeling. (8 Marks)
3. (a.) Briefly highlight 2 of the kinds of data model instances. (8 Marks)
(b.) List four features of a good data model. (6 Marks)
4. (a.) Briefly highlight the concept of semantic annotation in semantic data modeling. (6 Marks)
(b.) “Normalised data schemas, when put into production, often suffer from performance problems”. Briefly discuss this statement. (8 Marks)
5. (a.) Describe briefly Associative entity (2 Marks)
(b.) Discuss 3 other uses of a data model that can be used to evaluate vendor software against a company’s data model in order to spot inconsistencies. (12 Marks)
(a.) Define briefly Derived attributes (2marks)
(b.) Highlight the components of the Business Semantics Management Product Suite. (12 Marks)
(a.) What is data modeling from the perspective of a software engineer? (3 Marks)
(b.) With the aid of an example, highlight the difference between Logical data models and Physical data models. (5 Marks)
(c.) Highlight 3 advantages of the HC-Data model over the HM-Data model. (6marks)
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