Trying to combine the easy-to-use tag-based annotations and the accurateness of structured formal annotations, a semantic enhancement of learning object repositories is proposed in this paper. Its potential impact to accessibility in the user experience is evaluated whilst similarities and differences against related work are discussed.
Traditionally, data views are seen as static, syntactically correct, data sets. The semantics of the data is not explicitly encoded in RDB (relational databases) but implicitly on the application level. However, the needs to create context-aware browsing methods in changing scenarios are demanding more flexible mechanisms. Data views need to be semantically enriched for capturing the real world changes. In this paper, we study how the semantics of RDB can be described and used in an ontology-based method for building dynamic data views. Our tests show that our approach increases the flexibility of information systems whilst decreases their maintenance costs.
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