Enhancing the Browsing Cache Management in the Clavy Platform

Clavy is an experimental platform for the management of learning object repositories with dynamically reconfigurable structures. Clavy does not use a concrete metadata schema for repositories but allows repository authors to define the schema that best adapts to each repository. Clavy also promotes an iterative and incremental definition of the schemata, allowing repository authors to reconfigure them throughout their life cycle. So, Clavy integrates information management strategies capable of dealing with this constant change. In this sense, a critical component of Clavy is the browsing system, which allows the user of a repository to carry out the navigation guided by the structure of the schema. One of the strategies used in Clavy to support navigation is the combination of inverted indexes with a browsing cache. However, although this strategy adapts to the most common changes in the schemata it does not adapt to changes in the contents of the repositories (that is, the addition, modification or deletion of learning objects). This paper proposes an enhancement to solve this limitation, and evaluates the approach proposed in a concrete repository in the domain of archeology.