The Web puts a huge number of learning resources within reach of anyone with Internet access. However, many valuable resources are difficult to find due to the lack of interoperability among learning repositories. In order to achieve... more
The Web puts a huge number of learning resources within reach of anyone with Internet access. However, many valuable resources are difficult to find due to the lack of interoperability among learning repositories. In order to achieve interoperability, implementers require a common query framework. This paper discusses a set of methods referred to as Simple Query Interface (SQI) as a universal interoperability layer for educational networks. The methods proposed can be used by a source for configuring ...
The Web puts a huge number of learning resources within reach of anyone with Internet access. However, many valuable resources are difficult to find due to the lack of interoperability among learning repositories. In order to achieve... more
The Web puts a huge number of learning resources within reach of anyone with Internet access. However, many valuable resources are difficult to find due to the lack of interoperability among learning repositories. In order to achieve interoperability, implementers require a common query framework. This paper discusses a set of methods referred to as Simple Query Interface (SQI) as a universal interoperability layer for educational networks. The methods proposed can be used by a source for configuring and submitting queries to a target system and retrieving results from it. The SQI interface can be implemented in a synchronous or an asynchronous manner and is independent of query languages and metadata schemas. In this paper SQI’s universal applicability has been evaluated by more than a dozen implementations demonstrated in three different case studies. SQI has been finalized as a standard in the CEN/ISSS Learning Technologies Workshop. Latest developments of SQI can be followed at ...
This paper presents a solution to the problem of the search and retrieval digital tagged content in heterogeneous learning object repositories through architecture for intelligent retrieval of educational content in heterogeneous... more
This paper presents a solution to the problem of the search and retrieval digital tagged content in heterogeneous learning object repositories through architecture for intelligent retrieval of educational content in heterogeneous environments (AIREH) framework. This architecture unifies the search and retrieval of objects, thus facilitating the personalised learning search process by filtering and properly classifying learning objects retrieved for an approach for semantic-aware learning content retrieval based on abstraction layers between the repositories and the search clients. The use of federated databases techniques by using an organisation of agents allows those agents to work in a coordinated manner to solve a common problem, allowing the agents to adapt to the constantly changing environment (users, content repositories, etc.). Combining a complete agent-based architecture that implements the concept of federated search along with IR technologies may help organising and sorting search results in a meaningful way for educational content.
