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Abstract

The federal system in Germany has created a segmented library landscape. Instead of a central entity responsible for cataloguing and indexing, regional library unions share the workload cooperatively among their members. One result of this approach is limited sharing of cataloguing and indexing information across union catalogues as well as heterogeneous indexing of items with almost equivalent content: different editions of the same work. In this paper, a method for clustering entries in library catalogues is proposed that can be used to reduce this heterogeneity as well as share indexing information across catalogue boundaries. In two experiments, the method is applied to several union catalogues and the results show that a surprisingly large number of previously not indexed entries can be enriched with indexing information. The quality of the indexing has been positively evaluated by human professionals and the results have already been imported into the production catalogues of two library unions.

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Abstract

Purpose - Biodiversity resources are inevitably digital and stored in a wide variety of formats by researchers or stakeholders. In Malaysia, although digitizing biodiversity data has long been stressed, the interoperability of the biodiversity data is still an issue that requires attention. This is because, when data are shared, the question of copyright occurs, creating a setback among researchers wanting to promote or share data through online presentations. To solve this, the aim is to present an approach to integrate data through wrapping of datasets stored in relational databases located on networked platforms. Design/methodology/approach - The approach uses tools such as XML, PHP, ASP and HTML to integrate distributed databases in heterogeneous formats. Five current database integration systems were reviewed and all of them have common attributes such as query-oriented, using a mediator-based approach and integrating a structured data model. These common attributes were also adopted in the proposed solution. Distributed Generic Information Retrieval (DiGIR) was used as a model in designing the proposed solution. Findings - A new database integration system was developed, which is user-friendly and simple with common attributes found in current integration systems.