Bringing the national interlending system into the local document supply process – a Swedish case study

Purpose – The purpose of this paper is to describe how systems automating the local document supply process (such as integrated library systems and ILL management systems) can be integrated with systems automating regional document requesting (interlending). This is illustrated with a case study of DocFlow, an ILL management system developed in-house at Karolinska Institutet and its integration with Libris, the national interlending system in Sweden. Design/methodology/approach – The present paper describes how system integration between Libris and DocFlow was accomplished in practice. It also discusses various aspects of integration between systems offering automation of document supply. Findings – Integration between local document supply workflows and regional document request flows may involve techniques such as import of outgoing and incoming interlending requests, synchronization of status values between systems, exchange of messages between systems and quick links to the native interfaces of external systems. Practical implications – The paper brings up various aspects to consider when developing or procuring a system for the local management of ILL workflows. Originality/value – The paper may provide a deeper understanding of system integration, as it applies to the document supply process.NoneAccepte

Multilingual query expansion in the Svemed+ bibliographic database : a case study

SveMed+ is a bibliographic database covering Scandinavian medical journals. It is produced by the University Library of Karolinska Institutet in Sweden. The bibliographic references are indexed with terms from the Medical Subject Headings (MeSH) thesaurus. The MeSH has been translated into several languages including Swedish, making it suitable as the basis for multilingual tools in the medical field. The data structure of SveMed+ closely mimics that of PubMed/MEDLINE. Users of PubMed/MEDLINE and similar databases typically expect retrieval features that are not readily available off-the-shelf. The SveMed+ interface is based on a free text search engine (Solr) and a relational database management system (Microsoft SQL Server) containing the bibliographic database and a multilingual thesaurus database. The thesaurus database contains medical terms in three different languages and information about relationships between the terms. A combined approach involving the Solr free text index, the bibliographic database and the thesaurus database allowed the implementation of functionality such as automatic multilingual query expansion, faceting and hierarchical explode searches. The present paper describes how this was done in practice.NoneAccepte