The First Semantic Web/Linked Data Conference of German libraries took place in Cologne on 24 and 25 November 2009 and revealed much interest in advancing from a web of documents to a web of data. The contributions covered advanced applications at the Library of Congress and the Swedish National library as well as advocacy for linked data approaches and the use of semantic web tools in the library and cultural heritage domain. The German National Library announced the publication of their authority files as linked open data, with first prototypes to become available in mid-2010, and this constituted a highlight of the conference. Discussions about ontologies to be used, application examples and a summary of practical experiences completed the event.

In this poster, we present our work in progress to develop a relevance model for library information systems, which takes non-textual factors into account. Here we focus on popularity data like citation or usage data. These data contain various biases that need to be corrected so as not to degrade the performance of the relevance model. Further, the different data might be to some extent incommensurable. We make use of the Characteristic Scores and Scales method to achieve two goals: first, remove biases from the raw data, and second, establish a common scale for the different data to support weighing the data against each other.

Being a concept quite familiar in the domain of information retrieval, data search in a web based environment has recently gained attention. With researchers and academic institutions increasingly publishing their data on the public web, traditional research workflows with respect to data search are subject to empirical analysis, user studies, re-engineering and service development. We investigate these workflows more in detail and introduce three patterns of web-based data search intended to serve both as a general reference and as a starting point for discipline specific adoptions. We give some real-world examples in terms of existing web applications and GUI components, thereby suggesting a combination of both generic and community specific approaches towards solutions for data search. We further analyze these patterns by means of empirical evidences we found in some research communities, before giving a summary and outlook on future work.

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