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Governmental policy makers can use social networking sites to better engage with citizens. On the one hand social networking sites are well accepted by citizens and a familiar environment where discussions are already taking place and social networking sites are also more important for politicians. Thus, a need for information retrieval (the policy maker gathering information), dissemination (the policy maker broadcasting information) and two-way dialog between the policy maker and citizens over these platforms. The idea is to connect both the policy makers and the citizens. In fact social media is a mass medium and it's difficult to sieve through multitudes of comments to get to the crux of a debate. The authors 'approach to address this is to use automatic analysis components to summarise and categorize text. To be able to place successful tools that can be used in the policy maker's everyday life within the design process is important. This paper describes the phase of combining the policy makers 'requirements with the technical feasibility to develop a software prototype, where the analysis tools can be validated within the domain of policy makers and policymaking. This paper sets up the environment for evaluating this approach and to address the question of usefulness with respect to a dialogue with citizens [ABSTRACT FROM AUTHOR]

Purpose – The general science portal "vascoda" merges structured, high-quality information collections from more than 40 providers on the basis of search engine technology (FAST) and a concept which treats semantic heterogeneity between different controlled vocabularies. First experiences with the portal show some weaknesses of this approach which come out in most metadata-driven Digital Libraries (DLs) or subject specific portals. The purpose of the paper is to propose models to reduce the semantic complexity in heterogeneous DLs. The aim is to introduce value-added services (treatment of term vagueness and document re-ranking) that gain a certain quality in DLs if they are combined with heterogeneity components established in the project "Competence Center Modeling and Treatment of Semantic Heterogeneity". Design/methodology/approach – Two methods, which are derived from scientometrics and network analysis, will be implemented with the objective to re-rank result sets by the following structural properties: the ranking of the results by core journals (so-called Bradfordizing) and ranking by centrality of authors in co-authorship networks. Findings – The methods, which will be implemented, focus on the query and on the result side of a search and are designed to positively influence each other. Conceptually, they will improve the search quality and guarantee that the most relevant documents in result sets will be ranked higher. Originality/value – The central impact of the paper focuses on the integration of three structural value-adding methods, which aim at reducing the semantic complexity represented in distributed DLs at several stages in the information retrieval process: query construction, search and ranking and re-ranking. [ABSTRACT FROM AUTHOR]