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Abstract

Der Beitrag widmet sich dem neuen Google-Suchdienst Google Scholar. Die Suchmaschine, die ausschließlich wissenschaftliche Dokumente durchsuchen soll, wird mit ihren wichtigsten Funktionen beschrieben und anschließend einem empirischen Test unterzogen. Die durchgeführte Studie basiert auf drei Zeitschriftenlisten: Zeitschriften von Thomson Scientific, Open AccessZeitschriften des Verzeichnisses DOAJ und in der Fachdatenbank SOLIS ausgewertete sozialwissenschaftliche Zeitschriften. Die Abdeckung dieser Zeitschriften durch Google Scholar wurde per Abfrage der Zeitschriftentitel überprüft. Die Studie zeigt Defizite in der Abdeckung und Aktualität des Google Scholarlndex. Weiterhin macht die Studie deutlich, wer die wichtigsten Datenlieferanten für den neuen Suchdienst sind und welche wissenschaftlichen Informationsquellen im Index repräsentiert sind. Die Pluspunkte von Google Scholar liegen in seiner Einfachheit, seiner Suchgeschwindigkeit und letztendlich seiner Kostenfreiheit. Die Recherche in Fachdatenbanken kann Google Scholar trotz sichtbarer Potenziale (z. B. Zitationsanalyse) aber heute aufgrund mangelnder fachlicher Abdeckung und Transparenz nicht ersetzen.

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Abstract

In 2004, the German Federal Ministry for Education and Research funded a major terminology mapping initiative at the GESIS Social Science Information Centre in Bonn (GESIS-IZ), which will find its conclusion this year. The task of this terminology mapping initiative was to organize, create and manage 'crossconcordances' between major controlled vocabularies (thesauri, classification systems, subject heading lists) centred around the social sciences but quickly extending to other subject areas. Cross-concordances are intellectually (manually) created crosswalks that determine equivalence, hierarchy, and association relations between terms from two controlled vocabularies. Most vocabularies have been related bilaterally, that is, there is a cross-concordance relating terms from vocabulary A to vocabulary B as well as a cross-concordance relating terms from vocabulary B to vocabulary A (bilateral relations are not necessarily symmetrical). Till August 2007, 24 controlled vocabularies from 11 disciplines will be connected with vocabulary sizes ranging from 2,000 - 17,000 terms per vocabulary. To date more than 260,000 relations are generated. A database including all vocabularies and cross-concordances was built and a 'heterogeneity service' developed, a web service, which makes the cross-concordances available for other applications. Many cross-concordances are already implemented and utilized for the German Social Science Information Portal Sowiport (www.sowiport.de), which searches bibliographical and other information resources (incl. 13 databases with 10 different vocabularies and ca. 2.5 million references).