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In this paper we present a methodological framework for usefulness evaluation of digital libraries and information services that has been tested successfully in two case studies before developing a corresponding tool that may be used for further investigations. The tool is based on a combination of a knowledge base with exploitable and modifiable questions and an open source tool for online-questionnaires.
The dramatic increase in information on the World Wide Web makes it more difficult for web users using web search engines to effectively satisfy their information needs. The users’ lack of knowledge regarding the searched topics creates a complicated problem when formulating an effective query. Query expansion can play an essential role in overcoming such a deficit.
However, because they lack sufficient knowledge about the searched topics,
users sometimes find it difficult to evaluate the relatedness of the system’s
automatically expanded terms. This problem arises mostly in domain-specific areas, e.g. Social Science. In this paper, we expand the queries based on a structured, open knowledge resource on the Web (Wikipedia). We link the
entities from a domain-specific corpus (qualitative journals in social science)
to Wikipedia entities. With Wikipedia serving as background knowledge, we
help users with their selections by providing the most likely related terms.
Furthermore, users are provided with contextual information that describes
each expanded term in order to give users a clearer idea about the meaning of each expanded term. By utilizing 10 test queries chosen by experts who also evaluated the results, we compared the results of using Wikipedia with the results achieved by using a qualitative journal.
Zielsetzung der hier präsentierten Studie ist der Erkenntnisgewinn über Informationsprozesse,
-ressourcen und -bedürfnisse in der biowissenschaftlichen
Grundlagenforschung, um so zu einer Einschätzung von zukunftsfähigen bibliothekarischen Dienstleistungen für diese Zielgruppe zu gelangen.
Methodisch wird das Modell der „Information Horizons“ der Informationswissenschaftlerin
Diane Sonnenwald zugrunde gelegt. Demnach erfolgt die
Datenerhebung mittels narrativer Interviews und der Analyse von Zeichnungen,
in denen die Studienteilnehmer ihre Informationsprozesse verbildlichen.