Abstract
To develop a field specific and multilingual search-engine, numerous algorithms are needed in addition to a general-purpose search engine. Here we describe the focal areas of development done in EERQI: Automatic classification for educational research, multilingual retrieval, query extension and relevance ranking. The classification algorithms, developed in EERQI enable a crawler to identify relevant objects with respect to a scientific field; the multilingual algorithms allow the retrieval of documents in several languages; query extension proposes related query terms to the user; relevance ranking is enhanced by semantic analysis.
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© 2014 Springer Fachmedien Wiesbaden
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Kaplan, A., Sándor, Á., Severiens, T., Vorndran, A. (2014). Finding Quality: A Multilingual Search Engine for Educational Research. In: Gogolin, I., Åström, F., Hansen, A. (eds) Assessing Quality in European Educational Research. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-05969-9_2
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DOI: https://doi.org/10.1007/978-3-658-05969-9_2
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