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Autor:
Kaplan, Aaron; Sándor, Ágnes; Severiens, Thomas; Vorndran, Angela:

Titel:
Finding quality
A multilingual search engine for Educational Research

Quelle:
In: Gogolin, Ingrid; Åström, Fredrik; Hansen, Antje (Hrsg.): Assessing quality in European Educational Research Wiesbaden : Springer VS (2014) , 22-30

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)

Schlagwörter:
Algorithmus, Analyse, Automatisierung, Bildungsforschung, Information Retrieval, Klassifikation, Mehrsprachigkeit, Projekt, Ranking, Relevanz, Semantik, Suchmaschine, Wissenschaftsdisziplin


Abstract(original):
To develop a field specific and multilingual search-engine, numerous algorithms are needed in addition to a general-purpose search engine. Here the authors 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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last modified Nov 11, 2016