Neuware -Many of today's applications have a need for full-text search capabilities for various reasons. Although full-text search has traditionally been the domain of Information Retrieval, nowadays popular Relational Database Management Systems started to implement functionalities that support full-text indexing and searching. The present book covers a comparison of the text retrieval performances of relational databases and Information Retrieval Systems, as well as a comparison of the execution times during indexing and retrieval tasks over a Text REtrieval Conference (TREC)-like test collection for Turkish that contains 408,305 documents and 72 ad hoc queries. The effects of language specific processing for different systems are investigated. Also the effects of different query lengths and operators on retrieval performance are investigated. It is found that language specific preprocessing improves retrieval performance for all systems. Relational Databases are generally slower with longer queries.Books on Demand GmbH, �berseering 33, 22297 Hamburg 52 pp. Englisch.

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Bibliografische Details

Titel: Evaluation of Turkish Text Information Retrieval
Verlag: LAP LAMBERT Academic Publishing M�r 2014
Erscheinungsjahr: 2014
Sprache: Englisch
ISBN-10: 3659278009
ISBN-13: 9783659278006
Einband: Taschenbuch
Zustand: Neu

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Many of today's applications have a need for full-text search capabilities for various reasons. Although full-text search has traditionally been the domain of Information Retrieval, nowadays popular Relational Database Management Systems started to implement functionalities that support full-text indexing and searching. The present book covers a comparison of the text retrieval performances of relational databases and Information Retrieval Systems, as well as a comparison of the execution times during indexing and retrieval tasks over a Text REtrieval Conference (TREC)-like test collection for Turkish that contains 408,305 documents and 72 ad hoc queries. The effects of language specific processing for different systems are investigated. Also the effects of different query lengths and operators on retrieval performance are investigated. It is found that language specific preprocessing improves retrieval performance for all systems. Relational Databases are generally slower with longer queries.

�ber die Autorin bzw. den Autor

Ahmet Arslan was born in Mugla, Turkey on the 4th September 1981. He has a B.Sc. degree (2004) and M.Sc. degree (2008) in Computer Engineering from Anadolu University, Eskisehir, Turkey. Currently he is a Ph.D. student in the area of Information Retrieval. He has been working as Research Assistant at Anadolu University since December 2004.

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