DocumentCode :
3357166
Title :
Meta data-a key to data acquisition and information retrieval
Author :
Reusch, Peter J A
Author_Institution :
Fachhochschule Dortmund, Germany
fYear :
2001
fDate :
2001
Firstpage :
220
Lastpage :
223
Abstract :
Meta data have a long tradition in several areas. Meta data help to structure data or documents and to classify the contents. It is important to recognize the power of existing meta data (thesauri, classifications, etc.) and to use such meta data and to expand such meta data for advanced data acquisition and information retrieval. To expand meta data modern learning systems should be used and an open communication model that integrates different aspects of data and meta data. Results of an information retrieval project are described and a new multi-level model of meta data is introduced
Keywords :
classification; data acquisition; information retrieval; learning systems; meta data; classification; data acquisition; data structuring; document structuring; information retrieval; learning systems; meta data; multi-level model; open communication model; Books; Content based retrieval; Data acquisition; Databases; History; Humans; Information retrieval; Learning systems; Libraries; Thesauri;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.
Conference_Location :
Crimea
Print_ISBN :
0-7803-7164-X
Type :
conf
DOI :
10.1109/IDAACS.2001.942017
Filename :
942017
Link To Document :
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