Abstract
Text information retrieval is the most important function in text based information system. They are used to develop search engines, content management systems (CMS), including some text classification and clustering features. Many technologies about text information retrieval are well developed in the past research. This chapter reviews those information retrieval technologies and some related algorithms which are useful for further development into ontology learning method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Lim, E.H.Y., Liu, J.N.K., Lee, R.S.T. (2011). Text Information Retrieval. In: Knowledge Seeker - Ontology Modelling for Information Search and Management. Intelligent Systems Reference Library, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17916-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-17916-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17915-0
Online ISBN: 978-3-642-17916-7
eBook Packages: EngineeringEngineering (R0)