In Artificial Intelligence knowledge representation is a
combination of data structures and interpretive procedures that
leads to knowledgeable behavior. It is required to investigate such
knowledge representation technique in which knowledge can be easily
represented in computer. This book compares various knowledge
representation techniques and proves that predicate logic is more
efficient and accurate knowledge representation scheme. The
algorithm presented in this book splits the English text into
phrases/constituents and then represents these in predicate logic.
Another algorithm splits the Urdu text into phrases/constituents
and then represents these in predicate logic. These algorithms also
regenerate the original sentences from the representation in order
to check the accuracy of representation. These algorithms have been
tested on real text of English and Urdu. As the algorithms work on
pre-tagged input files, so if the tagging is done correctly then
these algorithms achieve high level of accurately. Therefore it is
required that there should be proper rules with the help of which
one can correctly tag the input text into phrases/constituents.
General
Imprint: |
VDM Verlag
|
Country of origin: |
Germany |
Release date: |
February 2011 |
First published: |
February 2011 |
Authors: |
Amjad Ali
|
Dimensions: |
229 x 152 x 6mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
104 |
ISBN-13: |
978-3-639-33017-5 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
|
LSN: |
3-639-33017-X |
Barcode: |
9783639330175 |
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