TY - JOUR
T1 - A semantically guided and domain-independent evolutionary model for knowledge discovery from texts
AU - Atkinson-Abutridy, John
AU - Mellish, Chris
AU - Aitken, Stuart
PY - 2003/12
Y1 - 2003/12
N2 - We present a novel evolutionary model for knowledge discovery from texts (KDTs), which deals with issues concerning shallow text representation and processing for mining purposes in an integrated way. Its aims is to look for novel and interesting explanatory knowledge across text documents. The approach uses natural language technology and genetic algorithms to produce explanatory novel hypotheses. The proposed approach is interdisciplinary, involving concepts not only from evolutionary algorithms but also from many kinds of text mining methods. Accordingly, new kinds of genetic operations suitable for text mining are proposed. The principles behind the representation and a new proposal for using multiobjective evaluation at the semantic level are described. Some promising results and their assessment by human experts are also discussed which indicate the plausibility of the model for effective KDT.
AB - We present a novel evolutionary model for knowledge discovery from texts (KDTs), which deals with issues concerning shallow text representation and processing for mining purposes in an integrated way. Its aims is to look for novel and interesting explanatory knowledge across text documents. The approach uses natural language technology and genetic algorithms to produce explanatory novel hypotheses. The proposed approach is interdisciplinary, involving concepts not only from evolutionary algorithms but also from many kinds of text mining methods. Accordingly, new kinds of genetic operations suitable for text mining are proposed. The principles behind the representation and a new proposal for using multiobjective evaluation at the semantic level are described. Some promising results and their assessment by human experts are also discussed which indicate the plausibility of the model for effective KDT.
KW - Data mining
KW - Genetic algorithms (GAs)
KW - Knowledge discovery from texts (KDTs)
UR - http://www.scopus.com/inward/record.url?scp=0346502997&partnerID=8YFLogxK
U2 - 10.1109/TEVC.2003.819262
DO - 10.1109/TEVC.2003.819262
M3 - Article
AN - SCOPUS:0346502997
SN - 1089-778X
VL - 7
SP - 546
EP - 560
JO - IEEE Transactions on Evolutionary Computation
JF - IEEE Transactions on Evolutionary Computation
IS - 6
ER -