A domain-independent approach to discourse-level knowledge discovery from texts

John A. Atkinson-Abutridy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes a new approach for mining novel patterns from textual databases which considers both the mining process itself, the evaluation of this knowledge, and the human assessment. This is achieved by integrating Information Extraction technology and Genetic Algorithms to produce high-level explanatory novel hypotheses. Experimental results using the model are discussed and the assessment by human experts are highlighted.

Original languageEnglish
Title of host publicationInnovations in Applied Artificial Intelligence - 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Proceedings
PublisherSpringer Verlag
Pages470-479
Number of pages10
ISBN (Print)3540265511, 9783540265511
DOIs
StatePublished - 2005
Externally publishedYes
Event18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Innovations in Applied Artificial Intelligence, IEA/AIE 2005 - Bari, Italy
Duration: 22 Jun 200524 Jun 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3533 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Innovations in Applied Artificial Intelligence, IEA/AIE 2005
Country/TerritoryItaly
CityBari
Period22/06/0524/06/05

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