Web mining techniques for automatic discovery of medical knowledge

Authors:
David Sánchez;Antonio Moreno
Affiliations:
Department of Computer Science and Mathematics, University Rovirai Virgili (URV), Tarragona, Spain;Department of Computer Science and Mathematics, University Rovirai Virgili (URV), Tarragona, Spain
Venue:
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Year:
2005

Citing 5
Cited 1

Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL

EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Short Query Linguistic Expansion Techniques: Palliating One-Word Queries by Providing Intermediate Structure to Text

SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Web-scale information extraction in knowitall: (preliminary results)

Proceedings of the 13th international conference on World Wide Web
Learning by googling

ACM SIGKDD Explorations Newsletter
Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites

Computational Linguistics

Applying Agent Technology to Healthcare: The GruSMA Experience

IEEE Intelligent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose an automatic and autonomous methodology to discover taxonomies of terms from the Web and represent retrieved web documents into a meaningful organization. Moreover, a new method for lexicalizations and synonyms discovery is also introduced. The obtained results can be very useful for easing the access to web resources of any medical domain or creating ontological representations of knowledge.