TOWARDS MKDA: A DATA MINING SEMANTIC WEB SERVICE

Vincenzo Cannella, Giuseppe Russo, Roberto Pirrone

2008

Abstract

Nowadays a huge amount of raw medical data is generated. These data, analyzed with data mining techniques, could be used to produce new knowledge. Unluckily such tasks need skilled data analysts, and not so many researchers in medical field are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The experiment specifications are expressed in a formal language we have defined. The system GUI helps the user in the their composition. The system plans a Knowledge Discovery Process (KDP). The KDP is designed on the basis of rules in a knowledge base. Finally the system executes the KDP and produces a model as result. The system works through the co-operation of different web services specialized in different tasks. The choice of web services is based on the semantic of their functionalities, according to a common OWL ontology. The system is still under development.

Paper Citation

in Harvard Style

Cannella V., Russo G. and Pirrone R. (2008). TOWARDS MKDA: A DATA MINING SEMANTIC WEB SERVICE . In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-26-5, pages 129-134. DOI: 10.5220/0001521801290134

in Bibtex Style

@conference{webist08,
author={Vincenzo Cannella and Giuseppe Russo and Roberto Pirrone},
title={TOWARDS MKDA: A DATA MINING SEMANTIC WEB SERVICE},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2008},
pages={129-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001521801290134},
isbn={978-989-8111-26-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - TOWARDS MKDA: A DATA MINING SEMANTIC WEB SERVICE
SN - 978-989-8111-26-5
AU - Cannella V.
AU - Russo G.
AU - Pirrone R.
PY - 2008
SP - 129
EP - 134
DO - 10.5220/0001521801290134