Towards Mkda: A Data Mining Semantic Web Service

Risultato della ricerca: Other

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.
Lingua originaleEnglish
Pagine129-134
Numero di pagine6
Stato di pubblicazionePublished - 2008

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Semantic Web
Web services
Data mining
Formal languages
Graphical user interfaces
Medicine
Ontology
Semantic web services
Semantics
Specifications
Knowledge discovery
Chemical analysis
Experiments

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management

Cita questo

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title = "Towards Mkda: A Data Mining Semantic Web Service",
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.",
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AU - Russo, Giuseppe

AU - Cannella, Vincenzo

AU - Pirrone, Roberto

PY - 2008

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N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/12898

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EP - 134

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