A Proposed Knowledge Based Approach for Solving Proteomics Issues

Daniele Peri; Salvatore Gaglio; Massimo La Rosa; Antonino Fiannaca; Daniele Peri; Alfonso Urso; Salavatore Gaglio; Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa

A Proposed Knowledge Based Approach for Solving Proteomics Issues

Daniele Peri, Salvatore Gaglio, Massimo La Rosa, Antonino Fiannaca, Daniele Peri, Alfonso Urso, Salavatore Gaglio, Riccardo Rizzo, Antonino Fiannaca, Massimo La Rosa

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Abstract

In this paper we present a novel knowledge-based approach that aims at helping scientists to face and resolve a large number of proteomics problem. The system architecture is based on an ontologyto model the knowledge base, a reasoner that starting from the user’s request and a set of rules builds the workflow of tasks to be done, and an executor that runs the algorithms and software scheduled by the reasoner. The system can interact with the user showing him intermediate results and several options in order to refine the workflow and supporting him to choose among different forks. Thanks to the presence of the knowledge base and the modularity provided by the ontology, the system canbe enriched with new expertise in order to deal with other proteomic or bioinformatics issues. Two possible application scenarios are presented.

Lingua originale	English
Titolo della pubblicazione ospite	Computational Intelligence Methods for Bioinformatics and Biostatistics: 6th international meeting CIBB 2009
Pagine	304-318
Numero di pagine	15
Stato di pubblicazione	Published - 2010

Serie di pubblicazioni

Nome	LECTURE NOTES IN COMPUTER SCIENCE

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
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A Proposed Knowledge Based Approach for Solving Proteomics Issues. / Peri, Daniele ; Gaglio, Salvatore; La Rosa, Massimo; Fiannaca, Antonino; Peri, Daniele; Urso, Alfonso; Gaglio, Salavatore; Rizzo, Riccardo; Fiannaca, Antonino; La Rosa, Massimo.

Computational Intelligence Methods for Bioinformatics and Biostatistics: 6th international meeting CIBB 2009. 2010. pag. 304-318 (LECTURE NOTES IN COMPUTER SCIENCE).

Risultato della ricerca: Chapter

Peri, Daniele ; Gaglio, Salvatore ; La Rosa, Massimo ; Fiannaca, Antonino ; Peri, Daniele ; Urso, Alfonso ; Gaglio, Salavatore ; Rizzo, Riccardo ; Fiannaca, Antonino ; La Rosa, Massimo. / A Proposed Knowledge Based Approach for Solving Proteomics Issues. Computational Intelligence Methods for Bioinformatics and Biostatistics: 6th international meeting CIBB 2009. 2010. pagg. 304-318 (LECTURE NOTES IN COMPUTER SCIENCE).

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author = "Daniele Peri and Salvatore Gaglio and {La Rosa}, Massimo and Antonino Fiannaca and Daniele Peri and Alfonso Urso and Salavatore Gaglio and Riccardo Rizzo and Antonino Fiannaca and {La Rosa}, Massimo",

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AU - Gaglio, Salvatore

AU - La Rosa, Massimo

AU - Fiannaca, Antonino

AU - Peri, Daniele

AU - Urso, Alfonso

AU - Gaglio, Salavatore

AU - Rizzo, Riccardo

AU - Fiannaca, Antonino

AU - La Rosa, Massimo

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