A NEW LATENT SEMANTIC ANALYSIS BASED METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM BIOMEDICAL LITERATURE AND BIOLOGICAL PATHWAYS DATABASES

F. Abate; A. Acquaviva; E. Ficarra; E. Macii

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Paper

A NEW LATENT SEMANTIC ANALYSIS BASED METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM BIOMEDICAL LITERATURE AND BIOLOGICAL PATHWAYS DATABASES

Topics: Algorithms and Software Tools; Data Mining and Machine Learning; Web Services in Bioinformatics

In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 0BIOSTEC, 66-74, 2011 , Rome, Italy

Authors: F. Abate ; A. Acquaviva ; E. Ficarra and E. Macii

Affiliation: Politecnico di Torino, Italy

Keyword(s): Bioinformatic, Latent semantic analysis, Text mining, Biological pathway.

Related Ontology Subjects/Areas/Topics: Algorithms and Software Tools ; Bioinformatics ; Biomedical Engineering ; Data Mining and Machine Learning ; Web Services in Bioinformatics

Abstract: Nowadays, a considerable amount of genetic and biomedical studies are mostly diffused on theWeb and freely available. This exciting capability, if from one side opens the way to new scenarios of cooperating research, on the other side makes the knowledge retrieval and extraction an extremely time consuming operation. In this context, the development of new tools and algorithms to automatically support the scientist activity to achieve a reliable interpretation of the complex interactions among biological entities is mandatory. In this paper we present a new methodology aimed at quantifying the biological degree of correlation among biomedical terms present in literature. The proposed method overcomes the limitation of current tools based on public literature information only, by exploiting the trustworthy information provided by biological pathways databases. We demonstrate how to integrate trusted pathway information in a semantic correlation extraction chain based on UMLS Metathesa urus and relying on PubMed as literature database. The effectiveness of the obtained results remarks the importance of automatically quantifying the degree of correlation among biomedical terms in order to helpfully support the scientist research activity. (More)

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Paper citation in several formats:

Abate, F.; Acquaviva, A.; Ficarra, E. and Macii, E. (2011). A NEW LATENT SEMANTIC ANALYSIS BASED METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM BIOMEDICAL LITERATURE AND BIOLOGICAL PATHWAYS DATABASES . In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS; ISBN 978-989-8425-36-2; ISSN 2184-4305, SciTePress, pages 66-74. DOI: 10.5220/0003171400660074

@conference{bioinformatics11,
author={F. Abate. and A. Acquaviva. and E. Ficarra. and E. Macii.},
title={A NEW LATENT SEMANTIC ANALYSIS BASED METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM BIOMEDICAL LITERATURE AND BIOLOGICAL PATHWAYS DATABASES },
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS},
year={2011},
pages={66-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003171400660074},
isbn={978-989-8425-36-2},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS
TI - A NEW LATENT SEMANTIC ANALYSIS BASED METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM BIOMEDICAL LITERATURE AND BIOLOGICAL PATHWAYS DATABASES
SN - 978-989-8425-36-2
IS - 2184-4305
AU - Abate, F.
AU - Acquaviva, A.
AU - Ficarra, E.
AU - Macii, E.
PY - 2011
SP - 66
EP - 74
DO - 10.5220/0003171400660074
PB - SciTePress