Evidence map›Paper›PMID 19796402›Full record

ArticleBMC bioinformatics2009

KA-SB: from data integration to large scale reasoning.

María del Mar Roldán-García, Ismael Navas-Delgado, Amine Kerzazi, Othmane Chniber, Joaquín Molina-Castro, José F Aldana-Montes

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Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

María del Mar Roldán-GarcíaComputer Languages and Computing Science Department, Higher Technical School of Computer Science Engineering, University of Málaga, Málaga, 29071, Spain. mmar@lcc.uma.es
Ismael Navas-Delgado
Amine Kerzazi
Othmane Chniber
Joaquín Molina-Castro
José F Aldana-Montes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe analysis of information in the biological domain is usually focused on the analysis of data from single on-line data sources. Unfortunately, studying a biological process requires having access to disperse, heterogeneous, autonomous data sources. In this context, an analysis of the information is not possible without the integration of such data.

methodsKA-SB is a querying and analysis system for final users based on combining a data integration solution with a reasoner. Thus, the tool has been created with a process divided into two steps: 1) KOMF, the Khaos Ontology-based Mediator Framework, is used to retrieve information from heterogeneous and distributed databases; 2) the integrated information is crystallized in a (persistent and high performance) reasoner (DBOWL). This information could be further analyzed later (by means of querying and reasoning).

resultsIn this paper we present a novel system that combines the use of a mediation system with the reasoning capabilities of a large scale reasoner to provide a way of finding new knowledge and of analyzing the integrated information from different databases, which is retrieved as a set of ontology instances. This tool uses a graphical query interface to build user queries easily, which shows a graphical representation of the ontology and allows users o build queries by clicking on the ontology concepts.

conclusionThese kinds of systems (based on KOMF) will provide users with very large amounts of information (interpreted as ontology instances once retrieved), which cannot be managed using traditional main memory-based reasoners. We propose a process for creating persistent and scalable knowledgebases from sets of OWL instances obtained by integrating heterogeneous data sources with KOMF. This process has been applied to develop a demo tool http://khaos.uma.es/KA-SB, which uses the BioPax Level 3 ontology as the integration schema, and integrates UNIPROT, KEGG, CHEBI, BRENDA and SABIORK databases.

Indexed as

SoftwareComputational BiologyDatabase Management SystemsDatabases, FactualInformation Storage and RetrievalInternet

Identifiers

PMID19796402
PMCPMC2755826

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.