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Authors: Mohammad Shafahi ; Hayo Bart and Hamideh Afsarmanesh

Affiliation: University of Amsterdam, Netherlands

Keyword(s): BioMed Xplorer, Disease Related Information, Semantic Web, Knowledge Base Ontology, Visualization, Provenance Data, Medical Knowledge, External Data Source, RDF, Graph, Knowledge Exploration.

Related Ontology Subjects/Areas/Topics: Algorithms and Software Tools ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Data Mining and Machine Learning ; Databases and Data Management ; Soft Computing ; Visualization ; Web Services in Bioinformatics

Abstract: Developing an effective model for predicting risks of a disease requires exploration of a vast body of (bio)medical knowledge. Furthermore, the continuous growth of this body of knowledge poses extra challenges. Numerous research has attempted to address these issues through developing a variety of approaches and support tools. Most of these tools however, do not sufficiently address the needed dynamism, lack intuitiveness in their use, and present a rather scarce amount of information usually obtained from a single source. This research aims to address the aforementioned gaps through the development of a dynamic model for (bio)medical knowledge, represented as a network of interrelated (bio)medical concepts, and integrating disperse sources. To this end, this paper introduces BioMed Xplorer, presenting a model and a tool that enables researchers to explore biomedical knowledge, organized in an information graph, through a user friendly and intuitive interface. Furthermore, BioMed Xp lorer provides concept related information from a multitude of sources, while also preserving and presenting their provenance data. For this purpose a RDF knowledge base has been created based on a core ontology which we have introduced. Results are further experimented with and validated by some domain experts and are contrasted against the state of the art. (More)

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Paper citation in several formats:
Shafahi, M.; Bart, H. and Afsarmanesh, H. (2016). BioMed Xplorer - Exploring (Bio)Medical Knowledge using Linked Data. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS, (BIOSTEC 2016) ISBN 978-989-758-170-0; ISSN 2184-4305, pages 51-62. DOI: 10.5220/0005700300510062

@conference{bioinformatics16,
author={Mohammad Shafahi. and Hayo Bart. and Hamideh Afsarmanesh.},
title={BioMed Xplorer - Exploring (Bio)Medical Knowledge using Linked Data},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS, (BIOSTEC 2016)},
year={2016},
pages={51-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005700300510062},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS, (BIOSTEC 2016)
TI - BioMed Xplorer - Exploring (Bio)Medical Knowledge using Linked Data
SN - 978-989-758-170-0
IS - 2184-4305
AU - Shafahi, M.
AU - Bart, H.
AU - Afsarmanesh, H.
PY - 2016
SP - 51
EP - 62
DO - 10.5220/0005700300510062

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