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Conference Papers Year : 2014

Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies

Abstract

Heterogeneous data resources in biomedicine be- come available both in structured and unstructured formats, such as scientific publications and healthcare guidelines com- pared to formal biomedical ontologies and controlled vocabu- laries. Increasing researches focus on bridging the gaps among the heterogeneous data to discovery implicit knowledge. To make this happen, efficient computational approaches are a necessity for applications in such a knowledge- and data- intensive domain. In this paper, we first define a particular task, relation alignment, which is to identify textual evidences for biomedical ontologies. Then, we investigate two parallel ap- proaches for this task over distributed systems and present the details of their implementations. Moreover, we characterize the performance of our methods through extensive experiments, thereby allowing researchers to make a more informed choice in the presence of large-scale biomedical data.
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Dates and versions

hal-01139036 , version 1 (03-04-2015)

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  • HAL Id : hal-01139036 , version 1

Cite

Yue Ma, Cheng Long. Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies. 14th IEEE International Conference on Bioinformatics and BioEngineering (BIBE'14), 2014, Boca Raton, United States. ⟨hal-01139036⟩
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