In this paper, we present such a model that clusters integrated data based on semantic closeness of predicates into different groups and produces meaningful ...

In this paper, we present such a model that clusters integrated data based on semantic closeness of predicates into different groups and produces meaningful ...

Therefore, there is a need for a mechanism to do semantic partition and query generation for cross domain biomedical knowledge discovery. In this paper, we ...

A model is presented that clusters integrated data based on semantic closeness of predicates into different groups and produces meaningful queries to fully ...

Therefore, there is a need for a mechanism to do semantic partition and query generation for cross domain biomedical knowledge discovery. In this paper, we ...

Specifically, we developed an innovative knowledge discovery algorithm that combines a graph clustering method and an indexing technique to discovery knowledge ...

BmQGen Biomedical Query Generator for Knowledge Discovery - Free download as PDF File (.pdf), Text File (.txt) or read online for free.

Mar 14, 2016 · In this paper, we present such a model that clusters integrated data based on semantic closeness of predicates into different groups and ...

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(2015) BmQGen Biomedical Query Generator for Knowledge Discovery. 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Washington DC ...