Neda Alipanah

Learn More
The alignment of separate ontologies by matching related concepts continues to attract great attention within the database and artificial intelligence communities, especially since semantic heterogeneity across data sources remains a widespread and relevant problem. In particular, the Geographic Information System (GIS) domain presents unique forms of(More)
In view of the need for highly distributed and federated architecture, ranking ontologies from different data sources in a specific domain have great impact on the performance of web applications. Since ontologies for a same domain usually overlap, we aim to rank ontologies based on the commonality of overlapping entities and distance between each pair of(More)
—In view of the need for a highly distributed and federated architecture, a robust query expansion in a specific domain has great impact on the performance of information retrieval. We aim to determine robust expansion terms using different weighting techniques and finding out the most k-top relevant terms. For this, first, we consider each individual(More)
The database of genotypes and phenotypes (dbGaP) developed by the National Center for Biotechnology Information (NCBI) is a resource that contains information on various genome-wide association studies (GWAS) and is currently available via NCBI's dbGaP Entrez interface. The database is an important resource, providing GWAS data that can be used for new(More)
The database of Genotypes and Phenotypes (dbGaP) is archiving the results of different Genome Wide Association Studies (GWAS). dbGaP has a multitude of phenotype variables, but they are not harmonized across studies. We proposed a method to standardize phenotype variables by classifying similar variables based on semantic distances. We first extracted(More)
—In view of the need for a highly distributed and federated architecture, a robust query expansion has great impact on the performance of information retrieval. We aim to determine ontology-driven query expansion terms using different weighting techniques. For this, we consider each individual ontology and user query keywords to determine the Basic(More)
! Abstract—In view of the need for a highly distributed and federated architecture, a robust query expansion has great impact on the performance of information retrieval in a specific domain. We aim to determine ontology-driven query expansion terms using different weighting techniques to determine the most k-top relevant terms. For this, first we consider(More)
—In view of the need for service-based query processing in a federated environment, ranking data sources (ontologies) and robust query expansion in a specific domain have great impact on the performance and accuracy of web applications. Since robust query expansion exploits multiple data sources (ontologies) instead of a single ontology, ontology ranking is(More)