activity
20182022
most citedAFDP: An Automated Function Description Prediction Approach to Improve Accuracy of Protein Function Predictions

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DB2022

Dragoman: Efficiently Evaluating Declarative Mapping Languages over Frameworks for Knowledge Graph Creation

Samaneh Jozashoori, Enrique Iglesias, Maria-Esther Vidal

In recent years, there have been valuable efforts and contributions to make the process of RDF knowledge graph creation traceable and transparent; extending and applying declarativ…

cs.DB2020

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga +2

In recent years, the amount of data has increased exponentially, and knowledge graphs have gained attention as data structures to integrate data and knowledge harvested from myriad…

q-bio.GN20191 cited

AFDP: An Automated Function Description Prediction Approach to Improve Accuracy of Protein Function Predictions

Samaneh Jozashoori, Amir Jozashoori, Heiko Schoof

With the rapid growth in high-throughput biological sequencing technologies and subsequently the amount of produced omics data, it is essential to develop automated methods to anno…

cs.DB20191 cited

Linked Open Data Validity -- A Technical Report from ISWS 2018

Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam +68

Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge potentially a…

cs.DB2018

Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale

Samaneh Jozashoori, Tatiana Novikova, Maria-Esther Vidal

In recent years, following FAIR and open data principles, the number of available big data including biomedical data has been increased exponentially. In order to extract knowledge…