72 citations · 96 across the 10 of their papers we have counts for
10 papers
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…
Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities
Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand +9
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects caused by d…
Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources
Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal
RDF knowledge graphs (KG) are powerful data structures to represent factual statements created from heterogeneous data sources. KG creation is laborious and demands data management…
EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
Samaneh Jozashoori, Ahmad Sakor, Enrique Iglesias +1
Despite encoding enormous amount of rich and valuable data, existing data sources are mostly created independently, being a significant challenge to their integration. Mapping lang…
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…
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation
Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias +2
Data has exponentially grown in the last years, and knowledge graphs constitute powerful formalisms to integrate a myriad of existing data sources. Transformation functions -- spec…
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…
MapSDI: A Scaled-up Semantic Data Integration Framework for Knowledge Graph Creation
Samaneh Jozashoori, Maria-Esther Vidal
Semantic web technologies have significantly contributed with effective solutions for the problems of data integration and knowledge graph creation. However, with the rapid growth…
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…
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…