Cristina-Iulia Bucur

ORCID: 0000-0002-7114-6459
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About
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Research Areas
  • Scientific Computing and Data Management
  • Semantic Web and Ontologies
  • Biomedical Text Mining and Ontologies
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Receptor Mechanisms and Signaling
  • Topic Modeling
  • Academic Writing and Publishing
  • scientometrics and bibliometrics research
  • Research Data Management Practices
  • Data Quality and Management
  • International Business and FDI
  • Migration, Ethnicity, and Economy
  • Privacy-Preserving Technologies in Data
  • Web Data Mining and Analysis
  • Software Engineering Research
  • Data Visualization and Analytics
  • American Constitutional Law and Politics
  • Cell Image Analysis Techniques
  • Socioeconomic Development in Asia
  • Social Capital and Networks
  • Business Process Modeling and Analysis

CNI College
2024

Vrije Universiteit Amsterdam
2014-2023

Centrum Wiskunde & Informatica
2014

The use of semantic technologies is gaining significant traction in science communication with a wide array applications disciplines including the life sciences, computer science, and social sciences. Languages like RDF, OWL, other formalisms based on formal logic are applied to make scientific knowledge accessible not only human readers but also automated systems. These approaches have mostly focused structure publications themselves, used methods equipment, or datasets. core claims...

10.1145/3460210.3493561 preprint EN 2021-11-24

Biological networks have a growing importance for the interpretation of high-throughput “omics” data. Integrative network analysis makes use statistical and combinatorial methods to extract smaller subnetwork modules, performs enrichment annotate modules with ontology terms or other available knowledge. This process results in an annotated module, which retains original structure includes information as set system. A major bottleneck is lack tools that allow exploring both extracted its...

10.1186/1471-2105-15-201 article EN cc-by BMC Bioinformatics 2014-07-07

With the rapidly increasing amount of scientific literature, it is getting continuously more difficult for researchers in different disciplines to keep up-to-date with recent findings their field study. Processing articles an automated fashion has been proposed as a solution this problem, but accuracy such processing remains very poor extraction tasks beyond most basic ones (like locating and identifying entities simple classification based on predefined categories). Few approaches have...

10.7717/peerj-cs.1159 article EN cc-by PeerJ Computer Science 2023-02-21

Scientific publishing seems to be at a turning point. Its paradigm has stayed basically the same for 300 years but is now challenged by increasing volume of articles that makes it very hard scientists stay up date in their respective fields. In fact, many have pointed out serious flaws current scientific practices, including lack accuracy and efficiency reviewing process. To address some these problems, we apply here general principles Web Semantic publishing, focusing on We want determine...

10.48550/arxiv.1910.03218 preprint EN other-oa arXiv (Cornell University) 2019-01-01

Scientific publishing seems to be at a turning point. Its paradigm has stayed basically the same for 300 years but is now challenged by increasing volume of articles that makes it very hard scientists stay up date in their respective fields. In fact, many have pointed out serious flaws current scientific practices, including lack accuracy and efficiency reviewing process. To address some these problems, we apply here general principles Web Semantic publishing, focusing on We want determine...

10.1145/3360901.3364434 article EN 2019-09-23

Background: Biological networks have a growing importance for the interpretation of high-throughput omics data. Integrative network analysis makes use statistical and combinatorial methods to extract smaller subnetwork modules, performs enrichment annotate modules with ontology terms or other available knowledge. This process results in an annotated module, which retains original structure includes information as set system. A major bottleneck is lack tools that allow exploring both...

10.48550/arxiv.1407.2101 preprint EN other-oa arXiv (Cornell University) 2014-01-01

Background. Biological networks have growing importance for the interpretation of high-throughput "omics" data. Statistical and combinatorial methods allow to obtain mechanistic insights through extraction smaller subnetwork modules. Further enrichment analyses provide set-based annotations these Results. We present eXamine, a set-oriented visual analysis approach annotated modules that displays set membership as contours on top node-link layout. Our extends upon Self Organizing Maps...

10.48550/arxiv.1312.4490 preprint EN other-oa arXiv (Cornell University) 2013-01-01
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