A5055433807- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Advanced Graph Neural Networks
- Topic Modeling
- Scientific Computing and Data Management
- Natural Language Processing Techniques
- Bioinformatics and Genomic Networks
- Graph Theory and Algorithms
- Web Data Mining and Analysis
- Big Data and Business Intelligence
- Digital Transformation in Industry
- Data Mining Algorithms and Applications
- Research Data Management Practices
- Privacy-Preserving Technologies in Data
- Machine Learning in Healthcare
- Business Process Modeling and Analysis
- Computational Drug Discovery Methods
- Algorithms and Data Compression
- Advanced Software Engineering Methodologies
- Genetics, Bioinformatics, and Biomedical Research
- Distributed and Parallel Computing Systems
Technische Informationsbibliothek (TIB)
2017-2025
L3S Research Center
2018-2025
Leibniz University Hannover
2018-2025
University of Concepción
2024
Simón Bolívar University
2011-2023
PRG S&Tech (South Korea)
2020-2022
Universidad Simón Bolívar
2004-2021
Universidad Politécnica de Madrid
2020
Géoazur
2018-2019
Fraunhofer Institute for Intelligent Analysis and Information Systems
2016-2018
Abstract Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their might affect everyone, everywhere, anytime, entailing concerns about potential human rights issues. Therefore, it is necessary move beyond traditional AI algorithms optimized for predictive performance embed ethical legal principles in their design, training, deployment ensure social good while still benefiting from the huge of...
The document-centric workflows in science have reached (or already exceeded) the limits of adequacy. This is emphasized by recent discussions on increasing proliferation scientific literature and reproducibility crisis. presents an opportunity to rethink dominant paradigm scholarly information communication transform it into knowledge-based flows representing expressing through semantically rich, interlinked knowledge graphs. At core creation evolution models that establish a common...
Modern question answering (QA) systems need to flexibly integrate a number of components specialised fulfil specific tasks in QA pipeline. Key include Named Entity Recognition and Disambiguation, Relation Extraction, Query Building. Since different software exist that implement strategies for each these tasks, it is major challenge select combine the most suitable into system, given characteristics question. We study this optimisation problem train classifiers, which take features as input...
Ahmad Sakor, Isaiah Onando Mulang', Kuldeep Singh, Saeedeh Shekarpour, Maria Esther Vidal, Jens Lehmann, Sören Auer. Proceedings of the 2019 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
Interoperability among actors, sensors, and heterogeneous systems is a crucial factor for realizing the Industry 4.0 vision, i.e., creation of Smart Factories by enabling intelligent human-to-machine machine-to-machine cooperation. In order to empower interoperability in Factories, standards reference architectures have been proposed. Standards allow description components, systems, processes, as well interactions them. Reference classify, align, integrate industrial according their purposes...
In recent years, the amount of data has increased exponentially, and knowledge graphs have gained attention as structures to integrate harvested from myriad sources. However, complexity issues like large volume, high-duplicate rate, heterogeneity usually characterize these sources, being required management tools able address negative impact on graph creation process. this paper, we propose SDM-RDFizer, an interpreter RDF Mapping Language (RML), transform raw in various formats into graph....
Eating disorders affect an increasing number of people. Social networks provide information that can help.We aimed to find machine learning models capable efficiently categorizing tweets about eating domain.We collected related disorders, for 3 consecutive months. After preprocessing, a subset 2000 was labeled: (1) messages written by people suffering from or not, (2) promoting (3) informative and (4) scientific nonscientific messages. Traditional deep were used classify tweets. We evaluated...
Artificial intelligence (AI) has contributed substantially in recent years to the resolution of different biomedical problems, including cancer. However, AI tools with significant and widespread impact oncology remain scarce. The goal this study is present an AI-based solution tool for cancer patients data analysis that assists clinicians identifying clinical factors associated poor prognosis, relapse survival, develop a prognostic model stratifies by risk.We used from 5275 diagnosed...
In recent years, knowledge graphs (KGs) have been considered pyramids of interconnected data enriched with semantics for complex decision-making. The potential KGs and the demand interpretability machine learning (ML) models in diverse domains (e.g., healthcare) gained more attention. lack model transparency negatively impacts understanding and, consequence, predictions made by a model. Data-driven should be empowered required to trace down their decisions transformations input increase...
A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and resolution interoperability issues among shared data. However, despite years research in governance management, trustability is still affected by absence transparent traceable data-driven pipelines. In this work, we focus on requirements challenges DEs face when ensuring transparency. Requirements are derived from organizational as well broader legal...
There is an increase in the number of data sources that can be queried across WWW. Such typically support HTML forms-based interfaces and search engines query collections suitably indexed data. The displayed via a browser: One drawback to these there no standard programming interface suitable for applications submit queries. Second, output (answer query) not well structured. Structured objects have extracted from documents which contain irrelevant may volatile. Third, domain knowledge about...
The maintenance and use of metadata such as provenance time-related information is increasing importance in the Semantic Web, especially for Big Data applications that work on heterogeneous data from multiple sources which require high quality. In an RDF dataset, it possible to s tore alongside actual several representation models have been proposed. However, there still no in-depth comparative evaluation main alternatives both conceptual level implementation using different graph backends....