74 citations · 340 across the 34 of their papers we have counts for
37 papers
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi +14
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disp…
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal +2
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for c…
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…
Efficient Semantic Summary Graphs for Querying Large Knowledge Graphs
Emetis Niazmand, Gezim Sejdiu, Damien Graux +1
Knowledge Graphs (KGs) integrate heterogeneous data, but one challenge is the development of efficient tools for allowing end users to extract useful insights from these sources of…
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…
Reuse of Semantic Models for Emerging Smart Grids Applications
Valentina Janev, Dušan Popadić, Dea Pujić +2
Data in the energy domain grows at unprecedented rates. Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, dat…
Managing Knowledge in Energy Data Spaces
Valentina Janev, Maria-Esther Vidal, Kemele Endris +1
Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can b…
Analyzing a Knowledge Graph of Industry4.0 Standards
Irlan Grangel-Gonzalez, Maria-Esther Vidal
In this article, we tackle the problem of standard interoperability across different standardization frameworks, and devise a knowledge-driven approach that allows for the descript…
Knowledge-driven Data Ecosystems Towards Data Transparency
Sandra Geisler, Maria-Esther Vidal, Cinzia Cappiello +9
A Data Ecosystem offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues amo…
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints
Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal
Knowledge graphs have emerged as expressive data structures for Web data. Knowledge graph potential and the demand for ecosystems to facilitate their creation, curation, and unders…
Compact Representations for Efficient Storage of Semantic Sensor Data
Farah Karim, Maria-Esther Vidal, Sören Auer
Nowadays, there is a rapid increase in the number of sensor data generated by a wide variety of sensors and devices. Data semantics facilitate information exchange, adaptability, a…
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…
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
Ariam Rivas, Irlán Grangel-González, Diego Collarana +2
Industry~4.0 (I4.0) standards and standardization frameworks have been proposed with the goal of \emph{empowering interoperability} in smart factories. These standards enable the d…
Optimizing Federated Queries Based on the Physical Design of a Data Lake
Philipp D. Rohde, Maria-Esther Vidal
The optimization of query execution plans is known to be crucial for reducing the query execution time. In particular, query optimization has been studied thoroughly for relational…
Compacting Frequent Star Patterns in RDF Graphs
Farah Karim, Maria-Esther Vidal, Sören Auer
Knowledge graphs have become a popular formalism for representing entities and their properties using a graph data model, e.g., the Resource Description Framework (RDF). An RDF gra…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…
Enhancing Virtual Ontology Based Access over Tabular Data with Morph-CSV
David Chaves-Fraga, Edna Ruckhaus, Freddy Priyatna +2
Ontology-Based Data Access (OBDA) has traditionally focused on providing a unified view of heterogeneous datasets, either by materializing integrated data into RDF or by performing…
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
Ahmad Sakor, Kuldeep Singh, Anery Patel +1
The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from the text, and possibly linking them to prope…
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking
Isaiah Onando Mulang, Kuldeep Singh, Akhilesh Vyas +4
The collaborative knowledge graphs such as Wikidata excessively rely on the crowd to author the information. Since the crowd is not bound to a standard protocol for assigning entit…
A Domain-Specific Language for Verifying Software Requirement Constraints
Marzina Vidal, Tiago Massoni, Franklin Ramalho
Software requirement analysis can certainly benefit from prevention and early detection of failures, in particular by some kind of automatic analysis. Formal methods offer means to…
Proceedings of The Magnificent CENS Workshop 2018
D. Aristizabal Sierra, A. B. Balantekin, D. Caratelli +42
The Magnificent CENS Workshop (2018) was held November 2 & 3 of 2018 on the University of Chicago campus and brought together theorists, phenomenologists, and experimentalists w…
Towards an Integrated Graph Algebra for Graph Pattern Matching with Gremlin (Extended Version)
Harsh Thakkar, Dharmen Punjani, Soeren Auer +1
Graph data management (also called NoSQL) has revealed beneficial characteristics in terms of flexibility and scalability by differently balancing between query expressivity and sc…