no code implementations • 8 Feb 2024 • José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal
We tested our approach on a dataset of 2, 000 tweets about eating disorders, finding that merging word embeddings with knowledge graph information enhances the predictive models' reliability.
no code implementations • 8 Feb 2024 • José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor-Vargas, María Teresa García-Ordás
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information.
no code implementations • 30 Oct 2023 • Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal
How can AI be made accountable for its decision-making?
no code implementations • 24 Jan 2022 • Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal
Given a set of mapping assertions, the planner provides an optimized execution plan by partitioning and scheduling the execution of the assertions.
1 code implementation • 14 Dec 2021 • Samaneh Jozashoori, Ahmad Sakor, Enrique Iglesias, Maria-Esther Vidal
Mapping languages, e. g., RML and R2RML, facilitate declarative specification of the process of applying meta-data and integrating data into a knowledge graph.
1 code implementation • 18 Jan 2021 • Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal
Trav-SHACL reorders the shapes in a shape schema for efficient validation and rewrites target and constraint queries for the fast detection of invalid entities.
Knowledge Graphs Databases
1 code implementation • 31 Aug 2020 • Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias, Maria-Esther Vidal, Oscar Corcho
We propose FunMap, an interpreter of function-based mapping languages; it relies on a set of lossless rewriting rules to push down and materialize the execution of functions in initial steps of knowledge graph creation.
Databases
1 code implementation • 17 Aug 2020 • Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria-Esther Vidal
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 data sources.
Databases
1 code implementation • 3 Jun 2020 • Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal
We use knowledge graph embeddings to automatically create these communities exploiting the meaning of the existing relationships.
no code implementations • 19 Feb 2020 • Philipp D. Rohde, Maria-Esther Vidal
However, state-of-the-art query engines for federated query processing over Semantic Data Lakes often rely on optimization techniques tailored for RDF.
Databases
1 code implementation • 24 Jan 2020 • David Chaves-Fraga, Edna Ruckhaus, Freddy Priyatna, Maria-Esther Vidal, Oscar Corcho
In the specific case of tabular datasets represented as several CSV or Excel files, query translation approaches have been applied by considering each source as a single table that can be loaded into a relational database management system (RDBMS).
Databases
1 code implementation • 24 Dec 2019 • Ahmad Sakor, Kuldeep Singh, Anery Patel, Maria-Esther Vidal
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 proper matches in Knowledge Graphs (KGs).
no code implementations • 14 Aug 2019 • Kuldeep Singh, Mohamad Yaser Jaradeh, Saeedeh Shekarpour, Akash Kulkarni, Arun Sethupat Radhakrishna, Ioanna Lytra, Maria-Esther Vidal, Jens Lehmann
Collaborative Question Answering (CQA) frameworks for knowledge graphs aim at integrating existing question answering (QA) components for implementing sequences of QA tasks (i. e. QA pipelines).
3 code implementations • 26 Sep 2018 • Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann
Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising importance of question answering for user interaction.
no code implementations • 22 May 2017 • Ashwini Jaya Kumar, Camilo Morales, Maria-Esther Vidal, Christoph Schmidt, Sören Auer
In this paper, we have tried to see the semantic relatedness between the words in a sentence to rescore the N-best list.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4